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I am an Associate Professor at Faculdade de Ciências da Universidade de Lisboa (Ciências ULisboa) and a senior researcher at LASIGE. Always focused on AI, I completed the BSc and MSc in Informatics at Ciências ULisboa. I worked in different research institutions, applying machine learning in multidisciplinary projects of diverse fields like remote sensing and bioinformatics, until I took a strong interest in evolutionary computation, particularly genetic programming, and enrolled in a PhD at the University of Coimbra. Upon PhD completion (2008), I took a 5-year research position at INESC-ID and then moved back to Ciências as a Principal Investigator funded by FCT. For the first 5 years, I worked at the BioISI research unit while also teaching AI at NOVA IMS - International Management School. In 2019, I became an integrated member of LASIGE, still funded by FCT with a work plan focused on evolutionary machine learning applied to forest monitoring through satellite imagery. In 2023, I became an Associate Professor. I am highly recognized in the evolutionary computation community: I received the EvoStar Award for Outstanding Contribution to Evolutionary Computation in Europe (2018) by SPECIES - Society for the Promotion of Evolutionary Computation in Europe and its Surroundings; I was General Chair of the largest conference of the field, GECCO - Genetic and Evolutionary Computation Conference (2023); I am an elected member of the executive boards of both SPECIES and ACM SIGEVO. I have authored the free open software GPLAB, the first and still most complete MATLAB toolbox for genetic programming. My research interests are mainly meta-learning issues of data preprocessing and feature construction, manipulation of feature spaces, interpretability, reliability and robustness of the induced models. Lately, I have been more dedicated to deep learning methods and applications. I currently have several PhD and MSc students working on this theme under my supervision, mostly on medical imaging for clinical applications and signal processing for ecology and sustainability studies.
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Identificação

Identificação pessoal

Nome completo
Sara Guilherme Oliveira da Silva

Identificadores de autor

Ciência ID
AB11-64D7-B324
ORCID iD
0000-0001-8223-4799
Google Scholar ID
g15oqi0AAAAJ
Researcher Id
A-7680-2010
Scopus Author Id
8880294600

Websites

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Computação
Formação
Grau Classificação
2008/07/25
Concluído
 Engenharia Informática (Doutoramento)
Especialização em Inteligência Artificial
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
 summa cum laude
1999/11/25
Concluído
 Informática (Mestrado)
Especialização em Não Aplicável
Universidade de Lisboa Faculdade de Ciências, Portugal
1996/09/20
Concluído
 Informática (Licenciatura)
Especialização em Não Aplicável
Universidade de Lisboa Faculdade de Ciências, Portugal
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2019/01/06 - 2023/12/14 Investigador Contratado (Investigação) Universidade de Lisboa Faculdade de Ciências, Portugal
Universidade de Lisboa Faculdade de Ciências, Portugal
(...)
2014/01/01 - 2018/12/31 Investigador Contratado (Investigação) Universidade de Lisboa Faculdade de Ciências, Portugal
Universidade de Lisboa Faculdade de Ciências, Portugal
(...)
2010/09/01 - 2018/12/31 Investigador (Investigação) Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2010/09/01 - 2013/11/30 Investigador Contratado (Investigação) Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2008/08/01 - 2009/07/31 Pós-doutorado (Investigação) Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2003/10/01 - 2008/07/31 Investigador (Investigação) Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2000/01/01 - 2003/08/31 Investigador (Investigação) Universidade Nova de Lisboa Instituto de Tecnologia Química e Biológica, Portugal
1999/09/01 - 2000/11/30 Investigador (Investigação) Universidade de Lisboa Instituto Superior de Agronomia, Portugal
Universidade de Lisboa Instituto Superior de Agronomia, Portugal
1998/06/01 - 1999/04/30 Investigador (Investigação) Universidade de Lisboa Faculdade de Ciências, Portugal
Universidade de Lisboa Faculdade de Ciências, Portugal
1997/02/01 - 1997/12/31 Investigador (Investigação) Direção-Geral do Território, Portugal
Direção-Geral do Território, Portugal
1996/02/01 - 1996/09/01 Estagiário de Investigação (Investigação) Direção-Geral do Território, Portugal
Direção-Geral do Território, Portugal

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2023/12/15 - Atual Professor Associado (Docente Universitário) Universidade de Lisboa Faculdade de Ciências, Portugal
2018/09/01 - 2019/02/28 Professor Auxiliar Convidado (Docente Universitário) 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
2013 - 2019 Professor Auxiliar Convidado (Docente Universitário) Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2017/09/01 - 2018/02/28 Professor Auxiliar Convidado (Docente Universitário) 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
2015 - 2016 Professor Auxiliar Convidado (Docente Universitário) Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2014 - 2015 Professor Auxiliar Convidado (Docente Universitário) Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2014 - 2015 Professor Auxiliar Convidado (Docente Universitário) Universidade de Lisboa Faculdade de Ciências, Portugal

Cargos e Funções

Categoria Profissional
Instituição de acolhimento 		Empregador
2013/01/01 - 2013/11/30 Executive coordinator of the KDBIO group Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
Projetos

Projeto

Designação Financiadores
2019 - 2023/06 MARCODE - Desenvolvimento e Aplicação de Ferramentas Bioquímicas de Rastreamento de Produtos Comerciais Marinhos
MAR-01.03.01-FEAMP-0047
Investigador
Em curso
2018/10 - 2022/09 OPTOX - Development and validation of bio-optical ecotoxicological tests in marine phototrophs
PTDC/CTA-AMB/30056/2017
Investigador
Concluído
2018/09 - 2022/09 INTERPHENO - An interdisciplinary approach to high throuput phenotyping in plants
PTDC/ASP-PLA/28726/2017
Investigador
Concluído
2019/01 - 2022/07 GADgET - Online Gambling Addiction Detection
DSAIPA/DS/0022/2018
Investigador
Concluído
2018/10 - 2022/07 BINDER - Improving Bio-Inspired Deep Learning for Radiomics
PTDC/CCI-INF/29168/2017
Investigador
Concluído
2019/01 - 2021/12 PREDICT - Personalized therapy for rheumatic diseases via machine learning
PTDC/CCI-CIF/29877/2017
Investigador
Concluído
2016/06 - 2019/09 PERSEIDS - Personalizing cancer therapy through integrated modeling and decision
PTDC/EMS-SIS/0642/2014
Investigador
Concluído
2013/12/31 - 2018/12/30 GM3 - Putting Genetic Programming on the map of Machine Learning for data mining
IF/00039/2013/CP1159/CT0013
Investigador responsável
Universidade de Lisboa Faculdade de Ciências, Portugal
Concluído
2014/01/01 - 2018/07/31 ASSISIbf - Animal and robot Societies Self-organise and Integrate by Social Interaction (bees and fish)
EU-FP7 Project ID: 601074
Investigador
Concluído
2013/11 - 2016/10 ACOBSEC - Analysis and Classification of mental states of vigilance with Evolutionary Computation
FP7-PEOPLE Project ID: 612689
Investigador
Concluído
2013/06/01 - 2015/10/31 InteleGen - Pharmacokinetic/Pharmacogenetic modulation of HIV infection therapy by bayesian and artificial intelligence methods
info:eu-repo/grantAgreement/FCT/3599-PPCDT/127055/PT
Investigador
Fundação para a Ciência e a Tecnologia
Concluído
2013/04/01 - 2015/09/30 MaSSGP - Improving Semantic Genetic Programming for Maritime Safety, Security and Environmental Protection
info:eu-repo/grantAgreement/FCT/3599-PPCDT/129038/PT
Investigador
Fundação para a Ciência e a Tecnologia
Concluído
2014/04 - 2015/09 CancerSys - Multiscale modeling for personalized therapy of bone metastasis
info:eu-repo/grantAgreement/FCT/3599-PPCDT/134979/PT
Investigador
Universidade do Algarve Faculdade de Ciências e Tecnologia
Concluído
2010/04/16 - 2013/10/15 EnviGP - Improving Genetic Programming for the Environment and Other Applications
info:eu-repo/grantAgreement/FCT/3599-PPCDT/103363/PT
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
2001/01 - 2003/09 EURIS - European Resistance Intervention Study - reducing resistance in respiratory tract pathogens in children
QLK2-CT-2000-01020
Investigador
Concluído
Produções

