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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 200 contributions and he has led several research projects in the area. His work has been consistently recognized and appreciated by the international community from 2000 to nowadays. 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.
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Identification

Personal identification

Full name
Leonardo Vanneschi

Citation names

  • Vanneschi, Leonardo

Author identifiers

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

Knowledge fields

  • Exact Sciences - Computer and Information Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
French Advanced (C1) Advanced (C1) Intermediate (B1) Advanced (C1)
Italian Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Portuguese Advanced (C1) Advanced (C1) Intermediate (B1) Advanced (C1)
Education
Degree Classification
2017/05/30
Concluded
 Métodos Analíticos Avançados (Mestrado)
Major in Sem especialização
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
"CREDIT SCORING USING GENETIC PROGRAMMING" (THESIS/DISSERTATION)
 18 valores
2012
Concluded
 Informatique (Doutoramento)
Universite de Lausanne, Switzerland
"Theory and Practice for Efficient Genetic Programming" (THESIS/DISSERTATION)
2000/01/07 - 2004/09/01
Concluded
 Institut d'Informatique (Doctor of Philosophy)
Major in Artificial Intelligence
Universite de Lausanne, Switzerland
 Summa cum Laude
1990/09/01 - 1996/02/02
Concluded
 Informatica (Laurea)
Major in Computer Science
Università degli Studi di Pisa, Italy
 Summa cum Laude
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2011/09/01 - Current Full Professor (University Teacher) Universidade Nova de Lisboa, Portugal
Universidade Nova de Lisboa, Portugal
2016 - 2018 Associate Professor (University Teacher) Universidade Nova de Lisboa, Portugal
2016 - 2018 Associate Professor (University Teacher) Universidade Nova de Lisboa, Portugal
2016 - 2018 Associate Professor (University Teacher) Universidade Nova de Lisboa, Portugal
2014 - 2016 Associate Professor (University Teacher) Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2014 - 2016 Associate Professor (University Teacher) Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2014 - 2016 Associate Professor (University Teacher) Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2013 - 2014 Assistant Professor (University Teacher) Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2013 - 2014 Assistant Professor (University Teacher) Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2013 - 2014 Assistant Professor (University Teacher) Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal

Positions / Appointments

Category
Host institution 		Employer
2016 - 2018 Conselho científico/técnico-científico ou orgão correspondente Universidade Nova de Lisboa, Portugal
2016 - 2018 Conselho geral ou orgão correspondente Universidade Nova de Lisboa, Portugal
2016 - 2018 Coordenação ou direção de centro de investigação, departamento ou equivalente Universidade Nova de Lisboa, Portugal
2016 - 2018 Conselho científico/técnico-científico ou orgão correspondente Universidade Nova de Lisboa, Portugal
2016 - 2018 Conselho geral ou orgão correspondente Universidade Nova de Lisboa, Portugal
2016 - 2018 Coordenação ou direção de centro de investigação, departamento ou equivalente Universidade Nova de Lisboa, Portugal
2016 - 2018 Conselho científico/técnico-científico ou orgão correspondente Universidade Nova de Lisboa, Portugal
2016 - 2018 Conselho geral ou orgão correspondente Universidade Nova de Lisboa, Portugal
2016 - 2018 Coordenação ou direção de centro de investigação, departamento ou equivalente Universidade Nova de Lisboa, Portugal
2015 - 2016 Conselho geral ou orgão correspondente Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2015 - 2016 Conselho geral ou orgão correspondente Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2015 - 2016 Conselho geral ou orgão correspondente Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2013 - 2016 Conselho científico/técnico-científico ou orgão correspondente Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2013 - 2016 Conselho científico/técnico-científico ou orgão correspondente Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2013 - 2016 Conselho científico/técnico-científico ou orgão correspondente Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
Projects

Contract

Designation Funders
2020/01/01 - 2022/12/31 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
Universidade Nova de Lisboa, Portugal

Universidade de Lisboa Faculdade de Psicologia, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2018/01/01 - 2022/12 AICE
info:eu-repo/grantAgreement/NIH/NATIONAL INSTITUTE ON AGING/5R36AG057949-02/US
 National Institutes of Health
2018/10/01 - 2022/07/31 Melhorando a Aprendizagem Profunda Bio-Inspirada para a Radiómica
PTDC/CCI-INF/29168/2017
Universidade Nova de Lisboa, Portugal

