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Leonardo Vanneschi is a Full Professor (Professor Catedrático) at the NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Portugal. His main research interests involve Machine Learning, Data Science, Complex Systems, and in particular Evolutionary Computation. His work can be broadly partitioned into theoretical studies on the foundations of Evolutionary Computation, and applicative work. The former covers the study of the principles of functioning of Evolutionary Algorithms, with the final objective of developing strategies able to outperform the traditional techniques. The latter covers several different fields among which computational biology, image processing, personalized medicine, engineering, economics and logistics. He has published more than 260 contributions, 11 of which have been honored with international awards. He has led several research projects. His work is recognized and appreciated by the international community. In 2015, he was honoured with the Award for Outstanding Contributions to Evolutionary Computation in Europe, in the context of EvoStar, the leading European Event on Bio-Inspired Computation. Since 2018, we was consistently included in the list of the top 2% world scientists by the Stanford University, both for the current year and careerwise.
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Identificação

Identificação pessoal

Nome completo
Leonardo Vanneschi

Nomes de citação

  • Vanneschi, Leonardo

Identificadores de autor

Ciência ID
9F10-1ADB-A91A
ORCID iD
0000-0003-4732-3328

Websites

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Francês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador independente (B1) Utilizador proficiente (C1)
Italiano Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Português Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador independente (B1) Utilizador proficiente (C1)
Formação
Grau Classificação
2016 - 2016
Concluído
 Gestão de Informação (Título de Agregado)
Especialização em Sistemas de Informação e Decisão
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
"Theory and Practice for Efficient Genetic Programming" (TESE/DISSERTAÇÃO)
2000/01/07 - 2004/09/01
Concluído
 Institut d'Informatique (Doctor of Philosophy)
Especialização em Artificial Intelligence
Universite de Lausanne, Suiça
 Summa cum Laude
1990/09/01 - 1996/02/02
Concluído
 Informatica (Laurea)
Especialização em Computer Science
Università degli Studi di Pisa, Itália
 Summa cum Laude
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
1999 - 2004 Investigador (Investigação) Universite de Lausanne, Suiça

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2019 - Atual Professor Catedrático (Docente Universitário) Universidade NOVA de Lisboa, Portugal
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2014 - 2019 Professor Associado (Docente Universitário) Universidade NOVA de Lisboa, Portugal
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2011 - 2014 Professor Auxiliar (Docente Universitário) Universidade NOVA de Lisboa, Portugal
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2010 - 2011 Professor Auxiliar Convidado (Docente Universitário) Università degli Studi di Pisa, Itália
Università degli Studi di Pisa, Itália
2004 - 2011 Professor Auxiliar (Docente Universitário) Università degli Studi di Milano-Bicocca, Itália
Università degli Studi di Milano-Bicocca, Itália
2004 - 2006 Professor Auxiliar Convidado (Docente Universitário) Universite de Lausanne, Suiça
Universite de Lausanne, Suiça

Outras Carreiras

Categoria Profissional
Instituição de acolhimento 		Empregador
1998 - 1999 Técnico Superior (Técnico Superior) Alenia Marconi Systems, Reino Unido
1996 - 1998 Técnico Superior (Técnico Superior) Intecs, Itália

Outros

Categoria Profissional
Instituição de acolhimento 		Empregador
2023 - Atual Since 2023, director of the MagIC research center of the NOVA IMS, Universidade Nova de Lisboa. Universidade NOVA de Lisboa NOVA Information Management School, Portugal
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2014 - 2020 From 2014 to 2020, diretor of the Master in Data Science and Advanced Analyitics of NOVA IMS, Universidade Nova de Lisboa. Universidade NOVA de Lisboa NOVA Information Management School, Portugal
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2013 - 2015 From 2013 to 2015, coordinator of the Erasmus program of NOVA IMS, Universidade Nova de Lisboa. Universidade NOVA de Lisboa NOVA Information Management School, Portugal
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
Projetos

Projeto

Designação Financiadores
2023/03/02 - 2026/02/28 POLEN: Polen Research Data Repository Service.
POCI-05-5762-FSE-000438
Investigador responsável
Universidade NOVA de Lisboa NOVA Information Management School, Portugal

Fundação para a Ciência e a Tecnologia, Portugal
Em curso
2011/01/01 - 2024/12/31 Centro de Investigação em Gestão de Informação
UID/Multi/04152/2019
Investigador responsável
Universidade NOVA de Lisboa, Portugal

Universidade Nova de Lisboa MagIC, Portugal

Universidade NOVA de Lisboa NOVA Information Management School, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2020/01/01 - 2023/07/31 AICE: Ciência de Dados e o Sobre-Endividamento: Uso de Algoritmos de Inteligência Artificial no Consumo de Crédito e Conciliação de Endividamento em Portugal
DSAIPA/DS/0113/2019
Investigador responsável
Universidade Nova de Lisboa, Portugal

Universidade de Lisboa Faculdade de Psicologia, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2018/10/01 - 2022/07/31 BINDER: Melhorando a Aprendizagem Profunda Bio-Inspirada para a Radiómica
PTDC/CCI-INF/29168/2017
Investigador responsável
Universidade Nova de Lisboa, Portugal

Fundação Champalimaud, Portugal

Universidade de Coimbra, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2019/01/10 - 2022/07/09 GadGET: Deteção de padrões de adição em jogo online
DSAIPA/DS/0022/2018
Universidade Nova de Lisboa, Portugal

Universidade Nova de Lisboa MagIC, Portugal

Turismo de Portugal, Portugal

Universidade de Coimbra, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2019/01/01 - 2021/12/31 Terapia personalizada para doenças reumáticas por intermédio de aprendizagem automática
PTDC/CCI-CIF/29877/2017
Instituto de Telecomunicações, Portugal

Universidade Nova de Lisboa, Portugal

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2019 - 2021 AI2IA: Evaluation of Impact and Artificial Intelligence
POCI-05-5762-FSE-000204
Investigador responsável
Concluído
2016 - 2020 Large Scale Evolutionary Learning
CONACYT
Investigador
Concluído
2019/01/01 - 2019/12/31 Instituto de Biosistemas & Ciências Integrativas
UID/Multi/04046/2019
FCiênciasID Associação para a Investigação e Desenvolvimento de Ciências, Portugal

Universidade de Lisboa Instituto de Biossistemas e Ciências Integrativas, Portugal

Instituto Nacional de Saúde Doutor Ricardo Jorge, Portugal

Universidade do Minho, Portugal

Universidade de Lisboa Faculdade de Ciências, Portugal

Fundação da Faculdade de Ciências da Universidade de Lisboa, Portugal

Universidade do Porto Faculdade de Ciências, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2016/06/17 - 2019/12/16 PERSEIDS - Personalização de terapêuticas oncológicas através de modelação integrada e decisão
PTDC/EMS-SIS/0642/2014
Instituto de Engenharia Mecânica, Portugal

Instituto de Telecomunicações, Portugal

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal

Centro Hospitalar Universitário Lisboa Norte EPE, Portugal

Universidade de Lisboa Instituto de Medicina Molecular João Lobo Antunes, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2013/04/01 - 2015/09/30 MaSSGP: Melhorando a Programação Genética Semântica para a Segurança Marítima, a Salvaguarda da Vida Humana e a Protecção Ambiental
PTDC/EEI-CTP/2975/2012
Investigador responsável
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal

Universidade de Coimbra, Portugal

Fundação da Faculdade de Ciências da Universidade de Lisboa, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2010/04/16 - 2013/10/15 EnviGP - Melhorando a Programação Genética para o Ambiente e Outras Aplicações
PTDC/EIA-CCO/103363/2008
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal

Universidade de Coimbra Centro de Informatica e Sistemas, Portugal

Universidade de Coimbra, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2010 - 2012 On the Mathematical Modelling of Biological Systems
RetroNet
Investigador
2006 - 2007 Synthesis and Approximation of Molecular Docking
DELOS
Investigador
Concluído
2005 - 2006 Tracking RFID-based Agents in Distributed Environments
TRADE
Investigador
Concluído
2004 - 2005 Development of an integrated system for 3D image processing
Comerson
Investigador
Concluído
Produções