Publicações

Artigo em conferência
  1. Philipp Fleck; Stephan Winkler; Michael Kommenda; Sara Silva; Leonardo Vanneschi; Michael Affenzeller. "Evolutionary Algorithms for Segment Optimization in Vectorial GP". 2023.
    10.1145/3583133.3590668
  2. Karina Brotto Rebuli; Mario Giacobini; Sara Silva; Leonardo Vanneschi. "A Comparison of Structural Complexity Metrics for Explainable Genetic Programming". 2023.
    10.1145/3583133.3590595
  3. Giorgia Nadizar; Fraser Garrow; Berfin Sakallioglu; Lorenzo Canonne; Sara Silva; Leonardo Vanneschi. "An Investigation of Geometric Semantic GP with Linear Scaling". 2023.
    10.1145/3583131.3590418
  4. Nuno Rodrigues; José Almeida; Sara Silva. "Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming". 2023.
    10.1145/3583133.3590748
  5. Sousa, Rita T.; Silva, Sara; Pesquita, Cátia. "Explainable Representations for Relation Prediction in Knowledge Graphs". Trabalho apresentado em International Conference on Principles of Knowledge Representation and Reasoning, 2023.
    Aceite para publicação • 10.24963/kr.2023/62
  6. Joao E. Batista; Sara Silva. "Comparative study of classifier performance using automatic feature construction by M3GP". 2022.
    10.1109/CEC55065.2022.9870343
  7. Fonseca, Alcides; Santos, Paulo; Silva, Sara. "The Usability Argument for Refined Typed Genetic Programming". Trabalho apresentado em Parallel Problem Solve from Nature (PPSN), Leiden, 2020.
    Publicado
  8. João E. Batista; Silva, Sara; Batista, J.E.; Silva, S.. "Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP". Trabalho apresentado em IEEE Congress on Evolutionary Computation, Glasgow, 2020.
    No prelo • 10.1109/CEC48606.2020.9185630
  9. Nuno M. Rodrigues; Silva, Sara; Leonardo Vanneschi; Rodrigues, N.M.; Silva, S.; Vanneschi, L.. "A Study of Fitness Landscapes for Neuroevolution". Trabalho apresentado em IEEE Congress on Evolutionary Computation, Glasgow, 2020.
    No prelo • 10.1109/CEC48606.2020.9185783
  10. Lopez, U.; Trujillo, L.; Silva, S.; Vanneschi, L.; Legrand, P.. "Unlabeled multi-target regression with genetic programming". 2020.
    10.1145/3377930.3389846
  11. Santos, P.; Silva, S.; Fonseca, A.. "Refined typed genetic programming as a user interface for genetic programming". 2020.
    10.1145/3377929.3390042
  12. Batista, J.E.; Rodrigues, N.M.; Silva, S.. "To adapt or not to adapt, or the beauty of random settings". 2019.
    10.1145/3319619.3321994
  13. La Cava, William; Silva, Sara; Danai, Kourosh; Spector, Lee; Vanneschi, Leonardo; Moore, Jason H.. "A multidimensional genetic programming approach for identifying epsistatic gene interactions". 2018.
    Publicado • 10.1145/3205651.3208217
  14. Gongalves, I.; Fonseca, C.M.; Silva, S.; Castelli, M.. "Unsure when to stop? Ask your semantic neighbors". 2017.
    10.1145/3071178.3071328
  15. 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
  16. Vanneschi, Leonardo; Castelli, Mauro; Manzoni, Luca; Krawiec, Krzysztof; Moraglio, Alberto; Silva, Sara; Gonçalves, Ivo. "PSXO: population-wide semantic crossover". 2017.
    10.1145/3067695.3076003
  17. Castelli, M.; Manzoni, L.; Gonçalves, I.; Vanneschi, L.; Trujillo, L.; Silva, S.. "An analysis of geometric semantic crossover: A computational geometry approach". 2016.
  18. 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
  19. 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
Artigo em revista
  1. João E. Batista; Adam K. Pindur; Ana I.R. Cabral; Hitoshi Iba; Sara Silva. "Complexity, interpretability and robustness of GP-based feature engineering in remote sensing". Swarm and Evolutionary Computation (2025): https://doi.org/10.1016/j.swevo.2024.101761.
    10.1016/j.swevo.2024.101761
  2. Nuno M. Rodrigues; José Guilherme de Almeida; Ana Rodrigues; Leonardo Vanneschi; Celso Matos; Maria V. Lisitskaya; Aycan Uysal; Sara Silva; Nickolas Papanikolaou. "Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction". JCO Clinical Cancer Informatics (2024): https://doi.org/10.1200/CCI.23.00180.
    10.1200/CCI.23.00180
  3. Rita T. Sousa; Sara Silva; Catia Pesquita. "Explaining protein–protein interactions with knowledge graph-based semantic similarity". Computers in Biology and Medicine (2024): https://doi.org/10.1016/j.compbiomed.2024.108076.
    10.1016/j.compbiomed.2024.108076
  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. Nadizar, Giorgia; Sakallioglu, Berfin; Garrow, Fraser; Silva, Sara; Vanneschi, Leonardo. "Geometric Semantic GP with Linear Scaling: Darwinian vs. Lamarckian Evolution". Genetic Programming and Evolvable Machines (2024):
    Aceite para publicação
  6. Rodrigues, Nuno M.; Silva, Sara; Vanneschi, Leonardo; Papanikolaou, Nickolas. "A Comparative Study of Automated Deep Learning Segmentation Models for Prostate MRI". Cancers 15 5 (2023): 1467. http://dx.doi.org/10.3390/cancers15051467.
    Publicado • 10.3390/cancers15051467
  7. Sousa, Rita T.; Silva, Sara; Pesquita, Catia. "Supervised Biomedical Semantic Similarity". IEEE Access 11 (2023): 60635-60645. http://dx.doi.org/10.1109/access.2023.3285406.
    Publicado • 10.1109/access.2023.3285406
  8. Rita T. Sousa; Sara Silva; Catia Pesquita. "Supervised Biomedical Semantic Similarity". IEEE Access (2023): https://doi.org/10.1109/ACCESS.2023.3285406.
    10.1109/ACCESS.2023.3285406
  9. 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
  10. João E. Batista; Nuno M. Rodrigues; Ana I. R. Cabral; Maria J. P. Vasconcelos; Adriano Venturieri; Luiz G. T. Silva; Sara Silva. "Optical time series for the separation of land cover types with similar spectral signatures: cocoa agroforest and forest". International Journal of Remote Sensing (2022): https://doi.org/10.1080/01431161.2022.2089540.
    10.1080/01431161.2022.2089540
  11. Rodrigues, Nuno M.; Batista, João E.; Mariano, Pedro; Fonseca, Vanessa; Duarte, Bernardo; Silva, Sara. "Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants". Biology 10 9 (2021): 932. http://dx.doi.org/10.3390/biology10090932.
    Publicado • 10.3390/biology10090932
  12. Barradas, Ana; Correia, Pedro M.P.; Silva, Sara; Mariano, Pedro; Pires, Margarida Calejo; Matos, Ana Rita; da Silva, Anabela Bernardes; Marques da Silva, Jorge. "Comparing Machine Learning Methods for Classifying Plant Drought Stress from Leaf Reflectance Spectra in Arabidopsis thaliana". Applied Sciences 11 14 (2021): 6392. http://dx.doi.org/10.3390/app11146392.
    10.3390/app11146392
  13. 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 (2021): https://doi.org/10.3390/rs13091623.
    10.3390/rs13091623
  14. Jorge Marques da Silva; Andreia Figueiredo; Jorge Cunha; José Eduardo Eiras-Dias; Sara Silva; Leonardo Vanneschi; Pedro Mariano. "Using Rapid Chlorophyll Fluorescence Transients to Classify Vitis Genotypes". Plants 9 2 (2020): 174-174. https://doi.org/10.3390%2Fplants9020174.
    10.3390/plants9020174
  15. Rita T. Sousa; Sara Silva; Catia Pesquita. "Evolving knowledge graph similarity for supervised learning in complex biomedical domains". BMC Bioinformatics 21 1 (2020): https://doi.org/10.1186%2Fs12859-019-3296-1.
    10.1186/s12859-019-3296-1