Fundação Champalimaud, Portugal

Universidade de Coimbra, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2019/01/10 - 2022/07/09 Deteção de padrões de adição em jogo online<br>
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
Ongoing
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
Ongoing
2019/01/01 - 2021/01/01 BINDER
PTDC/CCI-INF/29168/2017
Principal investigator
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
Concluded
2013/04/01 - 2015/09/30 Melhorando a Programação Genética Semântica para a Segurança Marítima, a Salvaguarda da Vida Humana e a Protecção Ambiental
PTDC/EEI-CTP/2975/2012
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal

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
Concluded
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
Concluded
Outputs

Publications

Book
  1. 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.
  2. Azzali, I.; Vanneschi, L.; Giacobini, M.. Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming. 2020.
    10.1007/978-3-030-44094-7_4
  3. Carrasquinha, E.; Santinha, J.; Mongolin, A.; Lisitskiya, M.; Ribeiro, J.; Cardoso, F.; Matos, C.; Vanneschi, L.; Papanikolaou, N.. Regularization techniques in radiomics: A case study on the prediction of pCR in breast tumours and the axilla. 2020.
    10.1007/978-3-030-63061-4_24
  4. Vanneschi, L.; Castelli, M.; Manzoni, L.; Silva, S.; Trujillo, L.. Is k Nearest Neighbours Regression Better Than GP?. 2020.
    10.1007/978-3-030-44094-7_16
  5. Azzali, I.; Vanneschi, L.; Silva, S.; Bakurov, I.; Giacobini, M.. A Vectorial Approach to Genetic Programming. 2019.
    10.1007/978-3-030-16670-0_14
  6. Bartashevich, P.; Bakurov, I.; Mostaghim, S.; Vanneschi, L.. PSO-based search rules for aerial swarms against unexplored vector fields via genetic programming. 2018.
    10.1007/978-3-319-99253-2_4
  7. Castelli, M.; Gonçalves, I.; Manzoni, L.; Vanneschi, L.. Pruning techniques for mixed ensembles of genetic programming models. 2018.
    10.1007/978-3-319-77553-1_4
  8. Bakurov, I.; Vanneschi, L.; Castelli, M.; Fontanella, F.. EDDA-V2 – an improvement of the evolutionary demes despeciation algorithm. 2018.
    10.1007/978-3-319-99253-2_15
  9. Vanneschi, L.; Scott, K.; Castelli, M.; Scott, Kristen Marie. A multiple expression alignment framework for genetic programming. 2018.
    10.1007/978-3-319-77553-1_11
  10. Vanneschi, L.. An introduction to geometric semantic genetic programming. 2017.
    10.1007/978-3-319-44003-3_1
  11. La Cava, W.; Silva, S.; Vanneschi, L.; Spector, L.; Moore, J.. Genetic programming representations for multi-dimensional feature learning in biomedical classification. 2017.
    10.1007/978-3-319-55849-3_11
  12. Re, A.; Castelli, M.; Vanneschi, L.. A comparison between representations for evolving images. 2016.
    10.1007/978-3-319-31008-4_12
  13. Vanneschi, L.; Castelli, M.; Costa, E.; Re, A.; Vaz, H.; Lobo, V.; Urbano, P.. Improving maritime awareness with semantic genetic programming and linear scaling: Prediction of vessels position based on AIS data. 2015.
    10.1007/978-3-319-16549-3_59
  14. Castelli, M.; De Felice, M.; Manzoni, L.; Vanneschi, L.. Electricity demand modelling with genetic programming. 2015.
    10.1007/978-3-319-23485-4_22
  15. Ingalalli, V.; Silva, S.; Castelli, M.; Vanneschi, L.. A multi-dimensional genetic programming approach for multi-class classification problems. 2014.
    10.1007/978-3-662-44303-3_5
  16. Ruberto, S.; Vanneschi, L.; Castelli, M.; Silva, S.. ESAGP – A semantic GP framework based on alignment in the error space. 2014.
    10.1007/978-3-662-44303-3_13
  17. Vanneschi, L.; Castelli, M.; Manzoni, L.; Silva, S.. A new implementation of geometric semantic GP and its application to problems in pharmacokinetics. 2013.
    10.1007/978-3-642-37207-0_18
  18. Vanneschi, L.; Bush, W.S.; Giacobini, M.. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. 2013.
  19. Vanneschi, L.; Mondini, M.; Bertoni, M.; Ronchi, A.; Stefano, M.. GeNet: A graph-based genetic programming framework for the reverse engineering of gene regulatory networks. 2012.
    10.1007/978-3-642-29066-4_9
  20. Manzoni, L.; Castelli, M.; Vanneschi, L.. Evolutionary reaction systems. 2012.
    10.1007/978-3-642-29066-4_2
  21. Vanneschi, L.; Codecasa, D.; Mauri, G.. An empirical study of parallel and distributed particle swarm optimization. 2012.
    10.1007/978-3-642-28789-3_6
  22. Castelli, M.; Manzoni, L.; Vanneschi, L.. Multi objective genetic programming for feature construction in classification problems. 2011.
    10.1007/978-3-642-25566-3_39
  23. Castelli, M.; Manzoni, L.; Silva, S.; Vanneschi, L.. A quantitative study of learning and generalization in genetic programming. 2011.
    10.1007/978-3-642-20407-4_3
  24. Farinaccio, A.; Vanneschi, L.; Provero, P.; Mauri, G.; Giacobini, M.. A new evolutionary gene regulatory network reverse engineering tool. 2011.
    10.1007/978-3-642-20389-3_2
  25. Trujillo, L.; Silva, S.; Legrand, P.; Vanneschi, L.. An empirical study of functional complexity as an indicator of overfitting in genetic programming. 2011.
    10.1007/978-3-642-20407-4_23
  26. Castelli, M.; Manzoni, L.; Vanneschi, L.. A method to reuse old populations in genetic algorithms. 2011.