Publicações

Artigo em conferência
  1. Davide Farinati; Leonardo Vanneschi. "GM4OS". 2024.
    10.1007/978-3-031-56852-7_5
  2. Philipp Fleck; Stephan Winkler; Michael Kommenda; Sara Silva; Leonardo Vanneschi; Michael Affenzeller; Fleck, Philipp; et al. "Evolutionary Algorithms for Segment Optimization in Vectorial GP". 2023.
    10.1145/3583133.3590668
  3. Rebuli, Karina Brotto; Giacobini, Mario; Silva, Sara; Vanneschi, Leonardo; Karina Brotto Rebuli; Mario Giacobini; Sara Silva; Leonardo Vanneschi. "A Comparison of Structural Complexity Metrics for Explainable Genetic Programming". 2023.
    https://doi.org/10.1145/3583133.3590595
  4. Carvalho, Pedro; Ribeiro, Bruno; Rodrigues, Nuno M.; Batista, João E.; Vanneschi, Leonardo; Silva, Sara; Pedro Carvalho; et al. "Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers". 2023.
    https://doi.org/10.1007/978-3-031-30229-9_42
  5. Rosenfeld, Liah; Vanneschi, Leonardo. "EGSGP: an Ensemble System Based on Geometric Semantic Genetic Programming.". 2023.
    https://doi.org/10.1007/978-3-031-31183-3_23
  6. Nadizar, Giorgia; Garrow, Fraser; Sakallioglu, Berfin; Canonne, Lorenzo; Silva, Sara; Vanneschi, Leonardo; Giorgia Nadizar; et al. "An Investigation of Geometric Semantic GP with Linear Scaling". 2023.
    https://doi.org/10.1145/3583131.3590418
  7. Giacomo Zoppi; Leonardo Vanneschi; Mario Giacobini. "Reducing the Number of Training Cases in Genetic Programming". 2022.
    10.1109/CEC55065.2022.9870327
  8. Irene Azzali; Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Giacobini; Leonardo Vanneschi. "Vectorial GP for Alzheimer’s Disease Prediction Through Handwriting Analysis". 2022.
    10.1007/978-3-031-02462-7_33
  9. Mário Ferreira; Diego COSTA PINTO; Márcia Maurer Herter; Jerônimo Soro; Leonardo Vanneschi; Mauro Castelli; Fernando Peres. "Fighting Over-Indebtedness". 2022.
    10.1007/978-3-030-89883-0_158
  10. Zoppi, Giacomo; Vanneschi, Leonardo; Giacobini, Mario. "Reducing the Number of Training Cases in Genetic Programming". 2022.
    10.1109/cec55065.2022.9870327
  11. Bakurov, Illya; Buzzelli, Marco; Castelli, Mauro; Schettini, Raimondo; Vanneschi, Leonardo. "Genetic programming for structural similarity design at multiple spatial scales". 2022.
    Publicado • 10.1145/3512290.3528783
  12. Rebuli, Karina Brotto; Giacobini, Mario; Tallone, Niccolò; Vanneschi, Leonardo. "A preliminary study of prediction interval methods with genetic programming". 2022.
    Publicado • 10.1145/3520304.3528806
  13. Yasmina El Fassi; Diego COSTA PINTO; Leonardo Vanneschi. "The Impact of Self-Regulation on Over-Indebtedness Amid the Pandemic". 2021.
  14. Ana Carina Castagna; Yasmina El Fassi; Diego COSTA PINTO; AnnA Mattila; Leonardo Vanneschi. "Tourism in Times of Scarcity: Traveling During the Pandemic (Abstract)". 2021.
  15. Boto Ferreira, Mário; Costa Pinto, Diego; Herter, M. M.; Soro, Jerônimo; Vanneschi, Leonardo; Castelli, Mauro; Peres, Fernando. "Fighting Over-Indebtedness: An Artificial Intelligence Approach". Trabalho apresentado em 2020 Academy of Marketing Science Annual Conference, Coral Gables, 2020.
  16. Bakurov, Illya; Buzzelli, Marco; Castelli, Mauro; Schettini, Raimondo; Vanneschi, Leonardo. "Parameters optimization of the Structural Similarity Index". 2020.
    10.2352/issn.2694-118X.2020.LIM-13ORCID
  17. Custode, L. L.; Tecce, C. L.; Bakurov, I.; Castelli, Mauro; Cioppa, A. Della; Vanneschi, Leonardo; Custode, L.L.; et al. "A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks". 2020.
    https://doi.org/10.1007/978-3-030-43722-0_33
  18. Rodrigues, N.M.; Silva, S.; Vanneschi, L.; Rodrigues, Nuno M.; Silva, Sara; Vanneschi, Leonardo. "A Study of Fitness Landscapes for Neuroevolution". 2020.
    10.1109/CEC48606.2020.9185783
  19. Abbona, F.; Vanneschi, L.; Bona, M.; Giacobini, M.. "A GP approach for precision farming". 2020.
    10.1109/CEC48606.2020.9185637
  20. Lopez, U.; Trujillo, L.; Silva, S.; Vanneschi, L.; Legrand, P.. "Unlabeled multi-target regression with genetic programming". 2020.
    10.1145/3377930.3389846
  21. Azzali, I.; Vanneschi, Leonardo; Giacobini, M.. "Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming". Trabalho apresentado em EuroGP 2020, 2020.
    Publicado • 10.1007/978-3-030-44094-7_4
  22. Vanneschi, Leonardo; Castelli, M.; Manzoni, L.; Silva, S.; Trujillo, L.. "Is k Nearest Neighbours Regression Better Than GP?". Trabalho apresentado em EuroGP 2020, 2020.
    Publicado • 10.1007/978-3-030-44094-7_16
  23. Carrasquinha, Eunice; Santinha, João; Mongolin, Alexander; Lisitskiya, Maria; Ribeiro, Joana; Cardoso, Fátima; Vanneschi, Leonardo; Papanikolau, Nickolas. "Regularization techniques in radiomics: A case study on the prediction of pathological complete response in Breast tumours and the Axilla.". Trabalho apresentado em In Proceedings Springer series of Lecture Notes in Bioinformatics of the 16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, 2019.
  24. Costa Pinto, Diego; Herter, M. M.; Vanneschi, Leonardo; Castelli, Mauro; Mario Boto Ferreira. "Pode a Inteligência Artificial ajudar-me nas contas? Uso de algoritmos de IA para predizer o sobre-endividamento.". Trabalho apresentado em X Simpósio Nacional de Investigação em Psicologia, Funchal, 2019.
  25. Bakurov, Illya; Castelli, Mauro; Vanneschi, Leonardo; Freitas, Maria João; Bakurov, I.; Castelli, M.; Vanneschi, L.; Freitas, M.J.. "Supporting medical decisions for treating rare diseases through genetic programming". 2019.
    https://doi.org/10.1007/978-3-030-16692-2_13
  26. Carrasquinha, E.; Santinha, J.; Mongolin, A.; Lisitskiya, M.; Ribeiro, J.; Cardoso, F.; Matos, C.; Vanneschi, Leonardo; Papanikolaou, N.. "Regularization techniques in radiomics: A case study on the prediction of pCR in breast tumours and the axilla". Trabalho apresentado em CIBB 2019, 2019.
    Publicado • 10.1007/978-3-030-63061-4_24
  27. Azzali, I.; Vanneschi, Leonardo; Silva, S.; Bakurov, I.; Giacobini, M.. "A Vectorial Approach to Genetic Programming". Trabalho apresentado em EuroGP 2019, 2019.
    Publicado • 10.1007/978-3-030-16670-0_14
  28. Re, A.; Vanneschi, L.; Castelli, M.. "Universal learning machine with genetic programming". 2019.
    10.5220/0007808101150122
  29. Bakurov, I.; Castelli, M.; Fontanella, F.; Vanneschi, L.. "A regression-like classification system for geometric semantic genetic programming". 2019.
    10.5220/0008052900400048
  30. Bakurov, Illya; Vanneschi, Leonardo; Castelli, Mauro; Fontanella, Francesco. "EDDA-V2: an improvement of the evolutionary demes despeciation algorithm". Trabalho apresentado em PPSN 2018, 2018.
    Publicado • https://doi.org/10.1007/978-3-319-99253-2_15
  31. Cava, W.L.; Spector, L.; Silva, S.; Vanneschi, L.; Danai, K.; Moore, J.H.. "A multidimensional genetic programming approach for identifying epsistatic gene interactions". 2018.
    10.1145/3205651.3208217
  32. Bartashevich, P.; Mostaghim, S.; Bakurov, I.; Vanneschi, L.; Bartashevich, Palina; Mostaghim, Sanaz; Bakurov, Illya; Vanneschi, Leonardo. "Evolving PSO algorithm design in vector fields using geometric semantic GP". 2018.
    10.1145/3205651.3205760
  33. Bartashevich, P.; Bakurov, I.; Mostaghim, S.; Vanneschi, Leonardo. "PSO-based search rules for aerial swarms against unexplored vector fields via genetic programming". 2018.
    Publicado • 10.1007/978-3-319-99253-2_4
  34. Castelli, Mauro; Gonçalves, I.; Manzoni, L.; Vanneschi, Leonardo. "Pruning techniques for mixed ensembles of genetic programming models". Trabalho apresentado em EuroGP 2018, 2018.
    Publicado • 10.1007/978-3-319-77553-1_4
  35. Vanneschi, Leonardo; Scott, K.; Castelli, Mauro. "A multiple expression alignment framework for genetic programming". Trabalho apresentado em EuroGP 2018, 2018.
    Publicado • 10.1007/978-3-319-77553-1_11
  36. Vanneschi, L.; Castelli, M.; Goncalves, I.; Manzoni, L.; Silva, S.. "Geometric semantic genetic programming for biomedical applications: A state of the art upgrade". 2017.
    10.1109/CEC.2017.7969311
  37. Vanneschi, L.; Castelli, M.; Moraglio, A.; Manzoni, L.; Silva, S.; Krawiec, K.; Gonçalves, I.. "PSXO – Population-wide semantic crossover". 2017.
    10.1145/3067695.3076003
  38. Vanneschi, L.; Galvao, B.. "A parallel and distributed semantic Genetic Programming system". 2017.
    10.1109/CEC.2017.7969304
  39. Vanneschi, L.; Bakurov, I.; Castelli, M.. "An initialization technique for geometric semantic GP based on demes evolution and despeciation". 2017.
    10.1109/CEC.2017.7969303
  40. Goribar-Jimenez, C.; Maldonado, Y.; Trujillo, L.; Castelli, M.; Goncalves, I.; Vanneschi, L.. "Towards the development of a complete GP system on an FPGA using geometric semantic operators". 2017.
    10.1109/CEC.2017.7969537
  41. Vanneschi, Leonardo. "An introduction to geometric semantic genetic programming". Trabalho apresentado em NEO 2015, 2017.
    Publicado • 10.1007/978-3-319-44003-3_1
  42. La Cava, W.; Silva, S.; Vanneschi, Leonardo; Spector, L.; Moore, J.. "Genetic programming representations for multi-dimensional feature learning in biomedical classification". Trabalho apresentado em EvoApplications 2017, 2017.
    Publicado • 10.1007/978-3-319-55849-3_11
  43. Castelli, M.; Manzoni, L.; Gonçalves, I.; Vanneschi, L.; Trujillo, L.; Silva, S.. "An analysis of geometric semantic crossover: A computational geometry approach". 2016.
    10.5220/0006056402010208
  44. Re, A.; Castelli, Mauro; Vanneschi, Leonardo. "A comparison between representations for evolving images". Trabalho apresentado em EvoMUSART 2016, 2016.
    Publicado • 10.1007/978-3-319-31008-4_12
  45. Castelli, M.; Silva, S.; Trujillo, L.; Z-Flores, E.; Vanneschi, L.; Legrand, P.. "Geometric semantic genetic programming with local search". 2015.
    10.1145/2739480.2754795
  46. Vanneschi, Leonardo; Castelli, Mauro; Costa, E.; Re, A.; Vaz, H.; Lobo, Vítor; Urbano, P.. "Improving maritime awareness with semantic genetic programming and linear scaling: Prediction of vessels position based on AIS data". Trabalho apresentado em EvoApplications 2015, 2015.
    Publicado • 10.1007/978-3-319-16549-3_59
  47. De Felice, M.; Castelli, Mauro; Manzoni, L.; Vanneschi, Leonardo. "Electricity demand modelling with genetic programming". Trabalho apresentado em EPIA 2015, 2015.
    Publicado • 10.1007/978-3-319-23485-4_22
  48. Castelli, M.; Vanneschi, L.. "A hybrid Harmony search algorithm with variable neighbourhood search for the bin-packing problem". 2014.
    10.1109/NaBIC.2014.6921849
  49. Ingalalli, V.; Silva, S.; Castelli, Mauro; Vanneschi, Leonardo. "A multi-dimensional genetic programming approach for multi-class classification problems". Trabalho apresentado em EuroGP 2014, 2014.
    Publicado • 10.1007/978-3-662-44303-3_5
  50. Ruberto, S.; Vanneschi, Leonardo; Castelli, Mauro; Silva, S.. "ESAGP: A semantic GP framework based on alignment in the error space". Trabalho apresentado em EuroGP 2014, 2014.
    Publicado • 10.1007/978-3-662-44303-3_13
  51. Castelli, Mauro; Manzoni, Luca; Silva, Sara; Vanneschi, Leonardo. "The influence of population size on geometric semantic GP". Trabalho apresentado em Workshop at Parallel Problem Solving from Nature 2014 conference, 2014.
    Publicado
  52. Castelli, Mauro; Manzoni, Luca; Silva, Sara; Vanneschi, Leonardo. "Self-tuning geometric semantic GP". Trabalho apresentado em Workshop at Parallel Problem Solving from Nature 2014 conference, 2014.
    Publicado
  53. Castelli, M.; Castaldi, D.; Vanneschi, L.; Giordani, I.; Archetti, F.; Maccagnola, D.; Silva, S.. "An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics". 2013.
    10.1145/2464576.2464644
  54. Vanneschi, Leonardo; Castelli, Mauro; Manzoni, Luca; Silva, S.. "A new implementation of geometric semantic GP and its application to problems in pharmacokinetics". Trabalho apresentado em EuroGP 2013, 2013.
    Publicado • 10.1007/978-3-642-37207-0_18
  55. Castelli, Mauro; Beretta, S.; Vanneschi, Leonardo. "A Hybrid Genetic Algorithm for a Longest Common Subsequence Problem Variant". Trabalho apresentado em EPIA, 2013, 2013.
  56. McDermott, J.; White, D.R.; Luke, S.; Manzoni, L.; Castelli, M.; Vanneschi, L.; Jaskowski, W.; et al. "Genetic programming needs better benchmarks". 2012.
    10.1145/2330163.2330273
  57. Castelli, M.; Manzoni, L.; Vanneschi, L.. "Parameter tuning of evolutionary reactions systems". 2012.
    10.1145/2330163.2330265
  58. Vanneschi, Leonardo; Mondini, M.; Bertoni, M.; Ronchi, A.; Stefano, M.. "GeNet: A graph-based genetic programming framework for the reverse engineering of gene regulatory networks". Trabalho apresentado em EvoBIO 2012, 2012.
    Publicado • 10.1007/978-3-642-29066-4_9
  59. Manzoni, L.; Castelli, M.; Vanneschi, Leonardo. "Evolutionary reaction systems". Trabalho apresentado em EvoBIO 2012, 2012.
    Publicado • 10.1007/978-3-642-29066-4_2
  60. Castelli, M.; Manzoni, L.; Vanneschi, L.. "The effect of selection from old populations in genetic algorithms". 2011.
    10.1145/2001858.2001948
  61. Vanneschi, L.; Castelli, M.; Manzoni, L.. "The K landscapes: A tunably difficult benchmark for genetic programming". 2011.
    10.1145/2001576.2001773
  62. Castelli, Mauro; Manzoni, L.; Vanneschi, Leonardo. "Multi objective genetic programming for feature construction in classification problems". Trabalho apresentado em LION 2011, 2011.
    Publicado • 10.1007/978-3-642-25566-3_39
  63. Castelli, M.; Manzoni, L.; Silva, S.; Vanneschi, Leonardo. "A quantitative study of learning and generalization in genetic programming". Trabalho apresentado em EvoBIO 2011, 2011.
    Publicado • 10.1007/978-3-642-20407-4_3
  64. Farinaccio, A.; Vanneschi, Leonardo; Provero, P.; Mauri, G.; Giacobini, M.. "A new evolutionary gene regulatory network reverse engineering tool". Trabalho apresentado em EvoBIO 2011, 2011.
    Publicado • 10.1007/978-3-642-20389-3_2
  65. Trujillo, L.; Silva, S.; Legrand, P.; Vanneschi, Leonardo. "An empirical study of functional complexity as an indicator of overfitting in genetic programming". Trabalho apresentado em EuroGP 2011, 2011.
    Publicado • 10.1007/978-3-642-20407-4_23
  66. Castelli, Mauro; Manzoni, Luca; Vanneschi, Leonardo. "A method to reuse old populations in genetic algorithms". Trabalho apresentado em EPIA 2011, 2011.
    Publicado • 10.1007/978-3-642-24769-9_11
  67. McDermott, J.; O'Reilly, U.-M.; Vanneschi, Leonardo; Veeramachaneni, K.. "How far is it from here to there? A distance that is coherent with GP operators". Trabalho apresentado em EuroGP 2011, 2011.
    Publicado • 10.1007/978-3-642-20407-4_17
  68. Vanneschi, Leonardo; Cuccu, G.. "Reconstructing dynamic target functions by means of genetic programming using variable population size". Trabalho apresentado em IJCCI 2009, 2011.
    Publicado • 10.1007/978-3-642-20206-3_8
  69. Farinaccio, A.; Vanneschi, Leonardo; Provero, P.; Mauri, G.; Giacobini, M.. "A study on gene regulatory network reconstruction and simulation". 2011.
    Publicado • 10.3233/978-1-60750-692-8-235
  70. Castelli, Mauro; Manzoni, Luca; Vanneschi, Leonardo. "Reinsertion of Old Genetic Material: Second Chance GP". Trabalho apresentado em Annual Portuguese Conference on Artificial Intelligence, EPIA, 2011, 2011.
    Publicado
  71. Leonardo Vanneschi. "Otimization speed and fair sets of functions". 2010.
  72. Castelli, M.; Manzoni, L.; Silva, S.; Vanneschi, L.. "A comparison of the generalization ability of different genetic programming frameworks". 2010.
    10.1109/CEC.2010.5585925
  73. Farinaccio, A.; Vanneschi, L.; Giacobini, M.; Mauri, G.; Provero, P.. "On the use of genetic programming for the prediction of survival in cancer". 2010.
    10.1145/1830483.1830514
  74. Vanneschi, L.; Castelli, M.; Silva, S.. "Measuring bloat, overfitting and functional complexity in genetic programming". 2010.
    10.1145/1830483.1830643
  75. Vanneschi, L.; Codecasa, D.; Mauri, G.. "A study of parallel and distributed particle Swarm optimization methods". 2010.
    10.1145/1809018.1809022
  76. Manzoni, L.; Vanneschi, L.; Mauri, G.. "Definition of a crossover based distance for genetic algorithms". 2010.
    10.1145/1830483.1830752
  77. Valsecchi, A.; Vanneschi, L.; Mauri, G.. "Optimization speed and fair sets of functions". 2010.
    10.1145/1830483.1830753
  78. Vanneschi, L.; Codecasa, D.; Mauri, G.. "An empirical comparison of parallel and distributed particle swarm optimization methods". 2010.
    10.1145/1830483.1830487
  79. Valsecchi, A.; Vanneschi, Leonardo; Mauri, G.. "A study on the automatic generation of asynchronous cellular automata rules by means of genetic algorithms". Trabalho apresentado em ACRI 2010, 2010.
    Publicado • 10.1007/978-3-642-15979-4_45
  80. Archetti, Francesco; Giordani, E. Messina; Vanneschi, Leonardo; Castelli, Mauro. "Genetic programming for feature extraction in supervised learning". Trabalho apresentado em EURO XXIV, 2010.
    Publicado
  81. Leonardo Vanneschi. "A study of particle swarm optimization for parameters estimation in biochemical systems". 2009.
  82. Leonardo Vanneschi. "Genetic programming for survival prediction in breast cancer". 2009.
  83. Silva, S.; Vanneschi, L.. "Operator equalisation, bloat and overfitting: A study on human oral bioavailability prediction". 2009.
    10.1145/1569901.1570051
  84. Vanneschi, L.; Cuccu, G.. "Variable size population for dynamic optimization with genetic programming". 2009.
    10.1145/1569901.1570222
  85. Vanneschi, L.; Gustafson, S.. "Using crossover based similarity measure to improve genetic programming generalization ability". 2009.
    10.1145/1569901.1570054
  86. Vanneschi, L.; Valsecchi, A.; Poli, R.. "Limitations of the fitness-proportional negative slope coefficient as a difficulty measure". 2009.
    10.1145/1569901.1570212
  87. Vanneschi, L.; Cuccu, G.. "A study of genetic programming variable population size for dynamic optimization problems". 2009.
  88. Bianco, S.; Schettini, R.; Vanneschi Disco, L.. "Empirical modeling for colorimetric characterization of digital cameras". 2009.