  16. Azzali, I.; Vanneschi, L.; Bakurov, I.; Silva, S.; Ivaldi, M.; Giacobini, M.. "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
  17. Castelli, M.; Clemente, F.M.; Popovic, A.; Silva, S.; Vanneschi, L.. "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
  18. Rodrigues, N.M.; Silva, S.; Vanneschi, L.. "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
  19. 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
  20. La Cava, W.; Silva, S.; Danai, K.; Spector, L.; Vanneschi, L.; Moore, J.H.. "Multidimensional genetic programming for multiclass classification". Swarm and Evolutionary Computation 44 (2019): 260-272. http://www.scopus.com/inward/record.url?eid=2-s2.0-85046122786&partnerID=MN8TOARS.
    10.1016/j.swevo.2018.03.015
  21. Muñoz, L.; Trujillo, L.; Silva, S.. "Transfer learning in constructive induction with Genetic Programming". Genetic Programming and Evolvable Machines (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85074947704&partnerID=MN8TOARS.
    10.1007/s10710-019-09368-y
  22. 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
  23. 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
  24. Castelli, Mauro; Manzoni, Luca; Silva, Sara; Vanneschi, Leonardo; Popovic, Ales. "The influence of population size in geometric semantic GP". Swarm and Evolutionary Computation 32 (2017): 110-120. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000392774200006&KeyUID=WOS:000392774200006.
    10.1016/j.swevo.2016.05.004
  25. Trujillo, Leonardo; Munoz, Luis; Galvan-Lopez, Edgar; Silva, Sara. "neat Genetic Programming: Controlling bloat naturally". Information Sciences 333 (2016): 21-43. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000369203400003&KeyUID=WOS:000369203400003.
    10.1016/j.ins.2015.11.010
  26. Castelli, Mauro; Manzoni, Luca; Vanneschi, Leonardo; Silva, Sara; Popovic, Ales. "Self-tuning geometric semantic Genetic Programming". Genetic Programming and Evolvable Machines 17 1 (2016): 55-74. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000374670000005&KeyUID=WOS:000374670000005.
    10.1007/s10710-015-9251-7
  27. Goncalves, Ivo; Silva, Sara; Fonseca, Carlos M.; Castelli, Mauro. "Arbitrarily Close Alignments in the Error Space: a Geometric Semantic Genetic Programming Approach". Proceedings of the 2016 Genetic and Evolutionary Computation Conference (Gecco'16 Companion) (2016): 99-100. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000383741800050&KeyUID=WOS:000383741800050.
    10.1145/2908961.2908988
  28. Naredo, Enrique; Trujillo, Leonardo; Legrand, Pierrick; Silva, Sara; Munoz, Luis. "Evolving genetic programming classifiers with novelty search". Information Sciences 369 (2016): 347-367. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000383292500024&KeyUID=WOS:000383292500024.
    10.1016/j.ins.2016.06.044
  29. Castelli, Mauro; Trujillo, Leonardo; Vanneschi, Leonardo; Silva, Sara; Z-Flores, Emigdio; Legrand, Pierrick. "Geometric Semantic Genetic Programming with Local Search". Gecco'15: Proceedings of the 2015 Genetic and Evolutionary Computation Conference (2015): 999-1006. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000358795700125&KeyUID=WOS:000358795700125.
    10.1145/2739480.2754795
  30. 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
  31. Vanneschi, Leonardo; Castelli, Mauro; Silva, Sara. "A survey of semantic methods in genetic programming". Genetic Programming and Evolvable Machines 15 2 (2014): 195-214. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000335663900003&KeyUID=WOS:000335663900003.
    10.1007/s10710-013-9210-0
  32. Castelli, M.; Vanneschi, L.; Silva, S.. "Semantic Search Based Genetic Programming and the Effect of Introns Deletion (vol 44, pg 103, 2014)". Ieee Transactions on Cybernetics 44 4 (2014): 565-565. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000333119100010&KeyUID=WOS:000333119100010.
    10.1109/TCYB.2014.2303551
  33. Castelli, Mauro; Vanneschi, Leonardo; Silva, Sara; Agapitos, Alexandros; O'Neill, Michael. "Semantic Search-Based Genetic Programming and the Effect of Intron Deletion". Ieee Transactions on Cybernetics 44 1 (2014): 103-113. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000328948900008&KeyUID=WOS:000328948900008.
    10.1109/TSMCC.2013.2247754
  34. Castelli, Mauro; Silva, Sara; Manzoni, Luca; Vanneschi, Leonardo. "Geometric Selective Harmony Search". Information Sciences 279 (2014): 468-482. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000337985200032&KeyUID=WOS:000337985200032.
    10.1016/j.ins.2014.04.001
  35. Castelli, Mauro; Vanneschi, Leonardo; Silva, Sara. "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://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000335629500009&KeyUID=WOS:000335629500009.
    10.1016/j.eswa.2014.01.018
  36. Moraglio, A.; Togelius, J.; Silva, S.. "Geometric differential evolution for combinatorial and programs spaces". Evolutionary Computation 21 4 (2013): 591-624. http://www.scopus.com/inward/record.url?eid=2-s2.0-84887157250&partnerID=MN8TOARS.
    10.1162/EVCO_a_00099
  37. Castelli, M.; Castaldi, D.; Giordani, I.; Silva, S.; Vanneschi, L.; Archetti, F.; Maccagnola, D.. "An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8154 LNAI (2013): 78-89. http://www.scopus.com/inward/record.url?eid=2-s2.0-84884729122&partnerID=MN8TOARS.
    10.1007/978-3-642-40669-0_8
  38. Vanneschi, L.; Castelli, M.; Manzoni, L.; Silva, S.. "A new implementation of geometric semantic GP and its application to problems in pharmacokinetics". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7831 LNCS (2013): 205-216. http://www.scopus.com/inward/record.url?eid=2-s2.0-84875119289&partnerID=MN8TOARS.
    10.1007/978-3-642-37207-0_18
  39. Gonçalves, I.; Silva, S.. "Balancing learning and overfitting in genetic programming with interleaved sampling of training data". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7831 LNCS (2013): 73-84. http://www.scopus.com/inward/record.url?eid=2-s2.0-84875096888&partnerID=MN8TOARS.
    10.1007/978-3-642-37207-0_7
  40. 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
  41. Esparcia-Alcázar, A.I.; Silva, S.; Sim, K.; Cagnoni, S.; Agapitos, A.; Simões, A.; Urquhart, N.; et al. "Preface". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7835 LNCS (2013): http://www.scopus.com/inward/record.url?eid=2-s2.0-84875656856&partnerID=MN8TOARS.
  42. Castelli, M.; Vanneschi, L.; Silva, S.. "Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators". Expert Systems with Applications 40 17 (2013): 6856-6862. http://www.scopus.com/inward/record.url?eid=2-s2.0-84880346886&partnerID=MN8TOARS.
    10.1016/j.eswa.2013.06.037
  43. 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
  44. 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
  45. Silva, S.; Foster, J.A.. "Special issue on selected papers from the european conference on genetic programming". Genetic Programming and Evolvable Machines 13 3 (2012): 271-273. http://www.scopus.com/inward/record.url?eid=2-s2.0-84867214626&partnerID=MN8TOARS.
    10.1007/s10710-012-9167-4