    10.1007/978-3-642-24769-9_11
  27. McDermott, J.; O'Reilly, U.-M.; Vanneschi, L.; Veeramachaneni, K.. How far is it from here to there? A distance that is coherent with GP operators. 2011.
    10.1007/978-3-642-20407-4_17
  28. Vanneschi, L.; Cuccu, G.. Reconstructing dynamic target functions by means of genetic programming using variable population size. 2011.
    10.1007/978-3-642-20206-3_8
  29. Farinaccio, A.; Vanneschi, L.; Provero, P.; Mauri, G.; Giacobini, M.. A study on gene regulatory network reconstruction and simulation. 2011.
    10.3233/978-1-60750-692-8-235
  30. Valsecchi, A.; Vanneschi, L.; Mauri, G.. A study on the automatic generation of asynchronous cellular automata rules by means of genetic algorithms. 2010.
    10.1007/978-3-642-15979-4_45
  31. Vanneschi, L.; Silva, S.. Using operator equalisation for prediction of drug toxicity with genetic programming. 2009.
    10.1007/978-3-642-04686-5_6
  32. Besozzi, D.; Cazzaniga, P.; Mauri, G.; Pescini, D.; Vanneschi, L.. A comparison of genetic algorithms and particle swarm optimization for parameter estimation in stochastic biochemical systems. 2009.
    10.1007/978-3-642-01184-9_11
  33. Vanneschi, L.; Gustafson, S.; Moraglio, A.; De Falco, I.; Ebner, M.. Preface. 2009.
  34. Vanneschi, L.; Verel, S.; Tomassini, M.; Collard, P.. NK landscapes difficulty and negative slope coefficient: How sampling influences the results. 2009.
    10.1007/978-3-642-01129-0_74
  35. Bandini, S.; Manzoni, S.; Mauri, G.; Redaelli, S.; Vanneschi, L.. GP generation of pedestrian behavioral rules in an evacuation model based on SCA. 2008.
    10.1007/978-3-540-79992-4_53
  36. Bianco, S.; Gasparini, F.; Schettini, R.; Vanneschi, L.. An evolutionary framework for colorimetric characterization of scanners. 2008.
    10.1007/978-3-540-78761-7_25
  37. Tomassini, M.; Vanneschi, L.. Negative Slope coefficient and the difficulty of random 3-SAT instances. 2008.
    10.1007/978-3-540-78761-7_70
  38. Valsecchi, A.; Vanneschi, L.. A study of some implications of the No Free Lunch Theorem. 2008.
    10.1007/978-3-540-78761-7_69
  39. Cagnoni, S.; Vanneschi, L.; Azzini, A.; Tettamanzi, A.G.B.. A critical assessment of some variants of particle swarm optimization. 2008.
    10.1007/978-3-540-78761-7_62
  40. Archetti, F.; Lanzeni, S.; Messina, E.; Vanneschi, L.. Genetic programming and other machine learning approaches to predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of drugs. 2007.
    10.1007/978-3-540-71783-6_2
  41. Bandini, S.; Manzoni, S.; Redaelli, S.; Vanneschi, L.. Automatic detection of go-based patterns in CA model of vegetable populations: Experiments on geta pattern recognition. 2006.
    10.1007/11861201_50
  42. Verel, S.; Collard, P.; Tomassini, M.; Vanneschi, L.. Neutral fitness landscape in the cellular automata majority problem. 2006.
    10.1007/11861201_31
  43. Bandini, S.; Manzoni, S.; Redaelli, S.; Vanneschi, L.. Emergent spatial patterns in vegetable population dynamics: Towards pattern detection and interpretation. 2006.
    10.1007/11758532_40
  44. Archetti, F.; Messina, E.; Toscani, D.; Vanneschi, L.. Classifying and counting vehicles in traffic control applications. 2006.
    10.1007/11732242_44
  45. Vanneschi, L.; Gustafson, S.; Mauri, G.. Using subtree crossover distance to investigate genetic programming dynamics. 2006.
    10.1007/11729976_21
  46. Vanneschi, L.; Tomassini, M.; Collard, P.; Vérel, S.. Negative slope coefficient: A measure to characterize genetic programming fitness landscapes. 2006.
    10.1007/11729976_16
  47. Vanneschi, L.; Tomassini, M.; Collard, P.; Clergue, M.. A survey of problem difficulty in genetic programming. 2005.
    10.1007/11558590_7
  48. Tomassini, M.; Vanneschi, L.; Fernández, F.; Galeano, G.. A Study of Diversity in Multipopulation Genetic Programming. 2004.
    10.1007/978-3-540-24621-3_20
  49. Vanneschi, L.; Clergue, M.; Collard, P.; Tomassini, M.; Vérel, S.. Fitness clouds and problem hardness in genetic programming. 2004.
    10.1007/978-3-540-24855-2_76
  50. Vanneschi, L.; Tomassini, M.; Collard, P.; Clergue, M.. Fitness distance correlation in structural mutation genetic programming. 2003.
    10.1007/3-540-36599-0_43
  51. Tomassini, M.; Vanneschi, L.; Fernández, F.; Galeano, G.. Diversity in multipopulation genetic programming. 2003.
    10.1007/3-540-45110-2_77
  52. Fernandez, F.; Vanneschi, L.; Tomassini, M.. The effect of plagues in genetic programming: A study of variable-size populations. 2003.
    10.1007/3-540-36599-0_29
  53. Vanneschi, L.; Tomassini, M.; Clergue, M.; Collard, P.. Difficulty of unimodal and multimodal landscapes in genetic programming. 2003.
    10.1007/3-540-45110-2_70
  54. Giacobini, M.; Tomassini, M.; Vanneschi, L.. Limiting the number of fitness cases in genetic programming using statistics. 2002.
    10.1007/3-540-45712-7_36
  55. Tomassini, M.; Vanneschi, L.; Fernández, F.; Galeano, G.. Experimental investigation of three distributed genetic programming models. 2002.
    10.1007/3-540-45712-7_62
Book chapter
  1. Castelli, M.; Vanneschi, L.; Largo, Á.R.. "Supervised learning: Classification". 342-349. 2018.
  2. Vanneschi, L.; Castelli, M.. "Multilayer perceptrons". 612-620. 2018.