    10.1109/ICIP.2009.5413828
  89. Vanneschi, Leonardo; Silva, S.. "Using operator equalisation for prediction of drug toxicity with genetic programming". Trabalho apresentado em EPIA 2009, 2009.
    Publicado • 10.1007/978-3-642-04686-5_6
  90. Besozzi, D.; Cazzaniga, P.; Mauri, G.; Pescini, D.; Vanneschi, Leonardo. "A comparison of genetic algorithms and particle swarm optimization for parameter estimation in stochastic biochemical systems". Trabalho apresentado em EvoBIO 2009, 2009.
    Publicado • 10.1007/978-3-642-01184-9_11
  91. Vanneschi, Leonardo; Verel, S.; Tomassini, M.; Collard, P.. "NK landscapes difficulty and negative slope coefficient: How sampling influences the results". Trabalho apresentado em EvoWorkshops 2009, 2009.
    Publicado • 10.1007/978-3-642-01129-0_74
  92. Francesco Archetti; Ilaria Giordani; Vanneschi, Leonardo; Mauro Castelli. "Classification of colon tumor tissues using genetic programming". 2009.
    Publicado • 10.1142/9789814287456_0004
  93. AZZINI, ANTONIA; CAGNONI, STEFANO; Vanneschi, Leonardo. "FDC-BASED PARTICLE SWARM OPTIMIZATION". 2009.
    Publicado • 10.1142/9789814287456_0005
  94. Besozzi, Daniela; Cazzaniga, P.; Mauri, D. Pescini; Vanneschi, Leonardo. "A study of particle swarm optimization for parameters estimation in biochemical systems". 2009.
    Publicado
  95. Bianco, Simone; Schettini, Raimondo; Vanneschi, Leonardo. "Empirical modeling for colorimetric characterization of digital cameras". Trabalho apresentado em 2009 16th IEEE International Conference on Image Processing, 2009.
    Publicado • 10.1109/icip.2009.5413828
  96. Poli, R.; McPhee, N.F.; Vanneschi, L.. "The impact of population size on code growth in GP: Analysis and empirical validation". 2008.
  97. Poli, R.; McPhee, N.F.; Vanneschi, L.. "Elitism reduces bloat in genetic programming". 2008.
    10.1145/1389095.1389355
  98. Bandini, S.; Manzoni, S.; Mauri, G.; Redaelli, S.; Vanneschi, Leonardo. "GP generation of pedestrian behavioral rules in an evacuation model based on SCA". Trabalho apresentado em ACRI 2008, 2008.
    Publicado • 10.1007/978-3-540-79992-4_53
  99. Bianco, S.; Gasparini, F.; Schettini, R.; Vanneschi, Leonardo. "An evolutionary framework for colorimetric characterization of scanners". Trabalho apresentado em EvoWorkshops 2008, 2008.
    Publicado • 10.1007/978-3-540-78761-7_25
  100. Tomassini, M.; Vanneschi, Leonardo. "Negative Slope coefficient and the difficulty of random 3-SAT instances". Trabalho apresentado em EvoWorkshops 2008, 2008.
    Publicado • 10.1007/978-3-540-78761-7_70
  101. Valsecchi, A.; Vanneschi, Leonardo. "A study of some implications of the No Free Lunch Theorem". Trabalho apresentado em EvoWorkshops 2008, 2008.
    Publicado • 10.1007/978-3-540-78761-7_69
  102. Cagnoni, S.; Vanneschi, Leonardo; Azzini, A.; Tettamanzi, A.G.B.. "A critical assessment of some variants of particle swarm optimization". Trabalho apresentado em EvoWorkshops 2008, 2008.
    Publicado • 10.1007/978-3-540-78761-7_62
  103. Vanneschi, Leonardo; SORRENTI, DOMENICO GIORGIO; MARZORATI, DANIELE. "Calipso: Omnidirectional camera calibration based on particle swarm optimization". 2008.
    Publicado
  104. Vanneschi, Leonardo; MANZONI, SARA LUCIA; BANDINI, STEFANIA. "Evolving robust cellular automata rules with genetic programming". 2008.
    Publicado
  105. Poli, R.; Vanneschi, L.. "Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms". 2007.
    10.1145/1276958.1277209
  106. Vanneschi, L.; Rochat, D.; Tomassini, M.. "Multi-optimization improves genetic programming generalization ability". 2007.
    10.1145/1276958.1277309
  107. Vanneschi, L.; Tomassini, M.; Collard, P.; Vérel, S.; Pirola, Y.; Mauri, G.. "A comprehensive view of fitness landscapes with neutrality and fitness clouds". 2007.
    10.1007/978-3-540-71605-1_22
  108. Ebner, M.; O'Neill, M.; Ekárt, A.; Vanneschi, L.; Esparcia-Alcázar, A.I.; Bush, W.S.; Giacobini, M.. "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes: Preface". 2007.
  109. Vanneschi, L.; Verel, S.. "Fitness landscapes and problem hardness in evolutionary computation". 2007.
    10.1145/1274000.1274130
  110. Archetti, F.; Lanzeni, S.; Messina, E.; Vanneschi, Leonardo. "Genetic programming and other machine learning approaches to predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of drugs". Trabalho apresentado em EvoBIO 2007, 2007.
    Publicado • 10.1007/978-3-540-71783-6_2
  111. ARCHETTI, FRANCESCO ANTONIO; GIORDANI, ILARIA; Vanneschi, Leonardo. "Docking energy assessment by multi-criteria genetic programming". 2007.
    Publicado
  112. Giordani, I.; Vanneschi, Leonardo; Fersini, E.. "Modelling the relationship between the microarray data of the NCI-60 anticancer dataset with therapeutic responses by genetic programming". 2007.
    Publicado
  113. Vanneschi, L.; Tomassini, M.; Pirola, Y.; Verel, S.; Collard, P.; Mauri, G.. "A quantitative study of neutrality in GP boolean landscapes". 2006.
  114. Vanneschi, L.; Mauri, G.; Valsecchi, A.; Cagnoni, S.. "Heterogeneous cooperative coevolution: Strategies of integration between GP and GA". 2006.
  115. Archetti, F.; Lanzeni, S.; Messina, E.; Vanneschi, L.. "Genetic programming for human oral bioavailability of drugs". 2006.
    10.1145/1143997.1144042
  116. Bandini, S.; Manzoni, S.; Redaelli, S.; Vanneschi, Leonardo. "Automatic detection of go-based patterns in CA model of vegetable populations: Experiments on geta pattern recognition". Trabalho apresentado em ACRI 2006, 2006.
    Publicado • 10.1007/11861201_50
  117. Verel, S.; Collard, P.; Tomassini, M.; Vanneschi, Leonardo. "Neutral fitness landscape in the cellular automata majority problem". Trabalho apresentado em ACRI 2006, 2006.
    Publicado • 10.1007/11861201_31
  118. Bandini, S.; Manzoni, S.; Redaelli, S.; Vanneschi, Leonardo. "Emergent spatial patterns in vegetable population dynamics: Towards pattern detection and interpretation". Trabalho apresentado em ICCS 2006, 2006.
    Publicado • 10.1007/11758532_40
  119. Archetti, F.; Messina, E.; Toscani, D.; Vanneschi, Leonardo. "Classifying and counting vehicles in traffic control applications". Trabalho apresentado em EvoWorkshops 2006, 2006.
    Publicado • 10.1007/11732242_44
  120. Vanneschi, Leonardo; Gustafson, S.; Mauri, G.. "Using subtree crossover distance to investigate genetic programming dynamics". Trabalho apresentado em EuroGP 2006, 2006.
    Publicado • 10.1007/11729976_21
  121. Vanneschi, Leonardo; Tomassini, M.; Collard, P.; Vérel, S.. "Negative slope coefficient: A measure to characterize genetic programming fitness landscapes". Trabalho apresentado em EuroGP 2006, 2006.
    Publicado • 10.1007/11729976_16
  122. Cagnoni, S.; Rivero, D.; Vanneschi, L.. "A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution". 2005.
  123. Gustafson, S.; Vanneschi, L.. "Operator-based distance for genetic programming: Subtree crossover distance". 2005.
    10.1007/978-3-540-31989-4_16
  124. Rochat, D.; Tomassini, M.; Vanneschi, L.. "Dynamic size populations in distributed genetic programming". 2005.
    10.1007/978-3-540-31989-4_5
  125. Vanneschi, Leonardo; Tomassini, M.; Collard, P.; Clergue, M.. "A survey of problem difficulty in genetic programming". Trabalho apresentado em AI*IA 2005: Advances in Artificial Intelligence. AI*IA 2005, 2005.
    Publicado • 10.1007/11558590_7
  126. Cagnoni, S.; Rivero, D.; Vanneschi, Leonardo. "A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution". 2005.
    Publicado • 10.1109/cec.2005.1554821
  127. ARCHETTI, FRANCESCO ANTONIO; Vanneschi, Leonardo. "Resolving temporal sequences for traffic control applications with genetic algorithms". 2005.
    Publicado
  128. BANDINI, STEFANIA; Vanneschi, Leonardo; MOSCA, ALESSANDRO. "Towards the use of Genetic Algorithms for the Chemical Formulation Problem". 2005.
  129. Tomassini, M.; Vanneschi, L.; Cuendet, J.; Fernández, F.. "A new technique for dynamic size populations in genetic programming". 2004.
    10.1109/cec.2004.1330896
  130. Vanneschi, Leonardo; Clergue, M.; Collard, P.; Tomassini, M.; Vérel, S.. "Fitness clouds and problem hardness in genetic programming". Trabalho apresentado em GECCO 2004, 2004.
    Publicado • 10.1007/978-3-540-24855-2_76
  131. Tomassini, M.; Vanneschi, Leonardo; Fernández, F.; Galeano, G.. "A Study of Diversity in Multipopulation Genetic Programming". Trabalho apresentado em Artificial Evolution. EA 2003, 2003.
    Publicado • 10.1007/978-3-540-24621-3_20
  132. Vanneschi, L.; Tomassini, M.; Collard, P.; Clergue, M.. "Fitness distance correlation in genetic programming: A constructive counterexample". 2003.
    10.1109/CEC.2003.1299587
  133. Folino, G.; Pizzuti, C.; Spezzano, G.; Vanneschi, L.; Tomassini, M.. "Diversity analysis in cellular and multipopulation genetic programming". 2003.
    10.1109/CEC.2003.1299589
  134. Fernandez, F.; Tomassini, M.; Vanneschi, L.. "Saving computational effort in genetic programming by means of plagues". 2003.
    10.1109/CEC.2003.1299924
  135. Vanneschi, Leonardo; Tomassini, M.; Collard, P.; Clergue, M.. "Fitness distance correlation in structural mutation genetic programming". Trabalho apresentado em EuroGP 2003, 2003.
    Publicado • 10.1007/3-540-36599-0_43
  136. Tomassini, M.; Vanneschi, Leonardo; Fernández, F.; Galeano, G.. "A Study of Diversity in Multipopulation Genetic Programming". Trabalho apresentado em EA 2003, 2003.
    Publicado • 10.1007/3-540-45110-2_77
  137. Fernandez, F.; Vanneschi, Leonardo; Tomassini, M.. "The effect of plagues in genetic programming: A study of variable-size populations". Trabalho apresentado em EuroGP 2003, 2003.
    Publicado • 10.1007/3-540-36599-0_29
  138. Vanneschi, Leonardo; Tomassini, M.; Clergue, M.; Collard, P.. "Difficulty of unimodal and multimodal landscapes in genetic programming". Trabalho apresentado em GECCO 2003, 2003.
    Publicado • 10.1007/3-540-45110-2_70
  139. Vanneschi, Leonardo; Tomassini, M.. "Pros and Cons of Fitness Distance Correlation in Genetic Programming". 2003.
    Publicado
  140. Giacobini, M.; Tomassini, M.; Vanneschi, Leonardo. "Limiting the number of fitness cases in genetic programming using statistics". Trabalho apresentado em PPSN 2002, 2002.
    Publicado • 10.1007/3-540-45712-7_36
  141. Tomassini, M.; Vanneschi, Leonardo; Fernández, F.; Galeano, G.. "Experimental investigation of three distributed genetic programming models". Trabalho apresentado em PPSN 2002, 2002.
    Publicado • 10.1007/3-540-45712-7_62
  142. Clergue, M.; Collard, P.; Tomassini, M.; Vanneschi, Leonardo. "Fitness distance correlation and problem difficulty for genetic programming". 2002.
    Publicado
  143. Vanneschi, Leonardo; Tomassini, M.. "A Study on Fitness Distance Correlation and Problem Difficulty for Genetic Programming". 2002.
    Publicado
  144. Giacobini, Mario Dante Lucio; Tomassini, M.; Vanneschi, Leonardo. "How Statistics can Help in Limiting the Number of Fitness Cases in Genetic Programming". 2002.
    Publicado
  145. Galeano, G.; Femdndez, F.; Tomassini, M.; Vanneschi, Leonardo. "Studying the influence of synchronous and asynchronous parallel GP on programs length evolution". 2002.
    Publicado • 10.1109/cec.2002.1004503
  146. Fernández, Francisco; Tomassini, Marco; Vanneschi, Leonardo. "Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming". 2001.
    Publicado • 10.1007/3-540-45355-5_5
  147. Tomassini, M.; Vanneschi, Leonardo; Bucher, L.; Fernandez, F.. "An MPI-based tool for distributed genetic programming". 2000.
    Publicado • 10.1109/clustr.2000.889043
  148. Fernández, F.; Tomassini, M.; Vanneschi, Leonardo; Bucher, L.. "A Distributed Computing Environment for Genetic Programming Using MPI". Trabalho apresentado em EuroPVM/MPI 2000, 2000.
    Publicado • 10.1007/3-540-45255-9_44
Artigo em revista
  1. Illya Bakurov; José Manuel Muñoz Contreras; Mauro Castelli; Nuno Miguel Duarte Rodrigues; Sara Silva; Leonardo Trujillo; Leonardo Vanneschi. "Geometric Semantic Genetic Programming with Normalized and Standardized Random Programs". Genetic Programming And Evolvable Machines 25 (2024): 1-29. https://novaresearch.unl.pt/en/publications/d17ffdab-dc58-4c99-a5f7-f787b0d1fd7a.
    10.1007/s10710-024-09479-1
  2. Irene Azzali; Nicole D. Cilia; Claudio De Stefano; Francesco Fontanella; Mario Giacobini; Leonardo Vanneschi. "Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis". Swarm and Evolutionary Computation 87 June (2024): 1-11. https://novaresearch.unl.pt/en/publications/59ec6841-ae76-4c23-93b0-2a5885a23228.
    10.1016/j.swevo.2024.101571
  3. ProCAncer-I Consortium; Nuno Miguel Rodrigues; José Guilherme de Almeida; Ana Sofia Castro Verde; Ana Mascarenhas Gaivão; Carlos Bilreiro; Inês Santiago; et al. "Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data". Computers in Biology and Medicine 171 (2024): 1-22. https://novaresearch.unl.pt/en/publications/4ae0b688-7146-48de-b417-51cfbea1223b.
    10.1016/j.compbiomed.2024.108216
  4. Rodrigues, Nuno M.; Batista, João E.; Cava, William La; Vanneschi, Leonardo; Silva, Sara. "Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming". SN Computer Science 5 1 (2024): http://dx.doi.org/10.1007/s42979-023-02106-3.
    Publicado • 10.1007/s42979-023-02106-3
  5. Davide Farinati; Illya Bakurov; Leonardo Vanneschi. "A study of dynamic populations in geometric semantic genetic programming". Information Sciences (2023): https://doi.org/10.1016/j.ins.2023.119513.
    10.1016/j.ins.2023.119513
  6. Daniele M. Papetti; Andrea Tangherloni; Davide Farinati; Paolo Cazzaniga; Leonardo Vanneschi. "Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming". IEEE Computational Intelligence Magazine (2023): https://doi.org/10.1109/MCI.2022.3222096.
    10.1109/MCI.2022.3222096
  7. Illya Bakurov; Marco Buzzelli; Raimondo Schettini; Mauro Castelli; Leonardo Vanneschi. "Full-Reference Image Quality Expression via Genetic Programming". IEEE Transactions on Image Processing (2023): https://doi.org/10.1109/TIP.2023.3244662.
    10.1109/TIP.2023.3244662
  8. Bakurov, Illya; Buzzelli, Marco; Schettini, Raimondo; Castelli, Mauro; Vanneschi, Leonardo. "Semantic Segmentation Network Stacking with Genetic Programming". (2023): http://hdl.handle.net/10362/159556.
    https://doi.org/10.1007/s10710-023-09464-0
  9. Rodrigues, Nuno M.; Silva, Sara; Vanneschi, Leonardo; Papanikolaou, Nickolas. "A Comparative Study of Automated Deep Learning Segmentation Models for Prostate MRI". (2023): http://hdl.handle.net/10362/149851.
    https://doi.org/10.3390/cancers15051467
  10. Bakurov, Illya; Buzzelli, Marco; Schettini, Raimondo; Castelli, Mauro; Vanneschi, Leonardo. "Full-Reference Image Quality Expression via Genetic Programming". (2023): http://hdl.handle.net/10362/149941.
    https://doi.org/10.1109/TIP.2023.3244662
  11. Farinati, Davide; Bakurov, Illya; Vanneschi, Leonardo. "A Study of Dynamic Populations in Geometric Semantic Genetic Programming". (2023): http://hdl.handle.net/10362/156900.
    https://doi.org/10.1016/j.ins.2023.119513
  12. Rebuli, Karina Brotto; Ozella, Laura; Vanneschi, Leonardo; Giacobini, Mario. "Multi-Algorithm Clustering Analysis for Characterizing Cow Productivity on Automatic Milking Systems Over Lactation Periods". (2023): http://hdl.handle.net/10362/154356.
    https://doi.org/10.2139/ssrn.4435365
  13. Castelli, Mauro; Costa Pinto, Diego; Shuqair, Saleh; Montali, Davide; Vanneschi, Leonardo. "The Benefits of Automated Machine Learning in Hospitality: A Step-By-Step Guide and AutoML Tool". Emerging Science Journal 6 6 (2022): 1237-1254. http://dx.doi.org/10.28991/esj-2022-06-06-02.
    Publicado • 10.28991/esj-2022-06-06-02
  14. McDermott, James; Kronberger, Gabriel; Orzechowski, Patryk; Vanneschi, Leonardo; Manzoni, Luca; Kalkreuth, Roman; Castelli, Mauro. "Genetic programming benchmarks". ACM SIGEVOlution 15 3 (2022): 1-19. http://dx.doi.org/10.1145/3578482.3578483.
    10.1145/3578482.3578483
  15. Rodrigues, Nuno M.; Malan, Katherine M.; Ochoa, Gabriela; Vanneschi, Leonardo; Silva, Sara. "Fitness landscape analysis of convolutional neural network architectures for image classification". Information Sciences 609 (2022): 711-726. http://dx.doi.org/10.1016/j.ins.2022.07.040.
    10.1016/j.ins.2022.07.040
  16. Bakurov, I.; Castelli, M.; Fontanella, F.; Scotto di Freca, A.; Vanneschi, L.. "A novel binary classification approach based on geometric semantic genetic programming". Swarm and Evolutionary Computation 69 (2022): 101028. http://dx.doi.org/10.1016/j.swevo.2021.101028.
    Publicado • 10.1016/j.swevo.2021.101028
  17. Bakurov, Illya; Buzzelli, Marco; Schettini, Raimondo; Castelli, Mauro; Vanneschi, Leonardo. "Structural similarity index (SSIM) revisited: A data-driven approach". Expert Systems with Applications 189 (2022): 116087. http://dx.doi.org/10.1016/j.eswa.2021.116087.
    Publicado • 10.1016/j.eswa.2021.116087
  18. Abbona, Francesca; Vanneschi, Leonardo; Giacobini, Mario. "Towards a Vectorial Approach to Predict Beef Farm Performance". Applied Sciences 12 3 (2022): 1137. http://dx.doi.org/10.3390/app12031137.
    10.3390/app12031137
  19. Rebuli, Karina Brotto; Vanneschi, Leonardo. "An Empirical Study of Progressive Insular Cooperative GP". SN Computer Science 3 2 (2022): http://dx.doi.org/10.1007/s42979-021-00998-7.
    Publicado • 10.1007/s42979-021-00998-7
  20. Cruz, Paula; Vanneschi, Leonardo; Painho, Marco; Rita, Paulo. "Automatic Identification of Addresses: A Systematic Literature Review". ISPRS International Journal of Geo-Information 11 1 (2021): 11. http://dx.doi.org/10.3390/ijgi11010011.
    Publicado • 10.3390/ijgi11010011
  21. Eftychia Koukouraki; Leonardo Vanneschi; Marco Painho. "Few-Shot Learning for Post-Earthquake Urban Damage Detection". Remote Sensing (2021): https://doi.org/10.3390/rs14010040.
    10.3390/rs14010040
  22. Albuquerque, Carina; Vanneschi, Leonardo; Henriques, Roberto; Castelli, Mauro; Póvoa, Vanda; Fior, Rita; Papanikolaou, Nickolas. "Object detection for automatic cancer cell counting in zebrafish xenografts". PLOS ONE 16 11 (2021): e0260609. http://dx.doi.org/10.1371/journal.pone.0260609.