  46. Gonçalves, I.; Silva, S.; Melo, J.B.; Carreiras, J.M.B.. "Random sampling technique for overfitting control in genetic programming". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7244 LNCS (2012): 218-229. http://www.scopus.com/inward/record.url?eid=2-s2.0-84859133043&partnerID=MN8TOARS.
    10.1007/978-3-642-29139-5_19
  47. Moraglio, A.; Silva, S.; Krawiec, K.; Machado, P.; Cotta, C.. "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7244 LNCS (2012): http://www.scopus.com/inward/record.url?eid=2-s2.0-84859147737&partnerID=MN8TOARS.
  48. 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
  49. Silva, S.. "Reassembling operator equalisation - A secret revealed". Genetic and Evolutionary Computation Conference, GECCO'11 (2011): 1395-1402. http://www.scopus.com/inward/record.url?eid=2-s2.0-84860419629&partnerID=MN8TOARS.
    10.1145/2001576.2001764
  50. Castelli, M.; Manzoni, L.; Silva, S.; Vanneschi, L.. "A quantitative study of learning and generalization in genetic programming". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6621 LNCS (2011): 25-36. http://www.scopus.com/inward/record.url?eid=2-s2.0-79955770836&partnerID=MN8TOARS.
    10.1007/978-3-642-20407-4_3
  51. Silva, S.. "Handling bloat in GP". Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication (2011): 1481-1507. http://www.scopus.com/inward/record.url?eid=2-s2.0-80051924672&partnerID=MN8TOARS.
    10.1145/2001858.2002146
  52. Moraglio, A.; Silva, S.. "Geometric Nelder-Mead Algorithm on the space of genetic programs". Genetic and Evolutionary Computation Conference, GECCO'11 (2011): 1307-1314. http://www.scopus.com/inward/record.url?eid=2-s2.0-84860404566&partnerID=MN8TOARS.
    10.1145/2001576.2001753
  53. Silva, S.; Anunciação, O.; Lotz, M.. "A comparison of machine learning methods for the prediction of breast cancer". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6623 LNCS (2011): 159-170. http://www.scopus.com/inward/record.url?eid=2-s2.0-79955777616&partnerID=MN8TOARS.
    10.1007/978-3-642-20389-3_17
  54. Trujillo, L.; Silva, S.; Legrand, P.; Vanneschi, L.. "An empirical study of functional complexity as an indicator of overfitting in genetic programming". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6621 LNCS (2011): 262-273. http://www.scopus.com/inward/record.url?eid=2-s2.0-79955759783&partnerID=MN8TOARS.
    10.1007/978-3-642-20407-4_23
  55. Moraglio, A.; Silva, S.. "Geometric differential evolution on the space of genetic programs". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6021 LNCS (2010): 171-183. http://www.scopus.com/inward/record.url?eid=2-s2.0-77952304110&partnerID=MN8TOARS.
    10.1007/978-3-642-12148-7-15
  56. Lotz, M.; Silva, S.. "Application of genetic programming classification in an industrial process resulting in greenhouse gas emission reductions". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6025 LNCS PART 2 (2010): 131-140. http://www.scopus.com/inward/record.url?eid=2-s2.0-77952403995&partnerID=MN8TOARS.
    10.1007/978-3-642-12242-2-14
  57. Esparcia-Alcazar, A.I.; Ekárt, A.; Silva, S.; Dignum, S.; Sima Uyar, A.. "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6021 LNCS (2010): http://www.scopus.com/inward/record.url?eid=2-s2.0-77952303086&partnerID=MN8TOARS.
  58. Vanneschi, L.; Castelli, M.; Silva, S.. "Measuring bloat, overfitting and functional complexity in genetic programming". Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 (2010): 877-884. http://www.scopus.com/inward/record.url?eid=2-s2.0-77955871126&partnerID=MN8TOARS.
    10.1145/1830483.1830643
  59. Silva, S.; Vasconcelos, M.J.; Melo, J.B.. "Bloat free genetic programming versus classification trees for identification of burned areas in satellite imagery". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6024 LNCS PART 1 (2010): 272-281. http://www.scopus.com/inward/record.url?eid=2-s2.0-77952353504&partnerID=MN8TOARS.
    10.1007/978-3-642-12239-2-28
  60. Castelli, M.; Manzoni, L.; Silva, S.; Vanneschi, L.. "A comparison of the generalization ability of different genetic programming frameworks". 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 (2010): http://www.scopus.com/inward/record.url?eid=2-s2.0-79959399671&partnerID=MN8TOARS.
    10.1109/CEC.2010.5585925
  61. Silva, S.. "Handling bloat in GP". Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication (2010): 2769-2794. http://www.scopus.com/inward/record.url?eid=2-s2.0-77955972432&partnerID=MN8TOARS.
    10.1145/1830761.1830918
  62. Silva, S.; Dignum, S.. "Extending operator equalisation: Fitness based self adaptive length distribution for bloat eree GP". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5481 LNCS (2009): 159-170. http://www.scopus.com/inward/record.url?eid=2-s2.0-67650697124&partnerID=MN8TOARS.
    10.1007/978-3-642-01181-8_14
  63. Silva, S.; Costa, E.. "Dynamic limits for bloat control in genetic programming and a review of past and current bloat theories". Genetic Programming and Evolvable Machines 10 2 (2009): 141-179. http://www.scopus.com/inward/record.url?eid=2-s2.0-64549095533&partnerID=MN8TOARS.
    10.1007/s10710-008-9075-9
  64. Dourado, A.; Silva, S.; Aires, L.; Araújo, J.. "Combining multidimensional scaling and computational intelligence for industrial monitoring". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5633 LNAI (2009): 232-246. http://www.scopus.com/inward/record.url?eid=2-s2.0-76249103196&partnerID=MN8TOARS.
    10.1007/978-3-642-03067-3_19
  65. Vanneschi, L.; Silva, S.. "Using operator equalisation for prediction of drug toxicity with genetic programming". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5816 LNAI (2009): 65-76. http://www.scopus.com/inward/record.url?eid=2-s2.0-71049115621&partnerID=MN8TOARS.
    10.1007/978-3-642-04686-5_6
  66. Silva, S.; Vanneschi, L.. "Operator equalisation, bloat and overfitting: A study on human oral bioavailability prediction". Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009 (2009): 1115-1122. http://www.scopus.com/inward/record.url?eid=2-s2.0-72749085793&partnerID=MN8TOARS.
    10.1145/1569901.1570051
  67. Silva, S.; Tseng, Y.-T.. "Classification of seafloor habitats using Genetic Programming". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4974 LNCS (2008): 315-324. http://www.scopus.com/inward/record.url?eid=2-s2.0-47249092263&partnerID=MN8TOARS.
    10.1007/978-3-540-78761-7_32
  68. Tseng, Y.-T.; Gavrilov, A.N.; Duncan, A.J.; Harwerth, M.; Silva, S.. "Implementation of genetic programming toward the improvement of acoustic classification performance for different seafloor habitats". Oceans 2005 - Europe 1 (2005): 634-639. http://www.scopus.com/inward/record.url?eid=2-s2.0-33746698357&partnerID=MN8TOARS.
    10.1109/OCEANSE.2005.1511788
  69. Silva, S.; Costa, E.. "Comparing tree depth limits and resource-limited GP". 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings 1 (2005): 920-927. http://www.scopus.com/inward/record.url?eid=2-s2.0-27144434015&partnerID=MN8TOARS.
  70. Silva, S.; Costa, E.. "Resource-limited genetic programming: The dynamic approach". GECCO 2005 - Genetic and Evolutionary Computation Conference (2005): 1673-1680. http://www.scopus.com/inward/record.url?eid=2-s2.0-32444439235&partnerID=MN8TOARS.
