Linkedin

Member

Sara Silva

LASIGE and Ciências hosted the Technovation Girls Challenge Portugal’s final
Distinguished Publications @ LASIGE Workshop 2026
Nuno Neves, Sara Silva and Francisco M. Couto listed (once again) as top researchers at Research.com
Nuno M. Rodrigues and Sara Silva research published in Food Control journal
Sara Silva research published in IEEE Transactions on Evolutionary Computation
Nuno Neves, Francisco M. Couto and Sara Silva listed as top researchers at Research.com
Nuno Rodrigues and Sara Silva published in Scientific Reports
LASIGE researchers publish in the Radiology: Artificial Intelligence journal
LASIGE’s work can improve the early detection of one of the most prevalent cancers
LASIGE's 2024 PhD graduations
LASIGE researchers publish in the journal Scientific Data
LASIGE publishes in the Swarm and Evolutionary Computation journal
Sara Silva's book reviewed by Genetic Programming and Evolvable Machines
LASIGE @ CIÊNCIAS Research & Innovation Day 2024
Nuno Neves, Sara Silva, and Francisco M. Couto top researchers at Research.com
LASIGE team publishes in Computers for Biology and Medicine journal
Sara Silva and Nuno C. Garcia in Global Challenges short video series
LASIGE @ Ciências Research & Innovation Day 2023
Sara Silva general chair at GECCO 2023
Sara Silva on the Executive Board of SIGEVO (23/28)
LASIGE publishes in IEEE Access
Rita Sousa, Sara Silva and Cátia Pesquita accepted @ KR 2023
Nuno Neves and Sara Silva top researchers at Research.com
Girls in ICT 2023 @ Ciências
Sara Silva on the Executive Board of SPECIES Society (23/24)
8th LASIGE Workshop (2023)
Sara Silva interviewed by the SPECIES Society
MarCODE project results
Sara Silva publishes a book with Springer
LASIGE Ph.D. Students studying at CMU
LASIGE at FTC's SDG sessions
LASIGE research's published in Information Sciences
LASIGE published in International Journal of Remote Sensing
Keynote speaker @ SeWeBMeDA
LASIGE at Encontro Ciência 2022
LASIGE @ Ciências Research Day 2021
Nuno Rodrigues, João Batista, Pedro Mariano and Sara Silva work published in Biology journal
Best Poster Award at ESWC2021
Sara Silva and Alcides Fonseca @ GPTP 2021
João Batista and Sara Silva's research publish in Remote Sensing Journal
Sara Silva Plenary Speaker @ HAIS2020
LASIGE's MSc student Nuno Rodrigues work published in IEEE Access, a top ranked journal
Sara Silva and Cátia Pesquita participate in MarCODE project
Sara Silva re-elected at the Executive Board of SPECIES Society
BINDER project highlighted at Público newspaper
LASIGE researchers publish in BMC Bioinformatics Special Issue in Machine learning for computational and systems biology