    Publicado • 10.1371/journal.pone.0260609
  23. Vanneschi, Leonardo; Castelli, Mauro. "Soft target and functional complexity reduction: A hybrid regularization method for genetic programming". Expert Systems with Applications 177 (2021): 114929. http://dx.doi.org/10.1016/j.eswa.2021.114929.
    10.1016/j.eswa.2021.114929
  24. Bakurov, Illya; Castelli, Mauro; Gau, Olivier; Fontanella, Francesco; Vanneschi, Leonardo. "Genetic programming for stacked generalization". Swarm and Evolutionary Computation 65 (2021): 100913. http://dx.doi.org/10.1016/j.swevo.2021.100913.
    Publicado • 10.1016/j.swevo.2021.100913
  25. Boto Ferreira, Mário; Costa Pinto, Diego; Maurer Herter, Márcia; Soro, Jerônimo; Vanneschi, Leonardo; Castelli, Mauro; Peres, Fernando. "Using artificial intelligence to overcome over-indebtedness and fight poverty". Journal of Business Research 131 (2021): 411-425. http://dx.doi.org/10.1016/j.jbusres.2020.10.035.
    Publicado • 10.1016/j.jbusres.2020.10.035
  26. Bakurov, Illya; Buzzelli, Marco; Castelli, Mauro; Vanneschi, Leonardo; Schettini, Raimondo. "General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python". Applied Sciences 11 11 (2021): 4774. http://dx.doi.org/10.3390/app11114774.
    Publicado • 10.3390/app11114774
  27. João E. Batista; Ana I. R. Cabral; Maria J. P. Vasconcelos; Leonardo Vanneschi; Sara Silva. "Improving Land Cover Classification Using Genetic Programming for Feature Construction". Remote Sensing 13 9 (2021): 1623-1623. https://doi.org/10.3390/rs13091623.
    10.3390/rs13091623
  28. Besozzi, Daniela; Manzoni, Luca; Nobile, Marco S.; Spolaor, Simone; Castelli, Mauro; Vanneschi, Leonardo; Cazzaniga, Paolo; et al. "Computational Intelligence for Life Sciences". Fundamenta Informaticae 171 1-4 (2020): 57-80. http://hdl.handle.net/10362/95133.
    https://doi.org/10.3233/FI-2020-1872
  29. Azzali, I.; Vanneschi, L.; Bakurov, I.; Silva, S.; Ivaldi, M.; Giacobini, M.; Azzali, Irene; et al. "Towards the use of vector based GP to predict physiological time series". Applied Soft Computing Journal 89 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85078271423&partnerID=MN8TOARS.
    10.1016/j.asoc.2020.106097
  30. Abbona, F.; Vanneschi, L.; Bona, M.; Giacobini, M.; Abbona, Francesca; Vanneschi, Leonardo; Bona, Marco; Giacobini, Mario. "Towards modelling beef cattle management with Genetic Programming". Livestock Science 241 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85089219447&partnerID=MN8TOARS.
    10.1016/j.livsci.2020.104205
  31. Castelli, M.; Dobreva, M.; Henriques, R.; Vanneschi, L.; Castelli, Mauro; Dobreva, Maria; Henriques, Roberto; Vanneschi, Leonardo. "Predicting Days on Market to Optimize Real Estate Sales Strategy". Complexity 2020 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85081153405&partnerID=MN8TOARS.
    10.1155/2020/4603190
  32. Castelli, M.; Clemente, F.M.; Popovic, A.; Silva, S.; Vanneschi, L.; Castelli, Mauro; Clemente, Fabiana Martins; et al. "A Machine Learning Approach to Predict Air Quality in California". Complexity 2020 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85089776250&partnerID=MN8TOARS.
    10.1155/2020/8049504
  33. da Silva, J.M.; Figueiredo, A.; Cunha, J.; Eiras-Dias, J.E.; Silva, S.; Vanneschi, L.; Mariano, P.; et al. "Using rapid chlorophyll fluorescence transients to classify vitis genotypes". Plants 9 2 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85079501209&partnerID=MN8TOARS.
    10.3390/plants9020174
  34. Rodrigues, N.M.; Silva, S.; Vanneschi, L.; Rodrigues, Nuno M.; Silva, Sara; Vanneschi, Leonardo. "A Study of Generalization and Fitness Landscapes for Neuroevolution". IEEE Access 8 (2020): 108216-108234. http://www.scopus.com/inward/record.url?eid=2-s2.0-85086997960&partnerID=MN8TOARS.
    10.1109/ACCESS.2020.3001505
  35. Azzali, I.; Vanneschi, L.; Mosca, A.; Bertolotti, L.; Giacobini, M.. "Towards the use of genetic programming in the ecological modelling of mosquito population dynamics". Genetic Programming and Evolvable Machines 21 4 (2020): 629-642. http://www.scopus.com/inward/record.url?eid=2-s2.0-85077568943&partnerID=MN8TOARS.
    10.1007/s10710-019-09374-0
  36. Raglio, A.; Imbriani, M.; Imbriani, C.; Baiardi, P.; Manzoni, S.; Gianotti, M.; Castelli, M.; et al. "Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial". Computer Methods and Programs in Biomedicine 185 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85074451949&partnerID=MN8TOARS.
    10.1016/j.cmpb.2019.105160
  37. La Cava, William; Silva, Sara; Danai, Kourosh; Spector, Lee; Vanneschi, Leonardo; Moore, Jason H.; La Cava, W.; et al. "Multidimensional genetic programming for multiclass classification". Swarm and Evolutionary Computation 44 (2019): 260-272. http://www.scopus.com/inward/record.url?scp=85046122786&partnerID=8YFLogxK.
    https://doi.org/10.1016/j.swevo.2018.03.015
  38. Moreira, J.M.; Santiago, I.; Santinha, J.; Figueiredo, N.; Marias, K.; Figueiredo, M.; Vanneschi, L.; Papanikolaou, N.. "Challenges and Promises of Radiomics for Rectal Cancer". Current Colorectal Cancer Reports 15 6 (2019): 175-180. http://www.scopus.com/inward/record.url?eid=2-s2.0-85075914957&partnerID=MN8TOARS.
    10.1007/s11888-019-00446-y
  39. Muñoz, L.; Trujillo, L.; Silva, S.; Castelli, M.; Vanneschi, L.. "Evolving multidimensional transformations for symbolic regression with M3GP". Memetic Computing 11 2 (2019): 111-126. http://www.scopus.com/inward/record.url?eid=2-s2.0-85053238236&partnerID=MN8TOARS.
    10.1007/s12293-018-0274-5
  40. Rubio-Largo, A.; Vanneschi, L.; Castelli, M.; Vega-Rodríguez, M.A.. "Multiobjective Metaheuristic to Design RNA Sequences". IEEE Transactions on Evolutionary Computation 23 1 (2019): 156-169. http://www.scopus.com/inward/record.url?eid=2-s2.0-85047975942&partnerID=MN8TOARS.
    10.1109/TEVC.2018.2844116
  41. Vanneschi, L.; Castelli, M.; Scott, K.; Trujillo, L.; Vanneschi, Leonardo; Castelli, Mauro; Scott, Kristen; Trujillo, Leonardo. "Alignment-based genetic programming for real life applications". Swarm and Evolutionary Computation 44 (2019): 840-851. http://www.scopus.com/inward/record.url?eid=2-s2.0-85054516429&partnerID=MN8TOARS.
    10.1016/j.swevo.2018.09.006
  42. Hajek, P.; Henriques, R.; Castelli, M.; Vanneschi, L.. "Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer". Computers and Operations Research 106 (2019): 179-190. http://www.scopus.com/inward/record.url?eid=2-s2.0-85041908079&partnerID=MN8TOARS.
    10.1016/j.cor.2018.02.001
  43. Ruberto, S.; Vanneschi, L.; Castelli, M.. "Genetic programming with semantic equivalence classes". Swarm and Evolutionary Computation 44 (2019): 453-469. http://www.scopus.com/inward/record.url?eid=2-s2.0-85048885945&partnerID=MN8TOARS.
    10.1016/j.swevo.2018.06.001
  44. Vanneschi, Leonardo; Castelli, Mauro; Scott, Kristen; Popovic, Aleš; Vanneschi, L.; Castelli, M.; Scott, K.; Popovic, A.. "Accurate High Performance Concrete Prediction with an Alignment-Based Genetic Programming System". International Journal of Concrete Structures and Materials 12 1 (2018): http://www.scopus.com/inward/record.url?scp=85057105555&partnerID=8YFLogxK.
    https://doi.org/10.1186/s40069-018-0300-5
  45. Vanneschi, Leonardo; Horn, David Micha; Castelli, Mauro; Popovic, Aleš; Vanneschi, L.; Horn, D.M.; Castelli, M.; Popovic, A.. "An artificial intelligence system for predicting customer default in e-commerce". Expert Systems with Applications 104 (2018): 1-21. http://www.scopus.com/inward/record.url?scp=85043999337&partnerID=8YFLogxK.
    https://doi.org/10.1016/j.eswa.2018.03.025
  46. Shrestha, Sanjeevan; Vanneschi, Leonardo; Shrestha, S.; Vanneschi, L.; Shrestra, Sanjeevan. "Improved fully convolutional network with conditional random fields for building extraction". Remote Sensing 10 7 (2018): http://www.scopus.com/inward/record.url?scp=85050459863&partnerID=8YFLogxK.
    https://doi.org/10.3390/rs10071135
  47. Rubio-Largo, Á.; Vanneschi, L.; Castelli, M.; Vega-Rodríguez, M.A.. "A characteristic-based framework for multiple sequence aligners". IEEE Transactions on Cybernetics 48 1 (2018): 41-51. http://www.scopus.com/inward/record.url?eid=2-s2.0-84994323892&partnerID=MN8TOARS.
    10.1109/TCYB.2016.2621129
  48. Silva, S.; Vanneschi, L.; Cabral, A.I.R.; Vasconcelos, M.J.. "A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting". Swarm and Evolutionary Computation 39 (2018): 323-338. http://www.scopus.com/inward/record.url?eid=2-s2.0-85035221183&partnerID=MN8TOARS.
    10.1016/j.swevo.2017.11.003
  49. Rubio-Largo, A.; Castelli, M.; Vanneschi, L.; Vega-Rodríguez, M.A.; Rubio-Largo, Álvaro; Castelli, Mauro; Vanneschi, Leonardo; Vega-Rodríguez, Miguel A.. "A Parallel Multiobjective Metaheuristic for Multiple Sequence Alignment". Journal of Computational Biology 25 9 (2018): 1009-1022. http://www.scopus.com/inward/record.url?eid=2-s2.0-85053186520&partnerID=MN8TOARS.
    10.1089/cmb.2018.0031
  50. Cabral, A.I.R.; Silva, S.; Silva, P.C.; Vanneschi, L.; Vasconcelos, M.J.. "Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees". ISPRS Journal of Photogrammetry and Remote Sensing 142 (2018): 94-105. http://www.scopus.com/inward/record.url?eid=2-s2.0-85047983235&partnerID=MN8TOARS.
    10.1016/j.isprsjprs.2018.05.007
  51. Rubio-Largo, Á.; Vanneschi, L.; Castelli, M.; Vega-Rodríguez, M.A.. "Swarm intelligence for optimizing the parameters of multiple sequence aligners". Swarm and Evolutionary Computation 42 (2018): 16-28. http://www.scopus.com/inward/record.url?eid=2-s2.0-85046159910&partnerID=MN8TOARS.
    10.1016/j.swevo.2018.04.003
  52. Rubio-Largo, Á.; Vanneschi, L.; Castelli, M.; Vega-Rodríguez, M.A.. "Multiobjective characteristic-based framework for very-large multiple sequence alignment". Applied Soft Computing Journal 69 (2018): 719-736. http://www.scopus.com/inward/record.url?eid=2-s2.0-85023618707&partnerID=MN8TOARS.
    10.1016/j.asoc.2017.06.022
  53. Castelli, M.; Vanneschi, L.; Trujillo, L.; Popovic, A.. "Stock index return forecasting: Semantics-based genetic programming with local search optimiser". International Journal of Bio-Inspired Computation 10 3 (2017): 159-171. http://www.scopus.com/inward/record.url?eid=2-s2.0-85030090233&partnerID=MN8TOARS.
    10.1504/IJBIC.2017.086699
  54. Vanneschi, L.; Castelli, M.; Re, A.. "Prediction of ships' position by analysing AIS data: An artificial intelligence approach". International Journal of Web Engineering and Technology 12 3 (2017): 253-274. http://www.scopus.com/inward/record.url?eid=2-s2.0-85037811662&partnerID=MN8TOARS.
    10.1504/IJWET.2017.088389
  55. Rubio-Largo, Á.; Vanneschi, L.; Castelli, M.; Vega-Rodríguez, M.A.. "Using biological knowledge for multiple sequence aligner decision making". Information Sciences 420 (2017): 278-298. http://www.scopus.com/inward/record.url?eid=2-s2.0-85028043379&partnerID=MN8TOARS.
    10.1016/j.ins.2017.08.069
  56. Vanneschi, L.; Henriques, R.; Castelli, M.. "Multi-objective genetic algorithm with variable neighbourhood search for the electoral redistricting problem". Swarm and Evolutionary Computation 36 (2017): 37-51. http://www.scopus.com/inward/record.url?eid=2-s2.0-85017524682&partnerID=MN8TOARS.
    10.1016/j.swevo.2017.04.003
  57. Rubio-Largo, A.; Vanneschi, L.; Castelli, M.; Vega-Rodríguez, M.A.. "Reducing Alignment Time Complexity of Ultra-Large Sets of Sequences". Journal of Computational Biology 24 11 (2017): 1144-1152. http://www.scopus.com/inward/record.url?eid=2-s2.0-85033382470&partnerID=MN8TOARS.
    10.1089/cmb.2017.0097
  58. Castelli, M.; Manzoni, L.; Vanneschi, L.; Popovic, A.; Castelli, Mauro; Manzoni, Luca; Vanneschi, Leonardo; Popovic, Ale¿. "An expert system for extracting knowledge from customers’ reviews: The case of Amazon.com, Inc.". Expert Systems with Applications 84 (2017): 117-126. http://www.scopus.com/inward/record.url?eid=2-s2.0-85019055201&partnerID=MN8TOARS.
    10.1016/j.eswa.2017.05.008
  59. Castelli, M.; Manzoni, L.; Silva, S.; Vanneschi, L.; Popovic, A.. "The influence of population size in geometric semantic GP". Swarm and Evolutionary Computation 32 (2017): 110-120. http://www.scopus.com/inward/record.url?eid=2-s2.0-84973549912&partnerID=MN8TOARS.
    10.1016/j.swevo.2016.05.004
  60. Castelli, M.; Vanneschi, L.; Popovic, A.; Castelli, Mauro; Vanneschi, Leonardo; Popovic, Ale¿. "Controlling individuals growth in semantic genetic programming through elitist replacement". Computational Intelligence and Neuroscience 2016 (2016): http://www.scopus.com/inward/record.url?eid=2-s2.0-84956955701&partnerID=MN8TOARS.
    10.1155/2016/8326760
  61. Castelli, M.; Trujillo, L.; Vanneschi, L.; Popovic, A.. "Prediction of relative position of CT slices using a computational intelligence system". Applied Soft Computing Journal 46 (2016): 537-542. http://www.scopus.com/inward/record.url?eid=2-s2.0-84951818569&partnerID=MN8TOARS.
    10.1016/j.asoc.2015.09.021
  62. Castelli, M.; Vanneschi, L.; Popovic, A.. "Parameter evaluation of geometric semantic genetic programming in pharmacokinetics". International Journal of Bio-Inspired Computation 8 1 (2016): 42-50. http://www.scopus.com/inward/record.url?eid=2-s2.0-84958694901&partnerID=MN8TOARS.
    10.1504/IJBIC.2016.074634
  63. Castelli, M.; Manzoni, L.; Vanneschi, L.; Silva, S.; Popovic, A.. "Self-tuning geometric semantic Genetic Programming". Genetic Programming and Evolvable Machines 17 1 (2016): 55-74. http://www.scopus.com/inward/record.url?eid=2-s2.0-84959103230&partnerID=MN8TOARS.
    10.1007/s10710-015-9251-7
  64. Castelli, M.; Vanneschi, L.; Manzoni, L.; Popovic, A.. "Semantic genetic programming for fast and accurate data knowledge discovery". Swarm and Evolutionary Computation 26 (2016): 1-7. http://www.scopus.com/inward/record.url?eid=2-s2.0-84959566827&partnerID=MN8TOARS.
    10.1016/j.swevo.2015.07.001
  65. Castelli, Mauro; Vanneschi, Leonardo; Popovic, Aleš. "Predicting burned areas of forest fires". (2015): http://www.scopus.com/inward/record.url?scp=84926339792&partnerID=8YFLogxK.
    https://doi.org/10.4996/fireecology.1101106
  66. Castelli, M.; Henriques, R.; Vanneschi, L.. "A geometric semantic genetic programming system for the electoral redistricting problem". Neurocomputing 154 (2015): 200-207. http://www.scopus.com/inward/record.url?eid=2-s2.0-84924981049&partnerID=MN8TOARS.
    10.1016/j.neucom.2014.12.003
  67. Castelli, M.; Vanneschi, L.; Popovic, A.. "Predicting burned areas of forest fires: An artificial intelligence approach". Fire Ecology 11 1 (2015): 106-118. http://www.scopus.com/inward/record.url?eid=2-s2.0-84926339792&partnerID=MN8TOARS.
    10.4996/fireecology.1101106
  68. Castelli, M.; Trujillo, L.; Vanneschi, L.; Castelli, Mauro; Trujillo, Leonardo; Vanneschi, Leonardo. "Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer". Computational Intelligence and Neuroscience 2015 (2015): http://www.scopus.com/inward/record.url?eid=2-s2.0-84935915289&partnerID=MN8TOARS.
    10.1155/2015/971908
  69. Castelli, M.; Trujillo, L.; Vanneschi, L.; Popovic, A.. "Prediction of energy performance of residential buildings: A genetic programming approach". Energy and Buildings 102 (2015): 67-74. http://www.scopus.com/inward/record.url?eid=2-s2.0-84930940486&partnerID=MN8TOARS.
    10.1016/j.enbuild.2015.05.013
  70. Castelli, M.; Silva, S.; Vanneschi, L.. "A C++ framework for geometric semantic genetic programming". Genetic Programming and Evolvable Machines 16 1 (2015): 73-81. http://www.scopus.com/inward/record.url?eid=2-s2.0-84924222444&partnerID=MN8TOARS.
    10.1007/s10710-014-9218-0
  71. Castelli, M.; Vanneschi, L.; De Felice, M.. "Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case". Energy Economics 47 (2015): 37-41. http://www.scopus.com/inward/record.url?eid=2-s2.0-84918536663&partnerID=MN8TOARS.
    10.1016/j.eneco.2014.10.009
  72. Valsecchi, A.; Vanneschi, L.; Mauri, G.. "A study of search algorithms' optimization speed". Journal of Combinatorial Optimization 27 2 (2014): 256-270. http://www.scopus.com/inward/record.url?eid=2-s2.0-84895059073&partnerID=MN8TOARS.
    10.1007/s10878-012-9514-7
  73. Castelli, M.; Vanneschi, L.; Silva, S.. "Erratum: "Semantic search based genetic programming and the effect of introns deletion"(IEEE Transactions on Cybernetics (2014) 44:1 (103-113))". IEEE Transactions on Cybernetics 44 4 (2014): 565-565. http://www.scopus.com/inward/record.url?eid=2-s2.0-84897110281&partnerID=MN8TOARS.
    10.1109/TCYB.2014.2303551
  74. Castelli, M.; Vanneschi, L.; Silva, S.. "Semantic search-based genetic programming and the effect of intron deletion". IEEE Transactions on Cybernetics 44 1 (2014): 103-113. http://www.scopus.com/inward/record.url?eid=2-s2.0-84891056709&partnerID=MN8TOARS.
    10.1109/TSMCC.2013.2247754
  75. Vanneschi, L.. "Improving genetic programming for the prediction of pharmacokinetic parameters". Memetic Computing 6 4 (2014): 255-262. http://www.scopus.com/inward/record.url?eid=2-s2.0-84925463232&partnerID=MN8TOARS.
    10.1007/s12293-014-0143-9
  76. Castelli, M.; Silva, S.; Manzoni, L.; Vanneschi, L.. "Geometric Selective Harmony Search". Information Sciences 279 (2014): 468-482. http://www.scopus.com/inward/record.url?eid=2-s2.0-84901851327&partnerID=MN8TOARS.
    10.1016/j.ins.2014.04.001
  77. Vanneschi, L.; Castelli, M.; Silva, S.. "A survey of semantic methods in genetic programming". Genetic Programming and Evolvable Machines 15 2 (2014): 195-214. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903179769&partnerID=MN8TOARS.
    10.1007/s10710-013-9210-0
  78. Castelli, M.; Vanneschi, L.; Silva, S.. "Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators". Expert Systems with Applications 41 10 (2014): 4608-4616. http://www.scopus.com/inward/record.url?eid=2-s2.0-84894875968&partnerID=MN8TOARS.
    10.1016/j.eswa.2014.01.018