    10.1145/1068009.1068290
  71. Silva, S.; Fayolle, P.-A.; Vincent, J.; Pauron, G.; Rosenberger, C.; Toinard, C.. "Evolutionary computation approaches for shape modelling and fitting". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3808 LNCS (2005): 144-155. http://www.scopus.com/inward/record.url?eid=2-s2.0-33744805778&partnerID=MN8TOARS.
  72. Silva, S.; Costa, E.. "Dynamic limits for bloat control: Variations on size and depth". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3103 (2004): 666-677. http://www.scopus.com/inward/record.url?eid=2-s2.0-35048842196&partnerID=MN8TOARS.
  73. Silva, S.; Almeida, J.. "Dynamic maximum tree depth: A simple technique for avoiding bloat in tree-based GP". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2724 (2003): 1776-1787. http://www.scopus.com/inward/record.url?eid=2-s2.0-35248857899&partnerID=MN8TOARS.
  74. Silva, S.; Gouveia-Oliveira, R.; Maretzek, A.; Carriço, J.; Gudnason, T.; Kristinsson, K.G.; Ekdahl, K.; et al. "EURISWEB - Web-based epidemiological surveillance of antibiotic-resistant pneumococci in Day Care Centers". BMC Medical Informatics and Decision Making 3 (2003): 1-13. http://www.scopus.com/inward/record.url?eid=2-s2.0-2942737306&partnerID=MN8TOARS.
    10.1186/1472-6947-3-1
  75. DE VASCONCELOS, MJP; SILVA, S; TOME, M; ALVIM, M; PEREIRA, JMC. "Spatial prediction of fire ignition probabilities: Comparing logistic regression and neural networks". PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING 67 1 (2001): 73-81. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000166439300008&KeyUID=WOS:000166439300008.
Capítulo de livro
  1. Pedro Carvalho; Bruno Ribeiro; Nuno M. Rodrigues; João E. Batista; Leonardo Vanneschi; Sara Silva. "Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers". 2023.
    10.1007/978-3-031-30229-9_42
  2. Rita T. Sousa; Sara Silva; Heiko Paulheim; Catia Pesquita. "Biomedical Knowledge Graph Embeddings with Negative Statements". 2023.
    10.1007/978-3-031-47240-4_23
  3. Fonseca, Alcides; Santos, Paulo; Espada, Guilherme; Silva, Sara. "Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming". In Genetic Programming Theory and Practice XVIII, 45-62. Springer Singapore, 2022.
    Publicado • 10.1007/978-981-16-8113-4_3
  4. Nuno M. Rodrigues; João E. Batista; William La Cava; Leonardo Vanneschi; Sara Silva. "SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming". 2022.
    10.1007/978-3-031-02056-8_5
  5. Sousa, Rita Torres; Silva, Sara; Pesquita, Catia. "evoKGsim+: A Framework for Tailoring Knowledge Graph-Based Similarity for Supervised Learning". In The Semantic Web: ESWC 2021 Satellite Events, 141-146. Springer International Publishing, 2021.
    10.1007/978-3-030-80418-3_26
  6. Nuno M. Rodrigues; João E. Batista; Sara Silva. "Ensemble Genetic Programming". 2020.
    10.1007/978-3-030-44094-7_10
  7. Vanneschi, Leonardo; Castelli, Mauro; Manzoni, Luca; Silva, Sara; Trujillo, Leonardo. "Is k Nearest Neighbours Regression Better Than GP?". In Lecture Notes in Computer Science, 244-261. Springer International Publishing, 2020.
    10.1007/978-3-030-44094-7_16
  8. Alcides Fonseca; Paulo Santos; Sara Silva. "The Usability Argument for Refinement Typed Genetic Programming". 2020.
    10.1007/978-3-030-58115-2_2
  9. Irene Azzali; Leonardo Vanneschi; Sara Silva; Illya Bakurov; Mario Giacobini. "A Vectorial Approach to Genetic Programming". 213-227. Springer International Publishing, 2019.
    10.1007/978-3-030-16670-0_14
  10. La Cava, W.; Silva, S.; Vanneschi, L.; Spector, L.; Moore, J.. "Genetic programming representations for multi-dimensional feature learning in biomedical classification". In Lecture Notes in Computer Science. 2017.
    10.1007/978-3-319-55849-3_11
  11. López, Uriel; Trujillo, Leonardo; Martinez, Yuliana; Legrand, Pierrick; Naredo, Enrique; Silva, Sara. "RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming". In Lecture Notes in Computer Science, 114-130. Springer International Publishing, 2017.
    10.1007/978-3-319-55696-3_8
  12. Beretta, Stefano; Castelli, Mauro; Martinez, Yuliana; Munoz, Luis; Silva, Sara; Trujillo, Leonardo; Milanesi, Luciano; Merelli, Ivan. "A Machine Learning Approach for the Integration of miRNA-target Predictions". 528-534. 2016.
    10.1109/PDP.2016.125
  13. 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
  14. 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
  15. Goncalves, Ivo; Silva, Sara; Fonseca, Carlos M.. "Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming". 280-285. 2015.
    10.1007/978-3-319-23485-4_28
  16. Munoz, Luis; Silva, Sara; Trujillo, Leonardo. "M3GP-Multiclass Classification with GP". 78-91. 2015.
    10.1007/978-3-319-16501-1_7
  17. Goncalves, Ivo; Silva, Sara; Fonseca, Carlos M.. "On the Generalization Ability of Geometric Semantic Genetic Programming". 41-52. 2015.
    10.1007/978-3-319-16501-1_4
  18. Ingalalli, Vijay; Silva, Sara; Castelli, Mauro; Vanneschi, Leonardo. "A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems". In Lecture Notes in Computer Science, 48-60. Springer Berlin Heidelberg, 2014.
    10.1007/978-3-662-44303-3_5
  19. Ruberto, S.; Vanneschi, L.; Castelli, M.; Silva, S.. "ESAGP - A semantic GP framework based on alignment in the error space". 2014.
  20. 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
  21. Silva, Sara; Silva, Pedro J.N.; Costa, Ernesto. "Resource-Limited Genetic Programming: Replacing Tree Depth Limits". In Adaptive and Natural Computing Algorithms, 243-246. Springer-Verlag, 2005.
    Publicado • 10.1007/3-211-27389-1_58
Documento de trabalho
  1. Nuno M. Rodrigues; João E. Batista; Trujillo, Leonardo; Bernardo Duarte; Mario Giacobini; Leonardo Vanneschi; Silva, Sara. Autor correspondente: Nuno M. Rodrigues. 2021. "Plotting time: On the usage of CNNs for time series classification". https://doi.org/10.48550/arXiv.2102.04179.
Livro
  1. Vanneschi, Leonardo; Silva, Sara. Lectures on Intelligent Systems. Springer International Publishing. 2023.
    Publicado • 10.1007/978-3-031-17922-8
Poster em conferência
  1. Batista, João E.; Silva, Sara. "Evolving a cloud-robust water index with genetic programming". Trabalho apresentado em GECCO - Genetic and Evolutionary Computation Conference Companion, 2022.
    10.1145/3520304.3533946
Prefácio / Posfácio
  1. Kaufmann, P.; Castillo, P.A.; Bacardit, J.; Cotta, C.; Eiben, G.; Fernández, F.; Foster, J.; et al. "Preface". Prefácio para Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2019.
    Publicado
  2. Sim, K.; Kaufmann, P.; Ascheid, G.; Bacardit, J.; Cagnoni, S.; Cotta, C.; D’Andreagiovanni, F.; et al. "Preface". Prefácio para Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2018.
  3. Squillero, G.; Sim, K.; Ascheid, G.; Bacardit, J.; Brabazon, A.; Burelli, P.; Cagnoni, S.; et al. "Preface". 2017.
  4. Di Chio, C.; Agapitos, A.; Cagnoni, S.; Cotta, C.; De Vega, F.F.; Di Caro, G.; Drechsler, R.; et al. "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface". Prefácio para Lecture Notes in Computer Science. 2012.
Relatório
  1. Silva, Sara; Vanneschi, Leonardo; Dignum, S.. 2010. Bloat: Past, present, future. Technical report.