  3. Vanneschi, L.; Castelli, M.. "Delta rule and backpropagation". 621-633. 2018.
  4. Giacobini, M.; Provero, P.; Vanneschi, L.; Mauri, G.. "Towards the use of genetic programming for the prediction of survival in cancer". 177-192. 2014.
  5. Vanneschi, L.; Poli, R.. "Genetic programming - introduction, applications, theory and open issues". 709-739. 2012.
  6. Cagnoni, S.; Vanneschi, L.. "Evolutionary Computation: A Brief Overview". In Genetic and Evolutionary Computation: Medical Applications, 3-15. 2010.
  7. Tomassini, M.; Vanneschi, L.. "Evolutionary algorithms in problem solving and machine learning". 124-137. 2008.
  8. Fernández, F.; Spezzano, G.; Tomassini, M.; Vanneschi, L.. "Parallel Genetic Programming". 127-153. 2005.
Conference paper
  1. 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
  2. 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
  3. 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
  4. Abbona, F.; Vanneschi, L.; Bona, M.; Giacobini, M.. "A GP approach for precision farming". 2020.
    10.1109/CEC48606.2020.9185637
  5. Lopez, U.; Trujillo, L.; Silva, S.; Vanneschi, L.; Legrand, P.. "Unlabeled multi-target regression with genetic programming". 2020.
    10.1145/3377930.3389846
  6. 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
  7. Re, A.; Vanneschi, L.; Castelli, M.. "Universal learning machine with genetic programming". 2019.
    10.5220/0007808101150122
  8. Bakurov, I.; Castelli, M.; Fontanella, F.; Vanneschi, L.. "A regression-like classification system for geometric semantic genetic programming". 2019.
    10.5220/0008052900400048
  9. Bakurov, Illya; Vanneschi, Leonardo; Castelli, Mauro; Fontanella, Francesco. "EDDA-V2". 2018.
    https://doi.org/10.1007/978-3-319-99253-2_15
  10. 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
  11. 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
  12. 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
  13. Vanneschi, L.; Castelli, M.; Moraglio, A.; Manzoni, L.; Silva, S.; Krawiec, K.; Gonçalves, I.. "PSXO – Population-wide semantic crossover". 2017.
    10.1145/3067695.3076003
  14. Vanneschi, L.; Galvao, B.. "A parallel and distributed semantic Genetic Programming system". 2017.
    10.1109/CEC.2017.7969304
  15. 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
  16. 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
  17. 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
  18. 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
  19. Castelli, M.; Vanneschi, L.. "A hybrid Harmony search algorithm with variable neighbourhood search for the bin-packing problem". 2014.
    10.1109/NaBIC.2014.6921849
  20. 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
  21. 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
  22. Castelli, M.; Manzoni, L.; Vanneschi, L.. "Parameter tuning of evolutionary reactions systems". 2012.
    10.1145/2330163.2330265
  23. Castelli, M.; Manzoni, L.; Vanneschi, L.. "The effect of selection from old populations in genetic algorithms". 2011.
    10.1145/2001858.2001948
  24. Vanneschi, L.; Castelli, M.; Manzoni, L.. "The K landscapes: A tunably difficult benchmark for genetic programming". 2011.
    10.1145/2001576.2001773
  25. 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
  26. 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
  27. Vanneschi, L.; Castelli, M.; Silva, S.. "Measuring bloat, overfitting and functional complexity in genetic programming". 2010.
    10.1145/1830483.1830643
  28. Vanneschi, L.; Codecasa, D.; Mauri, G.. "A study of parallel and distributed particle Swarm optimization methods". 2010.
    10.1145/1809018.1809022
  29. Manzoni, L.; Vanneschi, L.; Mauri, G.. "Definition of a crossover based distance for genetic algorithms". 2010.
    10.1145/1830483.1830752
  30. Valsecchi, A.; Vanneschi, L.; Mauri, G.. "Optimization speed and fair sets of functions". 2010.
    10.1145/1830483.1830753
  31. Vanneschi, L.; Codecasa, D.; Mauri, G.. "An empirical comparison of parallel and distributed particle swarm optimization methods". 2010.
    10.1145/1830483.1830487
  32. Silva, S.; Vanneschi, L.. "Operator equalisation, bloat and overfitting: A study on human oral bioavailability prediction". 2009.
    10.1145/1569901.1570051
  33. Vanneschi, L.; Cuccu, G.. "Variable size population for dynamic optimization with genetic programming". 2009.
    10.1145/1569901.1570222
  34. Vanneschi, L.; Gustafson, S.. "Using crossover based similarity measure to improve genetic programming generalization ability". 2009.
    10.1145/1569901.1570054
  35. Vanneschi, L.; Valsecchi, A.; Poli, R.. "Limitations of the fitness-proportional negative slope coefficient as a difficulty measure". 2009.
    10.1145/1569901.1570212
  36. Vanneschi, L.; Cuccu, G.. "A study of genetic programming variable population size for dynamic optimization problems". 2009.
  37. Bianco, S.; Schettini, R.; Vanneschi Disco, L.. "Empirical modeling for colorimetric characterization of digital cameras". 2009.
    10.1109/ICIP.2009.5413828
  38. Poli, R.; McPhee, N.F.; Vanneschi, L.. "The impact of population size on code growth in GP: Analysis and empirical validation". 2008.
  39. Poli, R.; McPhee, N.F.; Vanneschi, L.. "Elitism reduces bloat in genetic programming". 2008.