  79. Castelli, M.; Vanneschi, L.. "Genetic algorithm with variable neighborhood search for the optimal allocation of goods in shop shelves". Operations Research Letters 42 5 (2014): 355-360. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903597371&partnerID=MN8TOARS.
    10.1016/j.orl.2014.06.002
  80. Vanneschi, Leonardo. "Prediction of high performance concrete strength using genetic programming with geometric semantic genetic operators". Expert Systems with Applications (2013):
    10.1016/j.eswa.2013.06.037
  81. Vanneschi, Leonardo. "Gene regulatory networks reconstruction from time series datasets using genetic programming: a comparison between tree-based and graph-based approaches". Genetic Programming and Evolvable Machines (2013):
    10.1007/s10710-013-9183-z
  82. Vanneschi, Leonardo. "A new genetic programming framework based on reaction systems". Genetic Programming and Evolvable Machines (2013):
    10.1007/s10710-013-9184-y
  83. Castelli, M.; Beretta, S.; Vanneschi, L.. "A hybrid genetic algorithm for the repetition free longest common subsequence problem". Operations Research Letters 41 6 (2013): 644-649. http://www.scopus.com/inward/record.url?eid=2-s2.0-84884601178&partnerID=MN8TOARS.
    10.1016/j.orl.2013.09.002
  84. Castelli, M.; Silva, S.; Vanneschi, L.; Cabral, A.; Vasconcelos, M.J.; Catarino, L.; Carreiras, J.M.B.. "Land cover/land use multiclass classification using GP with geometric semantic operators". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7835 LNCS (2013): 334-343. http://www.scopus.com/inward/record.url?eid=2-s2.0-84875660818&partnerID=MN8TOARS.
    10.1007/978-3-642-37192-9-34
  85. Silva, S.; Ingalalli, V.; Vinga, S.; Carreiras, J.M.B.; Melo, J.B.; Castelli, M.; Vanneschi, L.; Gonçalves, I.; Caldas, J.. "Prediction of forest aboveground biomass: An exercise on avoiding overfitting". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7835 LNCS (2013): 407-417. http://www.scopus.com/inward/record.url?eid=2-s2.0-84875664067&partnerID=MN8TOARS.
    10.1007/978-3-642-37192-9-41
  86. Silva, S.; Vanneschi, L.. "Bloat free Genetic Programming: Application to human oral bioavailability prediction". International Journal of Data Mining and Bioinformatics 6 6 (2012): 585-601. http://www.scopus.com/inward/record.url?eid=2-s2.0-84869851572&partnerID=MN8TOARS.
    10.1504/IJDMB.2012.050266
  87. Vanneschi, L.; Pirola, Y.; Mauri, G.; Tomassini, M.; Collard, P.; Verel, S.. "A study of the neutrality of Boolean function landscapes in genetic programming". Theoretical Computer Science 425 (2012): 34-57. http://www.scopus.com/inward/record.url?eid=2-s2.0-84857810170&partnerID=MN8TOARS.
    10.1016/j.tcs.2011.03.011
  88. Vanneschi, L.; Mauri, G.. "A study on learning robustness using asynchronous 1D cellular automata rules". Natural Computing 11 2 (2012): 289-302. http://www.scopus.com/inward/record.url?eid=2-s2.0-84863982027&partnerID=MN8TOARS.
    10.1007/s11047-012-9311-3
  89. Silva, S.; Dignum, S.; Vanneschi, L.. "Operator equalisation for bloat free genetic programming and a survey of bloat control methods". Genetic Programming and Evolvable Machines 13 2 (2012): 197-238. http://www.scopus.com/inward/record.url?eid=2-s2.0-84861095823&partnerID=MN8TOARS.
    10.1007/s10710-011-9150-5
  90. Manzoni, L.; Vanneschi, L.; Mauri, G.; Castelli, M.; Cattaneo, G.. "A distance between populations for one-point crossover in genetic algorithms". Theoretical Computer Science 429 (2012): 213-221. http://www.scopus.com/inward/record.url?eid=2-s2.0-84858341871&partnerID=MN8TOARS.
    10.1016/j.tcs.2011.12.041
  91. Vanneschi, L.; Farinaccio, A.; Mauri, G.; Antoniotti, M.; Provero, P.; Giacobini, M.. "A comparison of machine learning techniques for survival prediction in breast cancer". BioData Mining 4 1 (2011): http://www.scopus.com/inward/record.url?eid=2-s2.0-79955776386&partnerID=MN8TOARS.
    10.1186/1756-0381-4-12
  92. Vanneschi, L.; Codecasa, D.; Mauri, G.. "A comparative study of four parallel and distributed PSO methods". New Generation Computing 29 2 (2011): 129-161. http://www.scopus.com/inward/record.url?eid=2-s2.0-80051627598&partnerID=MN8TOARS.
    10.1007/s00354-010-0102-z
  93. Vanneschi, Leonardo; Mussi, Luca; Cagnoni, Stefano. "Hot topics in Evolutionary Computation". Intelligenza Artificiale 5 1 (2011): 5-17. http://dx.doi.org/10.3233/ia-2011-0001.
    10.3233/ia-2011-0001
  94. Tomassini, M.; Vanneschi, L.. "Guest editorial: Special issue on parallel and distributed evolutionary algorithms, part two". Genetic Programming and Evolvable Machines 11 2 (2010): 129-130. http://www.scopus.com/inward/record.url?eid=2-s2.0-77954817468&partnerID=MN8TOARS.
    10.1007/s10710-010-9106-1
  95. Vanneschi, L.; Castelli, M.; Bianco, S.; Schettini, R.. "Genetic algorithms for training data and polynomial optimization in colorimetric characterization of scanners". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6024 LNCS PART 1 (2010): 282-291. http://www.scopus.com/inward/record.url?eid=2-s2.0-77952416176&partnerID=MN8TOARS.
    10.1007/978-3-642-12239-2-29
  96. Vanneschi, L.; Farinaccio, A.; Giacobini, M.; Mauri, G.; Antoniotti, M.; Provero, P.. "Identification of individualized feature combinations for survival prediction in breast cancer: A comparison of machine learning techniques". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6023 LNCS (2010): 110-121. http://www.scopus.com/inward/record.url?eid=2-s2.0-77952302242&partnerID=MN8TOARS.
    10.1007/978-3-642-12211-8-10
  97. Archetti, F.; Giordani, I.; Vanneschi, L.. "Genetic programming for QSAR investigation of docking energy". Applied Soft Computing Journal 10 1 (2010): 170-182. http://www.scopus.com/inward/record.url?eid=2-s2.0-70350125156&partnerID=MN8TOARS.
    10.1016/j.asoc.2009.06.013
  98. Poli, R.; Vanneschi, L.; Langdon, W.B.; McPhee, N.F.. "Theoretical results in genetic programming: The next ten years?". Genetic Programming and Evolvable Machines 11 3-4 (2010): 285-320. http://www.scopus.com/inward/record.url?eid=2-s2.0-77955013838&partnerID=MN8TOARS.
    10.1007/s10710-010-9110-5
  99. O'Neill, M.; Vanneschi, L.; Gustafson, S.; Banzhaf, W.. "Open issues in Genetic Programming". Genetic Programming and Evolvable Machines 11 3-4 (2010): 339-363. http://www.scopus.com/inward/record.url?eid=2-s2.0-77954959061&partnerID=MN8TOARS.
    10.1007/s10710-010-9113-2
  100. Archetti, F.; Giordani, I.; Vanneschi, L.. "Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset". Computers and Operations Research 37 8 (2010): 1395-1405. http://www.scopus.com/inward/record.url?eid=2-s2.0-73449093194&partnerID=MN8TOARS.
    10.1016/j.cor.2009.02.015
  101. Cagnoni, S.; Vanneschi, L.. "Evolutionary Computation: A Brief Overview". Genetic and Evolutionary Computation: Medical Applications (2010): 3-15. http://www.scopus.com/inward/record.url?eid=2-s2.0-84886161348&partnerID=MN8TOARS.
    10.1002/9780470973134.ch2
  102. Vanneschi, Leonardo; Archetti, Francesco; Castelli, Mauro; Giordani, Ilaria. "Classification of Oncologic Data with Genetic Programming". Journal of Artificial Evolution and Applications 2009 (2009): 1-13. http://dx.doi.org/10.1155/2009/848532.
    10.1155/2009/848532
  103. Bandini, S.; Vanneschi, L.; Wuensche, A.; Shehata, A.B.. "Cellular automata pattern recognition and rule evolution through a neuro-genetic approach". Journal of Cellular Automata 4 3 (2009): 171-181. http://www.scopus.com/inward/record.url?eid=2-s2.0-77952555661&partnerID=MN8TOARS.
  104. Tomassini, M.; Vanneschi, L.. "Introduction: Special issue on parallel and distributed evolutionary algorithms, part I". Genetic Programming and Evolvable Machines 10 4 (2009): 339-341. http://www.scopus.com/inward/record.url?eid=2-s2.0-70449413737&partnerID=MN8TOARS.
    10.1007/s10710-009-9094-1
  105. Gustafson, S.; Vanneschi, L.. "Crossover-based tree distance in genetic programming". IEEE Transactions on Evolutionary Computation 12 4 (2008): 506-524. http://www.scopus.com/inward/record.url?eid=2-s2.0-49049098323&partnerID=MN8TOARS.
    10.1109/TEVC.2008.915993
  106. Bianco, S.; Gasparini, F.; Schettini, R.; Vanneschi, L.. "Polynomial modeling and optimization for colorimetric characterization of scanners". Journal of Electronic Imaging 17 4 (2008): http://www.scopus.com/inward/record.url?eid=2-s2.0-70350662490&partnerID=MN8TOARS.
    10.1117/1.2982004
  107. Bandini, S.; Vanneschi, L.; Wuensche, A.; Shehata, A.B.. "A neuro-genetic framework for pattern recognition in complex systems". Fundamenta Informaticae 87 2 (2008): 207-226. http://www.scopus.com/inward/record.url?eid=2-s2.0-58149508181&partnerID=MN8TOARS.
  108. Archetti, F.; Lanzeni, S.; Messina, E.; Vanneschi, L.. "Genetic programming for computational pharmacokinetics in drug discovery and development". Genetic Programming and Evolvable Machines 8 4 (2007): 413-432. http://www.scopus.com/inward/record.url?eid=2-s2.0-36148998343&partnerID=MN8TOARS.
    10.1007/s10710-007-9040-z
  109. Verel, S.; Collard, P.; Tomassini, M.; Vanneschi, L.. "Fitness landscape of the cellular automata majority problem: View from the "Olympus"". Theoretical Computer Science 378 1 (2007): 54-77. http://www.scopus.com/inward/record.url?eid=2-s2.0-34247860700&partnerID=MN8TOARS.
    10.1016/j.tcs.2007.01.001
  110. Tomassini, M.; Vanneschi, L.; Collard, P.; Clergue, M.. "A study of fitness distance correlation as a difficulty measure in genetic programming". Evolutionary Computation 13 2 (2005): 213-239. http://www.scopus.com/inward/record.url?eid=2-s2.0-21344438136&partnerID=MN8TOARS.
    10.1162/1063656054088549
  111. Fernández, F.; Tomassini, M.; Vanneschi, L.. "An empirical study of multipopulation genetic programming". Genetic Programming and Evolvable Machines 4 1 (2003): 21-51. http://www.scopus.com/inward/record.url?eid=2-s2.0-3543120586&partnerID=MN8TOARS.
    10.1023/A:1021873026259
Capítulo de livro
  1. Leonardo Vanneschi. "SLIM_GSGP: The Non-bloating Geometric Semantic Genetic Programming". 2024.
    10.1007/978-3-031-56957-9_8
  2. Karina Brotto Rebuli; Mario Giacobini; Niccolò Tallone; Leonardo Vanneschi; Brotto Rebuli, Karina; Giacobini, Mario; Tallone, Niccolò; Vanneschi, Leonardo. "Single and Multi-objective Genetic Programming Methods for Prediction Intervals". Springer, Cham, 2023.
    10.1007/978-3-031-31183-3_17
  3. Leonardo Vanneschi; Sara Silva. "Decision Tree Learning". 149-159. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_6
  4. Leonardo Vanneschi; Sara Silva. "Genetic Algorithms". 45-103. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_3
  5. Leonardo Vanneschi; Sara Silva. "Genetic Programming". 205-257. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_8
  6. Leonardo Vanneschi; Sara Silva. "Introduction to Machine Learning". 115-148. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_5
  7. Leonardo Vanneschi; Sara Silva. "Support Vector Machines". 271-281. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_10
  8. Leonardo Vanneschi; Sara Silva. "Unsupervised Learning". In Clustering Algorithms, 289-331. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_12
  9. Leonardo Vanneschi; Sara Silva. "Bayesian Learning". 259-270. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_9
  10. Leonardo Vanneschi; Sara Silva. "Artificial Neural Networks". 161-204. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_7
  11. Leonardo Vanneschi; Sara Silva. "Ensemble Methods". 283-288. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_11
  12. Leonardo Vanneschi; Sara Silva. "Particle Swarm Optimization". 105-111. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_4
  13. Leonardo Vanneschi; Sara Silva. "Optimization Problems and Local Search". 13-44. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_2
  14. Leonardo Vanneschi; Sara Silva. "Introduction". 1-9. Springer, Cham, 2023.
    10.1007/978-3-031-17922-8_1
  15. Nuno M. Rodrigues; João E. Batista; William La Cava; Leonardo Vanneschi; Sara Silva. "SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming". 68-84. Springer International Publishing, 2022.
    10.1007/978-3-031-02056-8_5
  16. Brotto Rebuli, Karina; Vanneschi, Leonardo. "Progressive Insular Cooperative GP". In Lecture Notes in Computer Science, 19-35. Springer International Publishing, 2021.
    10.1007/978-3-030-72812-0_2
  17. Castelli, M.; Vanneschi, L.; Largo, Á.R.. "Supervised learning: Classification". 342-349. 2018.
  18. Vanneschi, L.; Castelli, M.. "Multilayer perceptrons". 612-620. 2018.
  19. Leonardo Trujillo; Emigdio Z-Flores; Perla S. Juárez-Smith; Pierrick Legrand; Sara Silva; Mauro Castelli; Leonardo Vanneschi; Oliver Schütze; Luis Muñoz. "Local Search is Underused in Genetic Programming". editado por Riolo, {Rick, 119-137. Springer, 2018.
    10.1007/978-3-319-97088-2_8
  20. Silva, Sara; Muñoz, Luis; Trujillo, Leonardo; Ingalalli, Vijay; Castelli, Mauro; Vanneschi, Leonardo. "Multiclass Classification Through Multidimensional Clustering". In Genetic Programming Theory and Practice XIII, 219-239. Springer International Publishing, 2016.
    10.1007/978-3-319-34223-8_13
  21. Castelli, Mauro; Vanneschi, Leonardo; Silva, Sara; Ruberto, Stefano. "How to Exploit Alignment in the Error Space: Two Different GP Models". 133-148. 2015.
    10.1007/978-3-319-16030-6_8
  22. Giacobini, M.; Provero, P.; Vanneschi, L.; Mauri, G.. "Towards the use of genetic programming for the prediction of survival in cancer". 177-192. 2014.
  23. Vanneschi, L.; Poli, R.. "Genetic programming - introduction, applications, theory and open issues". 709-739. 2012.
  24. Vanneschi, Leonardo; Codecasa, D.; Mauri, G.. "An empirical study of parallel and distributed particle swarm optimization". In Parallel Architectures and Bioinspired Algorithms, 125-150. Springer, 2012.
    Publicado • 10.1007/978-3-642-28789-3_6
  25. Silva, Sara; Vanneschi, Leonardo. "The Importance of Being Flat–Studying the Program Length Distributions of Operator Equalisation". In Genetic Programming Theory and Practice IX, 211-233. Springer New York, 2011.
    10.1007/978-1-4614-1770-5_12
  26. Leonardo Vanneschi. "Reinsertion of old genetic material: Second chance GP". editado por L., {Antunes SP, 137-151. Springer, 2011.
  27. Silva, Sara; Vanneschi, Leonardo. "State-of-the-Art Genetic Programming for Predicting Human Oral Bioavailability of Drugs". editado por Rocha, M. P.; Riverola, F. F.; Shatkay, H.; Corchado, J. M., 165-173. 2010.
    10.1007/978-3-642-13214-8_22
  28. Cagnoni, Stefano; Vanneschi, Leonardo. "Evolutionary Computation: A Brief Overview". In Genetic and Evolutionary Computation: Medical Applications. Wiley, 2010.
    Publicado • 10.1002/9780470973134.ch2
  29. Francesco Archetti; Mauro Castelli; Ilaria Giordani; Leonardo Vanneschi. "Classification of Colon Tumor Tisuues using Genetic Programming". 49-58. 2010.
  30. Leonardo Vanneschi. "Genetic programming: Introduction, applications, theory and open issues". editado por Unknown Unknown, 24-24. Springer, 2009.
  31. Tomassini, M.; Vanneschi, L.. "Evolutionary algorithms in problem solving and machine learning". 124-137. 2008.
  32. Poli, Riccardo; McPhee, Nicholas F.; Vanneschi, Leonardo. "Analysis of the Effects of Elitism on Bloat in Linear and Tree-based Genetic Programming". In Genetic Programming Theory and Practice VI, 1-20. Springer US, 2008.
    10.1007/978-0-387-87623-8_7
  33. Vanneschi, Leonardo. "Investigating Problem Hardness of Real Life Applications". In Genetic and Evolutionary Computation Series, 107-124. Springer US, 2008.
    10.1007/978-0-387-76308-8_7
  34. Vanneschi, Leonardo. "Investigating Problem Hardness of Real Life Applications". In Genetic and Evolutionary Computation Series, 107-124. Springer US, 2008.
    Publicado • 10.1007/978-0-387-76308-8_7
  35. Fernández, F.; Spezzano, G.; Tomassini, M.; Vanneschi, L.. "Parallel Genetic Programming". 127-153. 2005.
Documento de trabalho
  1. Castelli, Mauro; Manzoni, Luca; Vanneschi, Leonardo. 2012. "An Efficient Genetic Programming System with Geometric Semantic Operators and its Application to Human Oral Bioavailability Prediction". https://doi.org/10.48550/arXiv.1208.2437.
    10.48550/arXiv.1208.2437
Edição de livro
  1. Vanneschi, Leonardo; Gustafson, S.; Moraglio, A.; De Falco, I.; Ebner, M.. Genetic Programming. 12th European Conference, EuroGP 2009 Tübingen, Germany, April, 15-17, 2009 Proceedings. Springer Berlin Heidelberg. 2009.
    Publicado • 10.1007/978-3-642-01181-8 • Editor
Entrada de enciclopédia
  1. Vanneschi, Leonardo; Castelli, Mauro. "Delta Rule and Backpropagation". In Encyclopedia of Bioinformatics and Computational Biology. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-809633-8.20340-3.
    10.1016/b978-0-12-809633-8.20340-3
Livro
  1. Vanneschi, Leonardo; Silva, Sara. Lectures on Intelligent Systems. Springer International Publishing. 2023.
    Publicado • 10.1007/978-3-031-17922-8
  2. Vanneschi, Leonardo. Machine Learning for Survival Prediction in Breast Cancer. Instituto Superior de Estatística e Gestão de Informação da Universidade Nova de Lisboa. NOVA Information Management School (NOVA IMS). 2021.
  3. Leonardo Vanneschi; Diego COSTA PINTO. Understanding Over-Indebtedness in Portugal. Instituto Superior de Estat{\'i. 2021.
  4. Vanneschi, L.; Gustafson, S.; Moraglio, A.; De Falco, I.; Ebner, M.. Preface. 2009.
Relatório
  1. Oliveira T.; Leonardo Vanneschi. 2024. MagIC. https://novaresearch.unl.pt/en/publications/e01c4a61-d569-4253-90dc-dac37e693e47.
    10.34619/modo-uykn
  2. Silva, Sara; Vanneschi, Leonardo; Dignum, S.. 2010. Bloat: Past, present, future. Technical report.
  3. MAURI, GIANCARLO; Vanneschi, Leonardo. 2007. Measures to characterize search in evolutionary algorithms. https://www.ibs.it/measures-to-characterize-search-in-libro-giancarlo-mauri-leopardo-vanneschi/e/9788889720769.
Tese / Dissertação
  1. "Leonardo Vanneschi. Theory and Practice for Efficient Genetic Programming". Doutoramento, Universite de Lausanne, 2004.
  2. "Leonardo Vanneschi. PROMPTER: an assistant for the generation of correct imperative programs based on Hoare's logic.". Mestrado, Università degli Studi di Pisa, 1996.