Outros

Software
  1. Castelli, Mauro; Vanneschi, Leonardo; Silva, Sara. "GSGP – A C++ Geometric Semantic Genetic Programming Library". 2013.
  2. Silva, Sara. "GPLAB - Genetic Programming Toolbox for MATLAB". 4.04. 2003.
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2021/11/30 Building the Building Blocks - Evolving Hyper-Features for Model Robustness and Readability (keynote) 2nd Workshop on Evolutionary and Population-based Optimization (WEPO 2021)
2020/11 Building Reusable Data Models (keynote) HAIS2020 - 15th International Conference on Hybrid Artificial Intelligence Systems

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2022/09 - Atual Steps Towards Interpretability: Model and Feature Complexity in Multiobjective Genetic Programming
Orientador
2022/02 - Atual Machine Learning Methodologies in Breast Cancer Medical Imaging
Orientador
2022/01 - Atual Intrusion Detection System Based on Deep Learning Techniques for the Internet of Vehicles in Smart Cities
Coorientador
2020/09 - Atual Developing integrated and interpretable deep learning models for prostate cancer using radiomics
Orientador
2020/09 - Atual Evolutionary Synthesis-based Program Repair from Refined Types
Coorientador
2024 - 2024 Evolving Financial Trading Agents Using Vectorial Genetic Programming
Orientador
 Engenharia Informática (Mestrado)
Universidade de Lisboa Faculdade de Ciências, Portugal
2022 - 2024 Improving Breast Cancer Diagnosis with Self-Supervised Learning Techniques in Medical Imaging
Orientador
 Informática (Doutoramento)
Universidade de Lisboa Faculdade de Ciências, Portugal
2019/09 - 2024 Evolving meaning for supervised learning in complex biomedical domains using knowledge graphs
Coorientador
Universidade de Lisboa Faculdade de Ciências, Portugal
2018/09 - 2024 Evolving Robust and Readable Land Cover Models for Improved Forest Monitoring
Orientador
Universidade de Lisboa Faculdade de Ciências, Portugal
2021/09 - 2023/05 Automatic Label Correction while Learning Classification Models with Genetic Programming
Orientador
2021/09 - 2023/03 Plotting Time: Exploring Visual Representations for Time Series Classification
Orientador
2021/09 - 2023/02 Genetic programming applied to financial markets
Orientador
2023 - 2023 Plotting Time: Exploring Visual Representations for Time Series Classification
Orientador
 Engenharia Informática (Mestrado)
Universidade de Lisboa Faculdade de Ciências, Portugal
2023 - 2023 AUTOMATIC LABEL CORRECTION WHILE LEARNING CLASSIFICATION MODELS WITH GENETIC PROGRAMMING
Orientador
 Engenharia Informática (Mestrado)
Universidade de Lisboa Faculdade de Ciências, Portugal
2023 - 2023 Specification-Driven Detection of Misconfigurations in ROS-based Robot Software
Coorientador
 Informática (Doutoramento)
Universidade de Lisboa Faculdade de Ciências, Portugal
2023 - 2023 Intrusion Detection System Based on Deep Learning Techniques for the Internet of Vehicles in Smart Cities
Coorientador
 Informática (Doutoramento)
Universidade de Lisboa Faculdade de Ciências, Portugal
2020/09 - 2022/04/01 End-to-end Deep Learning Pipeline for Breast Cancer Detection, Segmentation and Classification in Contrast-Enhanced Spectral Mammography
Orientador
Universidade de Lisboa Faculdade de Ciências, Portugal
2022 - 2022 End-to-end Deep Learning Pipeline for Breast Cancer Detection, Segmentation and Classification in Contrast-Enhanced Spectral Mammography
Orientador
 Bioinformática e Biologia Computacional (Mestrado)
Universidade de Lisboa Faculdade de Ciências, Portugal
2022 - 2022 Deep learning models for clinical assessment of prostate cancer
Orientador
 Informática (Doutoramento)
Universidade de Lisboa Faculdade de Ciências, Portugal
2019/09 - 2021/03 Combining knowledge to improve classification of Tuberculosis in Chest X-Rays
Orientador
2021 - 2021 Transferring Knowledge to improve classification of Tuberculosis in Chest X-rays
Orientador
 Bioinformática e Biologia Computacional (Mestrado)
Universidade de Lisboa Faculdade de Ciências, Portugal
2019/09 - 2020/07 A Study of Fitness Landscapes for Neuro-Evolution
Orientador
2020 - 2020 Exploring neuroevolution fitness landscapes for optimization and generalization
Orientador
 Engenharia Informática (Mestrado)
Universidade de Lisboa Faculdade de Ciências, Portugal
2018/09 - 2019/07 Evolving Meaning - Using Genetic Programming to learn similarity perspectives for mining biomedical data
Coorientador
Universidade de Lisboa Faculdade de Ciências, Portugal
2015 - 2019 Multidimensional Transformations of the Feature Space with Genetic Programming
Coorientador
Instituto Tecnológico de Tijuana, México
2017/09 - 2018/04 Genetic Programming for Time-Series Prediction
Orientador
Universidade de Lisboa Instituto Superior Técnico, Portugal
2018 - 2018 Studying Elements of Genetic Programming for Multiclass Classification
Orientador
 Engenharia Informática (Mestrado)
Universidade de Lisboa Faculdade de Ciências, Portugal
2012/09 - 2017/02 An Exploration of Generalization and Overfitting in Genetic Programming: Standard and Geometric Semantic Approaches
Orientador
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2012 - 2013/03 Metodi semantici nella programmazione evolutiva (Semantic methods in evolutionary programming)
Coorientador
Università degli Studi di Milano-Bicocca, Itália
2011 - 2012/02 Measures and Methods for Robust Genetic Programming
Coorientador
Università degli Studi di Milano-Bicocca, Itália
2010/09 - 2011/07 Controlling Overfitting in Genetic Programming
Orientador
Universidade de Coimbra Departamento de Engenharia Informática, Portugal