PAST

Acronym Title Funding Entity Start Date End Date
THOR Computer Assisted Thoracic Assessment using POCUS FCT 01/03/2021 29/02/2024
MarCODE Development and Application of Biochemical Tools for Seafood Products Traceability MAR2020 Other 01/07/2020 30/06/2023
OPTOX Development and validation of bio-optical ecotoxicological tests in marine phototrophs FCT 01/10/2018 30/09/2022
INTERPHENO Fostering High Throughput Plant Phenotyping by an Interdisciplinary Approach FCT 15/09/2018 14/09/2022
BINDER Improving Bio-Inspired Deep Learning for Radiomics FCT 01/10/2018 30/07/2022
GADgET Online Gambling Addiction Detection FCT 10/01/2019 09/07/2022
PREDICT Personalized therapy for RhEumatic DIseases via machine learning FCT 01/01/2019 31/12/2021
PERSEIDS PERSEIDS – PERSONALIZING CANCER THERAPY THROUGH INTEGRATED MODELING FCT 17/06/2016 16/12/2019
to
Nuno M. Rodrigues, Vanessa F. Fonseca, Renato Mamede, Susanne E. Tanner, Bernardo Duarte, Sara Silva. Integrating elemental and total reflection X-ray spectral fingerprints with machine learning for advanced seafood traceability. Food Control, Elsevier BV, 2026 [Biblios]
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, 92, Elsevier BV, 2025 [Biblios]
José Guilherme de Almeida, Nuno M. Rodrigues, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Celso Matos, Sara Silva, Manolis Tsiknakis, Kostantinos Marias, Daniele Regge, Nikolaos Papanikolaou. Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning-assisted Prostate Cancer Classification Using Multiparametric MRI. Radiology: Artificial Intelligence, Radiological Society of North America (RSNA), 2025 [Biblios]
Nuno Miguel Vasconcelos Rodrigues, Sara Guilherme Oliveira da Silva, Nickolas Papanikolaou. Deep learning models for clinical assessment of prostate cancer. PhD thesis, 2025 [Biblios]
Breno Sousa, Naercio Magaia, Sara Silva, Nguyen Thanh Hieu, Yong Liang Guan. Vehicle-to-Vehicle Flooding Datasets using MK5 On-board Unit Devices. Scientific Data, 11(1), Springer Science and Business Media LLC, 2024 [Biblios]
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, (8), American Society of Clinical Oncology (ASCO), 2024 [Biblios]
João Eduardo Batista, Nuno Miguel Rodrigues, Leonardo Vanneschi, Sara Silva. M6GP: Multiobjective Feature Engineering. In 2024 IEEE Congress on Evolutionary Computation (CEC), pages 1-8. IEEE, 2024 [Biblios]
João Eduardo Batista, Adam Kotaro Pindur, Hitoshi Iba, Sara Silva. Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. In 2024 IEEE Congress on Evolutionary Computation (CEC), pages 1-8. IEEE, 2024 [Biblios]
Giorgia Nadizar, Berfin Sakallioglu, Fraser Garrow, Sara Silva, Leonardo Vanneschi. Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution. Genetic Programming and Evolvable Machines, 25(2), Springer Science and Business Media LLC, 2024 [Biblios]
Rita T. Sousa, Sara Silva, Catia Pesquita. Explaining protein–protein interactions with knowledge graph-based semantic similarity. Computers in Biology and Medicine, 170, Elsevier BV, 2024 [Biblios]
Leonor Reigada, João Vasconcelos, Marco Rodrigues, João Pereira, Sara Silva, Carla Silva. Sustainability of GECCO 2023. ACM SIGEVOlution, 17(1):1-8, Association for Computing Machinery (ACM), 2024 [Biblios]
Nuno Miguel Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Raquel Moreno, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, Nickolas Papanikolaou. Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data. Computers in Biology and Medicine, 171, Elsevier BV, 2024 [Biblios]
Illya Bakurov, José Manuel Muñoz Contreras, Mauro Castelli, Nuno Rodrigues, Sara Silva, Leonardo Trujillo, Leonardo Vanneschi. Geometric semantic genetic programming with normalized and standardized random programs. Genetic Programming and Evolvable Machines, 25(1), Springer Science and Business Media LLC, 2024 [Biblios]
Menoita, Rui Miguel Santos, Silva, Sara Guilherme Oliveira da. Evolving financial trading agents using Vectorial Genetic Programming. Master's dissertation, 2024 [Biblios]
Batista, João Eduardo Silva Pombinho, Silva, Sara Guilherme Oliveira da. Evolving robust and readable land cover models for improved forest monitoring. PhD thesis, 2024 [Biblios]