    10.1145/1389095.1389355
  40. Poli, R.; Vanneschi, L.. "Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms". 2007.
    10.1145/1276958.1277209
  41. Vanneschi, L.; Rochat, D.; Tomassini, M.. "Multi-optimization improves genetic programming generalization ability". 2007.
    10.1145/1276958.1277309
  42. 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
  43. Ebner, M.; O'Neill, M.; Ekárt, A.; Vanneschi, L.; Esparcia-Alcázar, A.I.. "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes: Preface". 2007.
  44. Vanneschi, L.; Verel, S.. "Fitness landscapes and problem hardness in evolutionary computation". 2007.
    10.1145/1274000.1274130
  45. Vanneschi, L.; Tomassini, M.; Pirola, Y.; Verel, S.; Collard, P.; Mauri, G.. "A quantitative study of neutrality in GP boolean landscapes". 2006.
  46. Vanneschi, L.; Mauri, G.; Valsecchi, A.; Cagnoni, S.. "Heterogeneous cooperative coevolution: Strategies of integration between GP and GA". 2006.
  47. Archetti, F.; Lanzeni, S.; Messina, E.; Vanneschi, L.. "Genetic programming for human oral bioavailability of drugs". 2006.
    10.1145/1143997.1144042
  48. Cagnoni, S.; Rivero, D.; Vanneschi, L.. "A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution". 2005.
  49. Gustafson, S.; Vanneschi, L.. "Operator-based distance for genetic programming: Subtree crossover distance". 2005.
    10.1007/978-3-540-31989-4_16
  50. Rochat, D.; Tomassini, M.; Vanneschi, L.. "Dynamic size populations in distributed genetic programming". 2005.
    10.1007/978-3-540-31989-4_5
  51. Tomassini, M.; Vanneschi, L.; Cuendet, J.; Fernández, F.. "A new technique for dynamic size populations in genetic programming". 2004.
    10.1109/cec.2004.1330896
  52. Vanneschi, L.; Tomassini, M.; Collard, P.; Clergue, M.. "Fitness distance correlation in genetic programming: A constructive counterexample". 2003.
    10.1109/CEC.2003.1299587
  53. Folino, G.; Pizzuti, C.; Spezzano, G.; Vanneschi, L.; Tomassini, M.. "Diversity analysis in cellular and multipopulation genetic programming". 2003.
    10.1109/CEC.2003.1299589
  54. Fernandez, F.; Tomassini, M.; Vanneschi, L.. "Saving computational effort in genetic programming by means of plagues". 2003.
    10.1109/CEC.2003.1299924
Journal article
  1. Boto Ferreira, Mário; Costa Pinto, Diego; Maurer Herter, Márcia; Soro, Jerônimo; Vanneschi, Leonardo; Castelli, Mauro; Peres, Fernando; et al. "Using artificial intelligence to overcome over-indebtedness and fight poverty". Journal of Business Research (2020): http://hdl.handle.net/10362/106280.
    https://doi.org/10.1016/j.jbusres.2020.10.035
  2. 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
  3. Raglio, Alfredo; Imbriani, Marcello; Imbriani, Chiara; Baiardi, Paola; Manzoni, Sara; Gianotti, Marta; Castelli, Mauro; et al. "Machine learning techniques to predict the effectiveness of music therapy". (2020): http://www.scopus.com/inward/record.url?scp=85074451949&partnerID=8YFLogxK.
    https://doi.org/10.1016/j.cmpb.2019.105160
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. Castelli, Mauro; Manzoni, Luca; Vanneschi, Leonardo; Popovic, Aleš. "An expert system for extracting knowledge from customers’ reviews". (2017): http://www.scopus.com/inward/record.url?scp=85019055201&partnerID=8YFLogxK.
    https://doi.org/10.1016/j.eswa.2017.05.008
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. Castelli, M.; Manzoni, L.; Vanneschi, L.; Popovic, A.. "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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. Vanneschi, Leonardo. "A new genetic programming framework based on reaction systems". Genetic Programming and Evolvable Machines (2013):
    10.1007/s10710-013-9184-y
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. 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
  66. 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
  67. 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
  68. 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
  69. 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
  70. 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
  71. 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
  72. 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
  73. 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
  74. 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
  75. 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
  76. 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
  77. 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.
  78. 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
  79. 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
  80. 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
  81. 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.
  82. 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
  83. 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
  84. 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
  85. 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
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2010/01/04 Orador Convidado Principal em numerosos eventos nacionais e internacionais
1999/01/10 Numerosos trabalhos apresentados em eventos nacionais e internacionais