Outros

Outra produção
  1. Corrigendum to “Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data” [Comput. Biol. Med. 17 (2024) 108216]. 2024. ProCAncer-I Consortium; Nuno Miguel Rodrigues; José Guilherme de Almeida; Ana Sofia Castro Verde; Ana Mascarenhas Gaivão; Carlos Bilreiro; Inês Santiago; et al. https://novaresearch.unl.pt/en/publications/42dc0c86-6615-4b24-aa01-53d8d4cf2ef2.
    10.1016/j.compbiomed.2024.108352
  2. Introduction to the peer commentary special section on “Jaws 30” by W. B. Langdon. Vanneschi, L., & Trujillo, L. (2023). Introduction to the peer commentary special section on “Jaws 30” by W. B. Langdon. Genetic Programming And Evolvable Machines, 24(2 Special Issue on Highlights of Genetic Programming 2022 Events), 1-2. [18]. https://doi.org/10.1007/s10710-023-09466-y. In 1992, John R. Koza published his first book on Genetic Programming (GP): “Genetic Programming: On the Progr. 2023. Vanneschi, Leonardo; Trujillo, Leonardo. http://hdl.handle.net/10362/160724.
    https://doi.org/10.1007/s10710-023-09466-y
Software
  1. Castelli, Mauro; Vanneschi, Leonardo; Silva, Sara. "GSGP – A C++ Geometric Semantic Genetic Programming Library". 2013.
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2023 September 2023: Invited keynote Speaker at the Workshop on Genetic Programming of the AI in Finance and Industry Meeting, Zurich, Switzerland. AI in Finance and Industry
2023 April 2023: Invited keynote Speaker at the event AI Robotics in Healthcare: A challenge for law and tech?. Universidade Nova de Lisboa.
2023 January 2023: Invited keynote Speaker at the first Symposium on Philosophy and Artificial Intelligence - Imitate Life, Lisbon, Portugal.
2022 September 2022: Invited keynote Speaker at the International Workshop on Artificial Life and Evolutionary Computation, WIVACE 2022.
2022 September 2022: Invited Lecturer at the Species Summer School 2022.
2021 June 2021: Invited keynote Speaker at the Cancer Summit, Redefining Survival Expectations, organized by MSD, Lisbon.
2021 March 2021: Invited keynote Speaker at the XIII Minho Medical Meeting.
2021 December 2021: invited speaker in an event organized by the General Direction of Consumer of the Ministry of Economy (DGC) of Portugal, Lisbon.
2021 October 2021: Banco de Portugal, Lisbon.
2021 November 2018: invited speaker in the event of big diffusion "Today Data Science, and tomorrow?", organized by the association ALUMNI of the NOVA IMS.
2019 January 2019: Invited keynote Speaker in the Workshop “Intelligent Strategies for Computational Chemistry”, Chemistry Department of the University of Coimbra.
2019 Invited speaker at the event New Frontiers of Artificial Intelligence: Automatic Generation of Computer Programs using the Darwinian Theory of Evolution, organized by the Italian Embassy in Lisbon.
2017 June 2017: invited tutorial “Geometric Semantic Genetic Programmingand its Real-Life Applications” in the conference IEEE Congress on Evolutionary Computation, IEEE CEC.
2015 September 2015: Invited keynote Speaker in the Numerical and Evolutionary Computation Workshop, NEO 2015, Tijuana BC, Mexico.
2015 March 2015: Invited keynote Speaker no Big Data Forum, organized by IDG - International Data Group company. Universidade Nova de Lisboa.
2015 Invited Speaker in the International Conferences Genetic Programming Theory and Practice, University of Ann Arbor, Michigan, EUA, em 2007, 2011, 2012, 2013, 2014, 2015.
2014 December 2014: President of the Invited Panel in the international workshop Big Data Skills for Europe, organized by the European Commission, Bruxelles, Belgium.
2014 October 2014: Invited speaker in the event The IEEE Publication Process, organized by IEEE in the Universidade Nova de Lisboa.
2013 September 2013: Invited keynote Speaker in the VI International Workshop on Nature Inspired Cooperative Strategies for Optimization, NICSO 2013, Canterbury, UK.
2012 November 2012: Invited keynote Speaker in the Big Data Forum, organized by IDG - International Data Group company. Universidade Nova de Lisboa.
2011 March 2011: invited speaker in the event "Topologies in Computer Science", organized at the DISCo, University of Milano-Bicocca (Italy).
2010 • 2007, 2009 e 2010: invited tutorial in the international conference GECCO, ACM.

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2022 - Atual Artificial Intelligence for the automatic identification of addresses: The Portuguese Case
Orientador
 Gestão da Informação (Doutoramento)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2020 - Atual Machine Learning Application in Breast Cancer Detection
Orientador
 Gestão da Informação (Doutoramento)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2024 - 2024 Suitability Mapping of Solar Power Plants Using an Explainable AI-Based Approach
Orientador
 Tecnologias Geoespaciais (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023/09/01 - 2024 Dynamic Population applied to GSGP
Orientador
 Gestão da Informação (Doutoramento)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 - 2023 Using Machine Learning to Predict Mobility Improvement of Patients after Therapy: A Case Study on Rare Diseases
Coorientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 - 2023 Prediction of high-performance concrete compressive strength through a comparison of machine learning techniques
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 - 2023 A Genetic Programming Approach for Computer Vision: Classifying High-level Image Features from Convolutional Layers with an Evolutionary Algorithm
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 - 2023 Co-evolving hyper-parameters of TPOT with simulated annealing
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 - 2023 Evolving Decision Rules with Geometric Semantic Genetic Programming
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 - 2023 Cryptocurrency portfolio optimization using genetic algorithms
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 - 2023 Evolving Ensembles with TPOT
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 - 2023 Performance and Competitiveness of Tree-Based Pipeline Optimization Tool
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 - 2023 EasyML: An AutoML System using Meta Learning and Particle Swarm Optimization
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 - 2023 A Study of Geometric Semantic Genetic Programming with Linear Scaling
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2022 - 2022 Skills-based recommender system: a conceptual diagram and empirical validation
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2022 - 2022 Ensembled Geometric Semantic Genetic Programming: An ensemble-based initialization technique for Geometric Semantic Genetic Programming
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2022 - 2022 Industry 4.0: Multi-output regression for automatization of the USW machines welding validation process
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2022 - 2022 Improving Tree-based Pipeline Optimization Tool with Geometric Semantic Genetic Programming
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2022 - 2022 A study on variations of Genetic Programming applied to time series forecasting: Machine Learning for Energy Consumption Forecasting
Orientador
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2021 - 2021/01/13 A study of generalization in regression: proposal of a new metric and loss function to better understand and improve generability
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2021 - 2021 Layered genetic programming for feature extraction in classification problems
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2021 - 2021 Few-shot learning for post-earthquake urban damage detection
Orientador
 Tecnologias Geoespaciais (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2021 - 2021 Evolving Synthetic Data Generating Programs for Text Recognition Tasks - Evolving a Diverse Population of Synthetic Data Generators using Genetic Programming with Novelty Search for Robust Text Recognition Models
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2021 - 2021 Transmissibility Prediction: A Deep Learning Approach
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2021 - 2021 Can machine learning methods contribute as a decision support system in sequential oligometastatic radioablation therapy?
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2021 - 2021 Evolutionary Machine Learning in Radiomics: A Case Study on Breast Cancer
Orientador
 Engenharia Física (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2020 - 2020/11/30 Machine learning based optimization for database replication system
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020/10/28 Progressive insular cooperative genetic programming algorithm for multiclass classification
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020/07/29 Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-making
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020/07/01 How much data is enough to track tourists? The tradeoff between data granularity and storage costs
Orientador
 Gestão de Informação (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020/06/02 Enhanced web analytics for health insurance
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020/02/21 The use of genetic programming for detecting the incorrect predictions of classification models
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020/02/18 Ensemble learning with GSGP
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020/01/23 A sentiment analysis model to evaluate people’s opinion about artificial intelligence
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Soft computing for Ill Posed Problems in Computer Vision
Orientador
 Gestão da Informação (Doutoramento)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2019 - 2019/11/19 Customer clustering in the health insurance industry by means of unsupervised machine learning
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2019/07/23 Universal Genetic Programming: a Meta Learning Approach based on Semantics
Orientador
 Gestão da Informação (Doutoramento)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019/07/11 Predictive churn models in vehicle insurance
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019/06/11 A progressive learning method for classification of manufacturing errors based on machine data
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019/02/12 Identifying clients’ bad experiences with their internet service
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019/02/08 Convolutional neural networks for cell detection and counting : a case study of human cell quantification in zebrafish xenografts using deep learning object detection techniques
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019/02/06 Métodos analíticos avançados aplicados ao sector bancário em Portugal
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019/01/29 Landing on the right job : a machine learning approach to match candidates with jobs applying semantic embeddings
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Geometric semantic inspired mutation for M3GP
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2014 - 2019 Supervision of the postdoc of Alvaro Rubio-Largo. University of Extremadura, Spain and NOVA IMS. Duration of the postdoc scholarship: 2014-19. Scholarship financed by FCT (Fundação para a Ciência e a Tecnologia), Portugal.
Orientador
Universidade NOVA de Lisboa NOVA Information Management School, Portugal