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação) 		Instituição / Organização
2010 - Atual Publication chair of EuroGP 2010 (2010)
2022/01 - 2023/12 General Chair of the Genetic and Evolutionary Computation Conference (GECCO) 2023 (2023/07/15 - 2023/07/19)
Conferência (Presidente da Comissão Organizadora)
2021/09 - 2022/12 Co-organizer of the Genetic Programming Theory and Practice (GPTP) workshop (2022/06 - 2022/10)
Conferência (Membro da Comissão Organizadora)
2019 - 2019 Program chair of the "Engineering and Real World Applications" thematic track of the EvoApplications conference (2019 - 2019)
2017 - 2018 Program chair of the Genetic Programming track of GECCO 2017 and 2018 (2017 - 2018)
Conferência
2017 - 2018 Program chair of EvoSET - Nature-inspired algorithms in Software Engineering and Testing, thematic track of the EvoApplications conference (2017 - 2018)
2011 - 2017 Program chair of ALEA - Artificial Life and Evolutionary Algorithms, thematic track in the biennial conference EPIA (2011 - 2017)
Conferência
2014/08 - 2015/07 Editor-in-Chief of GECCO 2015, including 18 scientific tracks. (2015/07 - 2015/07)
Conferência (Membro da Comissão Científica)
2013 - 2013 Program chair of EvoRISK - Computational Intelligence for Risk Management, Security and Defence Applications, thematic track of the EvoApplications conference (2013 - 2013)
2012 - 2012 Program chair of "Bio-Inspired Computing", thematic track of the IBERAMIA conference (2012 - 2012)
2011 - 2012 Program chair of EuroGP 2011 and 2012 (2011 - 2012)
Conferência
2011 - 2011 Program chair of EvoRISK - Computational Intelligence for Risk Management, Security and Defence Applications, thematic track of the EvoApplications conference (2011 - 2011)

Participação em evento

Descrição da atividade
Tipo de evento 		Nome do evento
Instituição / Organização
2023 - Atual I discussed sustainable development challenges at a round table “Contributo da Ciência para o Desenvolvimento Sustentável”
Fundação para a Ciência e a Tecnologia, Portugal
2018 - Atual I presented my work plan on "Intelligent Forest Monitoring" “Mais Ciência, Melhor Sociedade”
Fundação para a Ciência e a Tecnologia, Portugal

Júri de grau académico

Tema
Tipo de participação 		Nome do candidato (Tipo de grau)
Instituição / Organização
2023 Efficient adaptation of reinforcement learning agents: from model-free exploration to symbolic world models
Arguente
 Pierre-Alexandre Kamienny (Doutoramento)
Sorbonne Université, França
2023 Determinação da Condição de Operação dos Óleos Lubrificantes em Motores Diesel
Arguente principal
 Roney Camargo Malaguti (Doutoramento)
Universidade de Coimbra, Portugal
2023 Nature Inspired Algorithms for Robotic Odour Search
Arguente principal
 João Pedro Gonçalves Teixeira de Macedo (Doutoramento)
Universidade de Coimbra, Portugal
2023 Coevolutionary Generative Adversarial Networks
Vogal
 Victor Franco Costa (Doutoramento)
Universidade de Coimbra, Portugal
2023 A Genetic Programming Approach for Computer Vision: Classifying High-level Image Features from Convolutional Layers with an Evolutionary Algorithm
Arguente principal
 Rui Filipe Martins Monteiro (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2022 Soft Computing for Ill Posed Problems in Computer Vision
Arguente principal
 Illya Bakurov (Doutoramento)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2022 Monitoring Greenhouses with Satellite Images and Machine Learning
Arguente principal
 Pedro Miguel Pereira Cardoso (Mestrado)
Universidade do Porto, Portugal
2021 Neuronal mitochondrial metabolism and dynamic profiling under physiological and pathological conditions using biological-based machine learning approaches
Arguente principal
 Rui Fernando Vieira Lisboa Matias Simões (Doutoramento)
Universidade de Coimbra, Portugal
2021 Classification of microcytic anaemias using machine learning methods
Arguente principal
 Beatriz Neves Leitão (Mestrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2020 Populações Baseadas em Multisets para Algoritmos Evolutivos
Arguente
 António Manuel Rodrigues Manso (Doutoramento)
Universidade de Lisboa, Portugal
2020 Machine Learning methods for finding predictors of Rheumatoid Arthritis treatment response
Arguente principal
 Joana Alter Palhinha (Mestrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2020 Remote Sensing and Machine Learning Tools for Vegetation Monitoring
Arguente principal
 Sofia Perestrelo de Vasconcelos Cardoso Pereira (Mestrado)
Universidade do Porto, Portugal
2019 Geometric Semantic Inspired Mutation for M3GP
Arguente principal
 Ana Sofia Brás Pinto (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2018 Evolutionary Computation for Classifier Assessment and Improvement
Arguente principal
 João Nuno Gonçalves Costa Cavaleiro Correia (Doutoramento)
Universidade de Coimbra, Portugal
2018 An initialization technique for geometric semantic genetic programming based on demes evolution and despeciation. Machine learning for rare diseases: a case study
Arguente principal
 Illya Bakurov (Mestrado)
Universidade NOVA de Lisboa NOVA Information Management School, Portugal