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2021 - 2021/01/13 A study of generalization in regression: proposal of a new metric and loss function to better understand and improve generability
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020/11/30 Machine learning based optimization for database replication system
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020/06/02 Enhanced web analytics for health insurance
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020/02/18 Ensemble learning with GSGP
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019/11/19 Customer clustering in the health insurance industry by means of unsupervised machine learning
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Gestão da Informação (PhD)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019/07/11 Predictive churn models in vehicle insurance
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018/12/20 Automated data analysis report and user segmentation clustering
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018/04/20 Algorithmic composer, an unconventional music classification system
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Tecnologias Geoespaciais (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018/02/15 Personalized bank campaign using artificial neural networks
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2017 - 2017/11/02 A Multi-Population Hybrid Genetic Programming System
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2017 - 2017/05/30 CREDIT SCORING USING GENETIC PROGRAMMING
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Métodos Analíticos Avançados (Master)
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
Supervisor
 Gestão de Informação (Master)
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
Supervisor
 Gestão de Informação (Master)
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
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2015 - 2015/11/11 From user browsing behaviour to user demographics
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2014 - 2014/09/29 Programação genética - aplicada à previsão de parâmetros farmacocinéticos
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2001/01/11 - Current Organização de númerosos eventos científicos nacionais e internacionais (2001 - 2031/01/11)