Universidad de Extremadura, Espanha
2018 - 2018/12/20 Automated data analysis report and user segmentation clustering
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018/11/29 A proposal for generating gsgp-hard datasets : an introductory research towards gsgp hardness
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018/04/20 Algorithmic composer, an unconventional music classification system
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018/03/06 A multiple expression alignment framework for genetic programming
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018/02/27 Improved fully convolutional network with conditional random field for building extraction
Orientador
 Tecnologias Geoespaciais (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018/02/15 Personalized bank campaign using artificial neural networks
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018/02/02 An initialization technique for geometric semantic genetic programming based on demes evolution and despeciation : machine learning for rare diseases: a case study
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018/01/09 ANALYSIS OF THE USE OF REPULSORS TO IMPROVE GENERALIZATION ABILITY IN GENETIC PROGRAMMING, AN APPLICATION TO SYMBOLIC REGRESSION
Orientador
 Gestão de Informação (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2017 - 2017/11/02 A Multi-Population Hybrid Genetic Programming System
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2017 - 2017/10/27 ON THE USE OF SEMANTIC AWARENESS TO LIMIT OVERFITTING IN GENETIC PROGRAMMING
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2017 - 2017/10/25 SAS Institute Pre-Sales Department, Risk Area Internship Report
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2017 - 2017/07/21 RETAIL FORECASTING UNDER THE INFLUENCE OF PROMOTIONAL DISCOUNTS
Orientador
 Gestão de Informação (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2017 - 2017/05/30 CREDIT SCORING USING GENETIC PROGRAMMING
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2016 - 2016/11/13 Evaluating Wi-Fi Indoor Positioning Approaches in a real world environment
Orientador
 Métodos Analíticos Avançados (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2016 - 2016/03/01 Métodos de aprendizagem automática - um estudo baseado na avaliação e previsão de clientes bancários
Orientador
 Gestão de Informação (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2016 - 2016/02/26 Implementação de um modelo de Geometric Semantic Genetic Programming para aplicação Naval
Orientador
 Gestão de Informação (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2016 - 2016/02/05 Genetic Algorithm for shipping route estimation with long-range tracking data - automatic reconstruction of shipping routes based on historical ship positions for maritime safety applications
Orientador
 Gestão de Informação (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2015 - 2015/11/11 From user browsing behaviour to user demographics
Orientador
 Gestão de Informação (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2015 - 2015 Grade of membership (GoM) por algoritmos genéticos. Aplicação na segmentação do perfil de engajamento de discotetas no facebook
Orientador
 Gestão de Informação (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2014 - 2014/09/29 Programação genética - aplicada à previsão de parâmetros farmacocinéticos
Orientador
 Gestão de Informação (Mestrado)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2013 - 2013 Luca Manzoni, Dynamics of Bioinspired Computation University of Milano-Bicocca. PhD Thesis defended in February 2013
Orientador
Università degli Studi di Milano-Bicocca, Itália
2013 - 2013 Stefano Ruberto, Genetic Programming with Semantic Equivalence Classes. Gran Sasso Science Institute, Center of Advanced Studies of the National Institute of Nuclear Physics, L’Aquila, Italy. PhD Thesis defended in November 2013
Orientador
Gran Sasso Science Institute, Itália
2012 - 2012 Mauro Castelli, Measures and Methods for Robust Genetic Programming, University of Milano-Bicocca. PhD Thesis defended in February 2012
Orientador
Università degli Studi di Milano-Bicocca, Itália
2011 - 2011 Antonella Farinaccio, Computational Intelligence Approaches: from Time Series to Data Driven Gene Regulatory Network. University of Milano-Bicocca. PhD Thesis defended in February 2011.
Orientador
Università degli Studi di Milano-Bicocca, Itália
2004 - 2011 Besides the supervisions of Master thesis that are listed here (that are the Master thesis that I have supervised since 2011 i.e., since I work in Portugal), from 2004 to 2011 I have also supervised 32 Master thesis at the University of Milano-Bicocca (Italy)
Orientador

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação) 		Instituição / Organização
2023/07 - 2023/07 July 2023: Local Chair of GECCO 2023, ACM. Lisbon, Portugal. (2023/07 - 2023/07)
Conferência (Presidente da Comissão Organizadora)
2008 - 2008 April 2008: Local Co-organizer of the main European events on Evolutionary Computation, EvoStar 2008. Naples, Italy (2008 - 2008)
Conferência
2008 - 2008 September of 2008: Local Organizer of the Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2008. Venice (Italy) (2008 - 2008)
Conferência
2006 - 2008 President of the Program Committee of the International Workshop on Artificial Life and Evolutionary Computation, WIVACE 2006, 2007, 2008. (2006 - 2008)
2007 - 2007 Proceedings of the Second Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2007. CD publication. (2007)
2007 - 2007 September 2007: Local Organizer of the Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2007. Baia Samuele (Ragusa, Italy) (2007 - 2007)
2007 - 2007 September 2007: Local Organizer of the Italian Summer School in Artificial Life and Evolutionary Computing, SeCeVita 2007. Baia Samuele (Ragusa, Italy) (2007 - 2007)
Conferência
2006 - 2006 September 2006: Local organizer of the Italian Workshop on Artificial Life and Evolutionary Computing, WIVACE 2006. Siena (Italy) (2006 - 2006)
Conferência
2005 - 2005 April 2005: Local Co-organizer of the European Conference on Genetic Programming, EuroGP 2005. Lausanne (Switzerland) (2005 - 2005)
Conferência
2005 - 2005 September 2005: Local organizer of the Italian Day of Study on Evolutionary Computation, GSICE 2005. Milan (Italy). (2005 - 2005)
Conferência

Júri de grau académico

Tema
Tipo de participação 		Nome do candidato (Tipo de grau)
Instituição / Organização
2023 December 2023: Member of the jury of the PhD of Gloria Pietropolli, University of Trieste (Italy). Gloria Pietropolli (Doutoramento)
Università degli Studi di Trieste, Itália
2023 July 2023: Member of the jury of the PhD of Roney Camargo Malaguti, University of Coimbra (Portugal). Roney Camargo Malaguti (Doutoramento)
Universidade de Coimbra, Portugal
2023 June 2023: Member of the jury of the PhD of Qinglan Fan, Victoria University of Wellington (New Zealand). Qinglan Fan (Doutoramento)
Victoria University of Wellington, Nova Zelândia
2023 May 2023: Member of the jury of the PhD of Carina Albuquerque, NOVA IMS (Portugal). Carina Albuquerque (Doutoramento)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 October 2022: Member of the jury of the PhD of Mark Konnor, University College of Dublin (Ireland). Mark Konnor (Doutoramento)
2022 June 2022: Member of the jury of the PhD of Pedro Arteaga Guerra, NOVA IMS (Portugal). Pedro Guerra (Doutoramento)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2022 February 2022: Member of the jury of the PhD of Riccardo Gervasi, Politecnico of Torino (Italy). Riccardo Gervasi (Doutoramento)
Politecnico di Torino, Itália
2022 January 2022: Member of the jury of the PhD of Davide Maspero, University of Milano-Bicocca (Italy). Davide Maspero (Doutoramento)
Università degli Studi di Milano-Bicocca, Itália
2021 November 2021: Member of the jury of the PhD of Nguyen Thu Huoung, Univesity of Cote d¿Azur (France). Nguyen Thu Huoung (Doutoramento)
COMUE Université Côte d'Azur, França
2020 May 2020: Member of the jury of the PhD of Antonio Leitão, University of Coimbra (Portugal). Antonio Leitao (Doutoramento)
Universidade de Coimbra, Portugal
2019/01 January 2019: member of the PhD jury of Andrea Tangherloni, University of Milano-Bicocca (Italy). Andrea Tangherloni (Doutoramento)
Università degli Studi di Milano-Bicocca, Itália
2019 May 2019: Member of the jury of the PhD of Andrea Marcelli, Politecnico of Torino (Italy). Andrea Marcelli (Doutoramento)
Università degli Studi di Milano-Bicocca, Itália
2019 January 2019: Mamber of the jury of the PhD of Leonor Melo, University of Coimbra (Portugal). Leonor Melo (Doutoramento)
Universidade de Coimbra, Portugal
2018/09 September 2018: member of the jury of the PhD of Joao Nuno Goncalves Costa Cavaleiro Correia, University of Coimbra. Joao Nuno Goncalves Costa Cavaleiro Correia (Doutoramento)
Universidade de Coimbra, Portugal
2017/07 September 2017: member of the jury of the PhD of Mathieu Muniglia, Institut National des Sciences et Tecniques Nucleaires, Paris, France. Mathieu Muniglia (Doutoramento)
2016 June 2016: Member of the jury of the PhD of Andre Valerio Raposo Carreiro, Instituto Superior Tecnico, Lisbon (Portugal). Andre Valerio Raposo Carreiro (Doutoramento)
2014/02 February 2014: member of the jury of the PhD of Fernando Goulart da Silva, Faculty of Science, Department of Informatics, University of Lisbon. Fernando Goulart da Silva (Doutoramento)
Universidade de Lisboa, Portugal
2014 April 2014: member of the jury of the PhD of Fabio Daolio, University of Lausanne, Switzerland. Fabio Daolio (Doutoramento)
Universite de Lausanne, Suiça
2012/11 November 2012: member of the jury of the PhD of Miguel Monteiro de Sousa Frade, University of Extremadura (Spain). Miguel Monteiro de Sousa Frade (Doutoramento)
Universidad de Extremadura Facultad de Ciencias, Espanha
2012 March 2012: member of the jury of the PhD of Nuno A. M. Lourenco, University of Coimbra (Portugal). Nuno A. M. Lourenco (Doutoramento)
Universidade de Coimbra, Portugal
2010/09 September 2010: member of the jury of the PhD of Matthieu Weber, University of Jyväskylä (Finland). Matthieu Weber (Doutoramento)
2010/04 April 2010: member of the jury of the PhD of Alberto Castellini, University of Verona (Italy). Alberto Castellini (Doutoramento)
2008/04 April 2008: member of the jury of PhD of James McDermott, University of Limerick (Irland). James McDermott (Doutoramento)
University of Limerick, Irlanda

Arbitragem científica em conferência

Nome da conferência Local da conferência
2000/01/18 - Atual As a member of the Program Committee of the conferences EvoAPPs, EuroGP, GECCO, CEC, PPSN, EPIA, I reveive every year approximately 18 scientific articles (three per conference) to peer review.
2000 - Atual As a President of the Steering Committe of various conferences, I have managed the review process of the scientific articles submitted to those conferences. The job consisted in inviting the reviewers, collecting the reviews and taking the final decision on the articles to publish.

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2000/01/15 - Atual On average per year since 2000, I receive around 6 journal articles to peer review. The journals for which I review more frequently are EC, GPEM, IEEE TEC, ACM TELO, ASOC, SWEVO and CSWA. But I also receive with frequency papers to peer review from other international scientific journals. varias
2000 - Atual As an Associated Editor of the journals GPEM, EC and ACM TELO, every year I manage the review process of around 5 scientific articles. The job consists in inviting the reviewers, collecting the reviews and taking the final decision on the publication of the scientific article.

Comissão de avaliação

Descrição da atividade
Tipo de assessoria 		Instituição / Organização Entidade financiadora
2014/09/01 - Atual Diretor do Mestrado em Data Science and Advanced Analytics da NOVA IMS
2000/01/15 - Atual Preidente di júri e membro do júri de numerosas avaliações (concursos para attribuição de posição académica, agregação, teses de doutoramento, teses de mestrado)
2010 - 2022 • In 2010 and 2011, member of the juries for the selection of the scholarships of the project RetroNet. • From 2010 to 2012, member of the juries for the selection of the scholarships of the project EnviGP. • From 2012 to 2014, member of the juries for the selection of the scholarships of the project MassGP. • From 2018 to 2021, member of the juries for the selection of the scholarships of the project BINDER. • From 2019 to 2022, member of the juries for the selection of the scholarships of the project AICE.
2021 - 2021 April 2021: member of the jury for the assignment of one position of Assistant Professor at the University of Bergamo (Italy), Department of Human and Social Sciences. Announcement 649/2020 of 22/12/2020, published on Oficial Diary n. 99, 4th special series of 22/12/2020. Università degli Studi di Bergamo, Itália
2020 - 2020 September 2020: member of the jury for assignment of one position of researcher with PhD in the area of Science of Engineering and Technologies, Electrotechnical, Electronical and Informatic Engineering of the Faculty of Sciences and Technology of the University of Coimbra, Oficial Diary n. 11360/2020, 2nd series, n. 152 of August 6th. Universidade de Coimbra, Portugal
2020 - 2020 May 2020: member of the jury for the assignment of one position of Full Professor in Computational Methodologies, Faculty of Science, University of Lisbon, Oficial Diary 2nd series, of February 19th of 2020, Edital n. 258/2020. Universidade de Lisboa, Portugal
2020 - 2020 April 2020: member of the jury for the assignment of one position of Associate Professor in Computational Methodologies, Faculty of Science, University of Lisbon, Oficial Diary 2nd series, n 250, of December 30th of 2019, Edital n. 1639-R/2019. Universidade de Lisboa, Portugal
2013 - 2020 From 2013 to 2020, President of the Jury for the selection of the students of the Master in Data Science and Advanced Analytics of NOVA IMS. Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2019 - 2019 June 2019: one position of Assistant Professor in Informatic Engineering at the University of Coimbra (Edital n. 62/2019, Oficial Diary, 2nd series, n. 6, January 9th of 2019). Universidade de Coimbra, Portugal
2018 - 2018 October 2018: member of the jury for the assignment of one position of Assistant Professor in the area of Information Technology at NOVA IMS (Edital n. 462/2018, Oficial Diary, 2nd series, n. 90, May 10th of 2018). Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2018 - 2018 May 2018: member of the jury for the assignment of one position of Assistant Professor in Informatic Engineering at the Faculty of SCience and Technology of the University of Coimbra (Edital n. 870/2017, Oficial Diary, 2nd series, n. 211, November 2nd of 2017). Universidade de Coimbra, Portugal
2015 - 2015 June 2015: member of the jury for the assignment of one position of Assistant Professor in the area of Decision Support Systems, NOVA IMS (Edital n. 114/2015, Oficial Diary, 2nd series, n. 29, February 11th of 2015). Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2010 - 2010 In 2010, I was member of the jury of evaluation of the Graduated Student Workshop of the conference GECCO 2010.