Comissão de avaliação

Descrição da atividade
Tipo de assessoria 		Instituição / Organização Entidade financiadora
2022 - 2022 Reviewer of a project proposal for the Marsden Fund, Royal Society, New Zealand
Avaliador
2015 - 2015 Evaluation of the Period Report of a FET (Future and Emerging Technologies) project for the European Commission
Especialista
 European Commission
2009 - 2009 Reviewer of a project proposal for the Czech Science Foundation
Avaliador

Entrevista (jornal / revista)

Descrição da atividade Jornal / Forum
2023 25-minute interview for the newsletter of SPECIES - the Society for the Promotion of Evolutionary Computation in Europe and Surroundings
2023 "Global Challenges" 1-minute video for the Ciências Research and Innovation Day (University of Lisbon)
2018/08/29 "Só os algoritmos eficazes sobrevivem" - Interview about my scientific activity in Evolutionary Algorithms (in Portuguese). Exame Informática
2012/11 Testing new medicines: Predicting human oral bioavailability ScienceDaily

Membro de associação

Nome da associação Tipo de participação
2022 - Atual ACM - American Computing Machinery
2018/04 - Atual SPECIES - the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings Executive Board
1995 - Atual APPIA - Associação Portuguesa para a Inteligência Artificial

Membro de comissão

Descrição da atividade
Tipo de participação 		Instituição / Organização
2022 - Atual Elected Member of the Executive Board of SPECIES - the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings
Membro
2019 - Atual Elected Member of the Executive Board of SPECIES - the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings
Membro
2019 - Atual Member of the Scientific Committee of LASIGE
Membro
2014 - Atual Member of the Department Committee of the Department of Informatics of FCUL Universidade de Lisboa Faculdade de Ciências, Portugal
2010 - Atual Member of the Steering Committee of EuroGP - European Conference on Genetic Programming
Membro
2023/07 - 2029/06 Elected Member of the Executive Board of ACM SIGEVO - Special Interest Group in Genetic and Evolutionary Computation
Membro
2014/09 - 2015/08 Member of the PhD pedagogical commission of the Department of Informatics of FCUL
Membro
 Universidade de Lisboa Faculdade de Ciências, Portugal
2013 - 2013 Executive Coordinator of the KDBIO - Knowledge Discovery and Bioinformatics group at INESC-ID Lisboa
Coordenador

Outro júri / avaliação

Descrição da atividade Instituição / Organização
2022 - Atual Associate Editor of the Genetic Programming and Evolvable Machines (GPEM) journal
2021/09 - Atual Associate Editor of the Swarm and Evolutionary Computation (SWEVO) journal
2019 - Atual Associate Editor of the ACM Transactions on Evolutionary Learning and Optimization (ACM TELO) journal
2008 - Atual Reviewer for AI Commun, ASOC, EVCO, GPEM, Heat Transfer Eng, HERA, IEEE TEVC, IEEE TGARS, Int J Heat Mass Tran, NCA, PLoS ONE, PAI, Recent Patents on Computer Science, Soft Comput, Water Resour Res, among others. Most recent reviews are in Publons profile https://publons.com/researcher/1207149/sara-silva/
2004 - Atual Member of the program committee of IJCAI, GECCO, CEC, EuroGP, EvoApplications, SOCO, IBERAMIA, EVOLVE, among others. Most recent reviews are in Publons profile https://publons.com/researcher/1207149/sara-silva/
2022 - 2022 Jury member for 4 grants of LASIGE research unit (UIDP/00408/2020), representing the Data and Systems Intelligence research line Universidade de Lisboa Laboratório de Sistemas Informáticos de Grande Escala, Portugal
2009 - 2021 Member of the Editorial Board of the Genetic Programming and Evolvable Machines (GPEM) journal
Distinções

Prémio

2023 Best Poster Award (for the poster "Can ChatGPT explain protein interactions better than Knowledge Graphs?") in the LASIGE workshop
Universidade de Lisboa Laboratório de Sistemas Informáticos de Grande Escala, Portugal
2021 Best Poster Award (for the poster "evoKGsim+: a framework for tailoring Knowledge Graph-based similarity for supervised learning")
2019 Best Poster Award (for the poster "Evolving meaning: Using Genetic Programming to learn similarity perspectives for mining biomedical data") in the LASIGE workshop
Universidade de Lisboa Laboratório de Sistemas Informáticos de Grande Escala, Portugal
2018 EvoStar Award for Outstanding Contribution to Evolutionary Computation in Europe
SPECIES Society, Canadá
2014 Best Paper Award (for the paper "ESAGP - A Semantic GP Framework Based on Alignment in the Error Space")
2013 Best Paper Award at EuroGP 2013 (for the paper "A New Implementation of Geometric Semantic GP and its Application to Problems in Pharmacokinetics")
2010 Best Paper Award at EuroGP 2010
2010 Best Paper Award at EvoStar 2010
2009 Best Paper Award at EuroGP 2009
2001 ESRI Award for Best Scientific Paper in Geographic Information Systems
American Society for Photogrammetry and Remote Sensing, Estados Unidos

Outra distinção

2023 Inclusion in the Research.com ranking that distinguished 131 scientists from the University of Lisbon, 29 of which from the Faculty of Sciences
2013 Nomination for Best Paper Award of EuroGP 2013 (for the paper "Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data")
2013 Best Young Researcher of INESC-ID in 2012
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2012 Nomination for Best Young Researcher of INESC-ID in 2011
2011 Nomination for Best Paper Award at GECCO 2011 (to be voted in July 2011)
2010 Grant for participation in GECCO 2010
Fundação Luso-Americana, Portugal
2009 Travel bursary for EvoStar 2009, Tuebingen, Germany
2008 Travel bursary for EvoStar 2008, Naples, Italy
2005 Travel bursary for CEC 2005, Edimburgh, Scotland
Fundação Calouste Gulbenkian, Portugal
2005 Student travel grant for GECCO 2005, Washington DC, USA
Association for the Advancement of Artificial Intelligence, Estados Unidos
2005 Grant for participation in GECCO 2005, Washington DC, USA
Fundação Luso-Americana, Portugal
2004 Student travel grant for GECCO 2004, Seatlle WA, USA
Association for the Advancement of Artificial Intelligence, Estados Unidos
2003 Nomination for Best Paper Award at GECCO 2003 GP track
2003 Student travel grant for GECCO 2003, Chicago IL, USA
Association for the Advancement of Artificial Intelligence, Estados Unidos
2003 Grant for participation in GECCO 2003, Chicago IL, USA
Fundação Luso-Americana, Portugal
2002 EU fellowship for the 5th ESMTB conference, Milan, Italy
European Commission, Bélgica
1998 Grant for the EU course Protein Folding and Structure Prediction, Turin, Italy
1995 Student scholarship for EPIA 1995, Funchal, Madeira Island, Portugal