Association member

Society Organization name Role
2019/01/16 - Current Editor Associado da Revista Científica Entropy Editor Associado da Revista Científica Entropy
2019/01/08 - Current Editor Associado da Revista Científica ACM Transactions on Evolutionary Learning and Optimization Editor Associado da Revista Científica ACM Transactions on Evolutionary Learning and Optimization
2009/03/03 - Current Membro do Conselho Editorial de Revista Científica Evolutionary Computation Journal Membro do Conselho Editorial de Revista Científica Evolutionary Computation Journal
2009/01/10 - Current Editor Associado da Revista Científica Genetic Programming and Evolvable Machines Editor Associado da Revista Científica Genetic Programming and Evolvable Machines
2000/01/17 - Current Editor de várias atas de conferêcia e números especias de rivista científica Editor de várias atas de conferêcia e números especias de rivista científica
2007/01/18 - 2010/12/30 Membro do Conselho Editorial de Revista Científica Journal of Artificial Evolution and Applications Membro do Conselho Editorial de Revista Científica Journal of Artificial Evolution and Applications

Conference scientific committee

Conference name Conference host
2000/01/18 - Current Presidências de Comités de Programa de Conferências Nacionais e Internacionais, Participação nos Comités de Programa de Conferências Nacionais e Internacionais

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
1999/09/01 - Current Professor de numerosas disciplinas na área da Informática e da Ciência de Computação, em Portugal, Itália e Suiça

Evaluation committee

Activity description
Role 		Institution / Organization Funding entity
2014/09/01 - Current Diretor do Mestrado em Data Science and Advanced Analytics da NOVA IMS
2000/01/15 - Current Preidente di júri e membro do júri de numerosas avaliações (concursos para attribuição de posição académica, agregação, teses de doutoramento, teses de mestrado)

Journal scientific committee

Journal title (ISSN) Publisher
2000/01/15 - Current Reviewer de numerosos artigos de rivista científica varias
Distinctions

Award

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

Title

2016 Agregação em Gestão Informação, na especialidade de Sistemas de Informação e Decisão
Universidade Nova de Lisboa, Portugal