Consultoria / Parecer

Descrição da atividade Instituição / Organização
2018 - Atual The BINDER project (FCT Financing, 02/SAICT/2017) has produced a software platform for automating and improving Radiomics in oncology, which is currently used by the Champalimaud Foundation.
2015 - 2021 As director of the Master in Data Science and Advanced Analytics from NOVA IMS, I have organized the final internships of students in several companies (SAS, Accenture, Occidental, Tranquilidade, Millennium BCP, BNP, etc.). This activity involves the organization of several projects of collaboration, each of which has a part of transfer of knowledge and/or technology to these companies.
2011 - 2018 One of the results of the MaSSGP project (FCT Financing, PTDC/EEI-CTP/2975/2012), of which I was the principal investigator, was the development of a software system currently used by Critical Software SA Lisbon.
2013 - 2013 My article [1], published in International Journal of Data Mining and Bioinformatics in 2012, was analyzed and commented by the magazine of scientific dissemination Science Daily. This comment was published online in 2013 (http://www.sciencedaily.com/releases/2012/11/121128093436.htm). [1] S. Silva and L. Vanneschi. Bloat free genetic programming: application to human oral bioavailability prediction. Int. J. Data Min. Bioinformatics, 6(6):585–601, Nov. 2012.
2005 - 2011 The company DELOS Srl from Bresso (Milan, Italy) has used for several years a software based on genetic programming for the synthesis and approximation of molecular Docking under my supervision.
2005 - 2011 The company Comerson Srl from Milan (Italy) has used a software based on Machine Learning for several years for vehicle recognition, monitoring and counting for traffic control developed under my supervision

Curso / Disciplina lecionado

Disciplina Curso (Tipo) Instituição / Organização
2023 - Atual Introduction to Computational Thinking, Bachelor, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2023 - Atual Research Methodologies, Master courses, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2021 - Atual Neural and Evolutionary Learning, Master in Data Science and Advanced Analytics, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2021 - Atual Research Seminar II, PhD course, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2020 - Atual Computational Methods for Optimization, Bachelor, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2020 - Atual Optimization Algorithms, Bachelor, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2020 - Atual Computational Intelligence for Optimization in Bioinformatics, Master in Bioinformatics and Computational Biology, University Nova of Lisbon Universidade NOVA de Lisboa, Portugal
2015 - Atual Computation I, Bachelor, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2015 - Atual Introduction to Programming, Bachelor, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2015 - Atual Computation II Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2015 - Atual Algorithms and Data Structires Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2015 - Atual Computational Intelligence for , Master in Data Science and Advanced Analytics, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2013 - 2021 Intelligent Systems, Bachelor, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2015 - 2020 Machine Learning, Master in Data Science and Advanced Analytics, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2011 - 2017 Decision Support System, Master in Information Management, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2011 - 2015 Computation III - Object Oriented Programming, Bachelor, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2011 - 2015 Project of Information Systems, Bachelor, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2012 - 2013 Man-Machine Interaction, Bachelor, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2011 - 2012 Data Mining, Bachelor, NOVA IMS Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2010 - 2011 Soft Computing for Security in Informatics, Master in Informatic Security, University of Pisa (Italy). Università degli Studi di Pisa, Itália
2005 - 2011 Soft Computing, Master in Computer Science, University of Milano-Bicocca (Italy) Università degli Studi di Milano-Bicocca, Itália
2005 - 2011 Programming, Bachelor in Computer Science, University of Milano-Bicocca (Italy) Università degli Studi di Milano-Bicocca, Itália
2005 - 2011 Algorithms, Bachelor in Computer Science, University of Milano-Bicocca (Italy) Università degli Studi di Milano-Bicocca, Itália
2005 - 2011 Foundaments of Informatics, Master in Biology, University of Milano-Bicocca (Italy) Università degli Studi di Milano-Bicocca, Itália
2005 - 2011 Complements of Informatics, Master in Biology, University of Milano-Bicocca Università degli Studi di Milano-Bicocca, Itália
2005 - 2011 Informatics for Earth Science, Bachelor in Geology, University of Milano-Bicocca (Italy) Università degli Studi di Milano-Bicocca, Itália
2005 - 2011 Theory and Application of Evolutionary Computation, PhD in Computer Science, University of Milano-Bicocca Università degli Studi di Milano-Bicocca, Itália
2005 - 2011 Operative Systems, Bachelor in Computer Science, University of Milano-Bicocca (Italy) Università degli Studi di Milano-Bicocca, Itália
2008 - 2008 Introduction to Genetic Programming and Fitness Landscapes Summer school SeCeVita, 2008.
2006 - 2008 Software Engineering, Bachelor in Computer Science, University of Milano-Bicocca (Italy) Università degli Studi di Milano-Bicocca, Itália
2004 - 2008 Teaching Assistant of Operative Systems, University of Lausanne and University of Geneva (Switzerland) Universite de Lausanne, Suiça

Université de Genève, Suiça
2004 - 2007 Teaching Assistant of Programming, University of Lausanne (Switzerland) Universite de Lausanne, Suiça
2004 - 2006 Algorithms, Master course in Information Management, University of Lausanne (Switzerland) Universite de Lausanne, Suiça
2004 - 2006 Teaching Assistant for the course of Algorithms, University of Lausanne (Switzerland) Universite de Lausanne, Suiça
2002 - 2004 Teaching Assistant for the course of Informatic I-II, University of Lausanne (Switzerland) Universite de Lausanne, Suiça
2001 - 2003 Introduction to Computer Science, University of Lausanne (Switzerland) Universite de Lausanne, Suiça
2000 - 2003 Teaching Assistant for the course of Informatic Systems I, University of Lausanne (Switzerland) Universite de Lausanne, Suiça
2000 - 2001 Teaching Assistant for the course of Informatic III-IV, University of Lausanne (Switzerland) Universite de Lausanne, Suiça
1999 - 2001 Teaching Assistant for the course of Formal Logic, University of Lausanne (Switzerland) Universite de Lausanne, Suiça
1998 - 1999 Programming in C and C++, course for the employees of various companies in the context of the Consorzio Genova-Formazione (Genova, Italy). Period: 1998-1999.

Entrevista (jornal / revista)

Descrição da atividade Jornal / Forum
2023/09/13 Cerca de 20 mil famílias sobre-endividadas já pediram ajuda à Deco este ano CNN Portugal
2023 In 2023, I was interviewed in the emission Office Hours, Ep. 1. https://www.youtube.com/watch?v=2n7XZ5OxEss. Office Hours
2023 In 2023, in the context of the AICE project, an article containing my interview was published in the Sapo online journal. https://www.sapo.pt/?utm_source=bsu&utm_medium=web& utm_campaign=bsu_logo&utm_content=eco.sapo.pt. Sapo
2021 In 2021, I was interviewed in the emission AI Portugal Podcast, Ep. 17. https://www.youtube.com/watch?v=73fpiI3PhP4. AI Portugal Podcast
2020 In 2020, in the context of the BINDER project, an article was published in the Público newspaper (Portugal) https://www.publico.pt/2020/01/20/ciencia/noticia/possivel-lesoes-cancro-alem-olho-humano-1900302. Público
2020 In 2020, in the context of the AICE project, an article containing my interview was published in the portal Notícias ao Minuto (Portugal). https://www.noticiasaominuto.com/economia/1526429/nove-em-cada-10-jovens-ate-30-anos-nao-tem-emprestimos-revela-estudo. Notícias ao Minuto
2020 In 2020, in the context of the AICE project, an article containing my interview was published in the Executive Digest. https://executivedigest.sapo.pt/noticias/90-dos-jovens-portugueses-ate-30-anos-nao-tem-creditos-bancarios/ Executive Digest
2020 In 2020 I was interviewed in the public emission 90 Segundos de Ciência. https://www.90segundosdeciencia.pt//episodes/ep-831-leonardo-vanneschi/ 90 Segundos de Ciência
2017 Interviewed by the newspaper L’Arno, a national Italian newspaper. The interview contains a detailed explanation of the importance of the study of Artificial Intelligence, oriented towards a large audience. The interview was published on June 26th, 2017. L'Arno (Italy)
2015 Interviewed by the newspaper Il Giornale, one of the most popular Italian newspapers. The interview contains a detailed explanation of the importance of the study of Artificial Intelligence, oriented towards a large audience. The interview was published on February 14th, 2015. Il Giornale (Italy)

Membro de associação

Nome da associação Tipo de participação
2019 - Atual Associated Editor of ACM Transactions on Evolutionary Learning and Optimization since 2019.
2019 - Atual Member of the Editorial Board of the scientific journal ACM Transactions on Evolutionary Learning and Optimization since 2019.
2009 - Atual Associated Editor of Genetic Programming and Evolvable Machines (Springer) since 2009.
2009 - Atual Member of the Editorial Board of the scientific journal Evolutionary Computation Journal (MIT Press) since 2009.
2009 - Atual Member of the Editorial Board of the scientific journal Genetic Programming and Evolvable Machines (Springer) since 2009.
2007 - Atual Founder and member of the research center Complex System and Artificial Intelligence (CSAI) at the University of Milano-Bicocca since June 2007.
2007 - 2010 Member of the Editorial Board of the scientific journal Journal of Artificial Evolution and Applications (Hindawi Publishing Corporation), from 2007 to 2010.

Membro de comissão

Descrição da atividade
Tipo de participação 		Instituição / Organização
2023/11 - Atual November 2023: Editor of the peer commentary special section on the article “Jaws 30” by W. B. Langdon, for the journal Genetic Programming and Evolvable Machines.
2023 - Atual Editor of the Proceedings of the Annual conference on Genetic and Evolutionary Computation, GECCO 2023, ACM Press.
2020/01 - Atual January of 2020: editor of the special issue Unconventional Methods for Particle Swarm Optimization of the journal Entropy (ISSN 1099-4300; CODEN: ENTRFG).
2020 - Atual Editor of the Proceedings of the Evo Applications 2020, Lecture Notes in Computer Science, Springer.
2015 - Atual Since 2015, member of the Institute Board of NOVA IMS, Universidade Nova de Lisboa. Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2013 - Atual Proceedings of the Annual conference on Genetic and Evolutionary Computation, GECCO 2013, ACM Press.
2013 - Atual Editor of the Proceedings of the European Conference on Evolutionary Computation, Machine Learning and Data Mining in Computational Biology, EvoBIO 2013, Lecture Notes in Computer Science, Springer.
2012 - Atual Editor of the Proceedings of the European Conference on Evolutionary Computation, Machine Learning and Data Mining in Computational Biology, EvoBIO 2012, Lecture Notes in Computer Science, Springer.
2011 - Atual Proceedings of the European Conference on Evolutionary Computation, Machine Learning and Data Mining in Computational Biology, EvoBIO 2011, Lecture Notes in Computer Science, Springer.
2011 - Atual Since 2011, member of the Scientific Board of NOVA IMS, Universidade Nova de Lisboa. Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2011 - Atual Since 2011, member of the Executive Board of the research center MagIC of the Universidade Nova de Lisboa.
2011 - Atual Since 2011, member of the Quality Committee of the Bachelor degrees in Information Management, Information Systems and Data Science of NOVA IMS. Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2010 - Atual Proceedings of the Annual conference on Genetic and Evolutionary Computation, GECCO 2010, ACM Press.
2010 - Atual Member of the Program Committee of the IEEE Congress on Evolutionary Computation, IEEE CEC, since 2010.
2010 - Atual Member of the Program Committee of the Workshop on Artificial Life and Evolutionary Algorithms, parte de EPIA, Portuguese Conference on Artificial Intelligence, ALEA@EPIA, since 2010.
2009/09 - Atual September of 2009: editor of the double special issue of the journal Genetic Programming and Evolvable Machines (Springer) Parallel and Distributed Evolutionary Algorithms (issues 10(4) of 2009 and 11(2) of 2010).
2009 - Atual Genetic Programming. Proceedings of the European Conference, EuroGP 2009, Lecture Notes in Computer Science, Springer.
2008 - Atual Editor of the Proceedings of the Third Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2008, World Scientific.
2008 - Atual Genetic Programming. Proceedings of the European Conference, EuroGP 2008, Lecture Notes in Computer Science, Springer.
2007 - Atual Editor of the Genetic Programming. Proceedings of the European Conference, EuroGP 2007, Lecture Notes in Computer Science, Springer.
2006 - Atual Editor of the Proceedings of the First Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2006. CD publication.
2006 - Atual Member of the Program Committee of the conference Evo Applications, since 2006.
2005 - Atual Editor of the Proceedings of the First Italian Day of Study on Evolutionary Computation, GSICE 2005. CD publication.
2005 - Atual Member of the Program Committee of the European Conference on Genetic Programming, EuroGP, since 2005.
2005 - Atual From 2005 to present, I have been member of the jusry of approximately 40 juries of Master thesis per year. Of approximately the 30% of these juries I was also the President of the jury.
2003 - Atual Member of the Program Committee of the Genetic and Evolutionary Computation Conference, GECCO, since 2003.
2011 - 2017 President of the Program Committee of the Workshop on Artificial Life and Evolutionary Algorithms, parte de EPIA, Portuguese Conference on Artificial Intelligence, ALEA@EPIA 2011, 2013, 2015, 2017.
2012 - 2014 From 2012 to 2014, member of the commission for the elaboration of the proposal of ABET abilitation da NOVA IMS. Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2011 - 2013 President of the Program Committee of the European Conference on Evolutionary Computation, Machine Learning and Data Mining in Computational Biology, EvoBIO 2011, 2012, 2013.
2011 - 2013 President of the Program Committee of the Conference on Genetic and Evolutionary Computation, GECCO 2010, 2013.
2006 - 2012 Supervisor of 12 Postdoc scholarships in the context of the projects RetroNet, DELOS and Development of an integrated system for 3D image processing.
2006 - 2011 Member of the Internship Committee of D.I.S.Co. at the University of Milano-Bicocca (Italy) from 2006 to 2011. This commission organizes and controls all internships (at the university and/or in companies or other organizations) of the Master Degrees. Università degli Studi di Milano-Bicocca, Itália
2004 - 2011 From 2004 to 2011, member of the Consiglio di Dipartimento of the Department of Informatics of the University of Milano-Bicocca. Università degli Studi di Milano-Bicocca, Itália
2004 - 2011 From 2004 to 2011, Member of the Faculty Board of the Faculty of Science of the University of Milano-Bicocca. Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2004 - 2011 From 2004 to 2011, member of the Consiglio di Coordinamento Didattico of the Department of Informatics of the University of Milano-Bicocca. Università degli Studi di Milano-Bicocca, Itália
2008 - 2009 President of the Program Committee of the European Conference on Genetic Programming, EuroGP 2008, 2009.
2006 - 2009 Member of the Timetable Committee, in charge of organizing the timetables and classrooms for all D.I.S.Co. classes, from 2006 to 2009. Università degli Studi di Milano-Bicocca, Itália
2005 - 2007 Member of the committee in charge of organizing the transfer of the IT Department to a new building at the Campus of the University of Milano-Bicocca (building U14, viale Sarca 336, Milan, Italy). This change took place in autumn 2007. Università degli Studi di Milano-Bicocca, Itália
2005 - 2005 President of the Program Committee of the First Italian Day of Study on Evolutionary Computation, GSICE 2005.
2001 - 2003 Manager of the computing network server at the Institute of Informatics of the Faculty of Science at the University of Lausanne (Switzerland) from 2001 to 2003. Universite de Lausanne, Suiça
1993 - 1995 Student representative at the Science Faculty Board at the University of Pisa (Italy), from 1993 to 1995. Università degli Studi di Pisa, Itália
Distinções

Prémio

2020 World Top 2% Researcher according to Stanford University
Stanford University - Redwood City Campus, Estados Unidos
2015 Award for Outstanding Contributions in Evolutionary Computation
SPECIES, França
2014 Best Paper Award - EuroGP 2014
EuroGP, França
2013 Best Paper Award - EuroGP 2013
2011 Best Paper Award - EvoBIO 2011
EvoBIO, França
2009 Best Paper Award - ICEC 2009
ICEC 2009, França
2007 Best Paper Award - GECCO 2007
GECCO, Estados Unidos
2006 Best Paper Award - GECCO 2006
GECCO, Estados Unidos
2006 Best Paper Award - EuroGP 2006
EuroGP, França
2005 Best Paper Award - EuroGP 2005
EuroGP, França
2005 Best PhD Thesis Award
Universite de Lausanne, Suiça
2002 Best Paper Award - PPSN 2002
PPSN, França
2002 Best PhD Student Paper Award - GECCO 2002
GECCO, Estados Unidos

Título

2023 Director of the Research Center in Information Management (MagIC) of NOVA IMS
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2019 Director of the Nova Analytics Lab, NOVA IMS
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2019 Cofounder and member of the Executive Board of the Species Society
2016 Agregação em Gestão Informação, na especialidade de Sistemas de Informação e Decisão
Universidade Nova de Lisboa, Portugal
2016 Director of the Master in Data Science and Advanced Analytics
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2015 Responsible of the Data Science research stream of the MagIC research center
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2015 Coordinator of the Erasmus Programme of NOVA IMS
Universidade NOVA de Lisboa NOVA Information Management School, Portugal