Rita Isabel Torres de Sousa, Cátia Luísa Santana Calisto Pesquita, Sara Guilherme Oliveira da Silva. Semantic perspectives for learning over biomedical knowledge graphs. PhD thesis, 2024 [Biblios]
Nuno M. Rodrigues, João E. Batista, William La Cava, Leonardo Vanneschi, Sara Silva. Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. SN Computer Science, 5(1), Springer Science and Business Media LLC, 2023 [Biblios]
João E. Batista, Sara Silva. Evolutionary Machine Learning in Environmental Science, In Handbook of Evolutionary Machine Learning,Genetic and Evolutionary Computation, pages 563 - 590. Springer Nature Singapore, 2023 [Biblios]
Nuno Rodrigues, José Almeida, Sara Silva. Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation. ACM, 2023 [Biblios]
Philipp Fleck, Stephan Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller. Evolutionary Algorithms for Segment Optimization in Vectorial GP. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation. ACM, 2023 [Biblios]
Karina Brotto Rebuli, Mario Giacobini, Sara Silva, Leonardo Vanneschi. A Comparison of Structural Complexity Metrics for Explainable Genetic Programming. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation. ACM, 2023 [Biblios]
Giorgia Nadizar, Fraser Garrow, Berfin Sakallioglu, Lorenzo Canonne, Sara Silva, Leonardo Vanneschi. An Investigation of Geometric Semantic GP with Linear Scaling. In Proceedings of the Genetic and Evolutionary Computation Conference. ACM, 2023 [Biblios]
Breno Sousa, Naercio Magaia, Sara Silva. An Intelligent Intrusion Detection System for 5G-Enabled Internet of Vehicles. Electronics, 12(8), MDPI AG, 2023 [Biblios]
Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi, Nickolas Papanikolaou. A Comparative Study of Automated Deep Learning Segmentation Models for Prostate MRI. Cancers, 15(5), MDPI AG, 2023 [Biblios]
Leonardo Vanneschi, Sara Silva. Lectures on Intelligent Systems, Springer International Publishing, Natural Computing Series, 2023 [Biblios]
Leonardo Trujillo, Stephan M. Winkler, Sara Silva, Wolfgang Banzhaf. Genetic Programming Theory and Practice XIX, Springer Nature Singapore, Genetic and Evolutionary Computation, 2023 [Biblios]
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. In Applications of Evolutionary Computation,Lecture Notes in Computer Science, pages 656-671. Springer Nature Switzerland, 2023 [Biblios]
Rita T. Sousa, Sara Silva, Catia Pesquita. Supervised Biomedical Semantic Similarity. IEEE Access, 11, Institute of Electrical and Electronics Engineers (IEEE), 2023 [Biblios]
Rita T. Sousa, Sara Silva, Heiko Paulheim, Catia Pesquita. Biomedical Knowledge Graph Embeddings with Negative Statements. In The Semantic Web – ISWC 2023,Lecture Notes in Computer Science, pages 428-446. Springer Nature Switzerland, 2023 [Biblios]
Nuno M. Rodrigues, Katherine M. Malan, Gabriela Ochoa, Leonardo Vanneschi, Sara Silva. Fitness landscape analysis of convolutional neural network architectures for image classification. Information Sciences, 609, Elsevier BV, 2022 [Biblios]
Rita T. Sousa, Sara Silva, Catia Pesquita. Explaining Protein-Protein Interaction Predictions with Genetic Programming. In Evo* 2022 -- Late-Breaking Abstracts Volume, pages 30-33, 2022 [Biblios]
Joao E. Batista, Sara Silva. Comparative study of classifier performance using automatic feature construction by M3GP. In 2022 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2022 [Biblios]
João E. Batista, Sara Silva. Evolving a cloud-robust water index with genetic programming. In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM, 2022 [Biblios]
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, 43(9):3298-3319, Informa UK Limited, 2022 [Biblios]
Alcides Fonseca, Paulo Santos, Guilherme Espada, Sara Silva. Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming, In Genetic and Evolutionary Computation,Genetic Programming Theory and Practice XVIII, pages 45 - 62. Springer Singapore, 2022 [Biblios]
Nuno M. Rodrigues, João E. Batista, William La Cava, Leonardo Vanneschi, Sara Silva. SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming, In Genetic Programming, pages 68 - 84. Springer International Publishing, 2022 [Biblios]
Rita T. Sousa, Sara Silva, Catia Pesquita. The Supervised Semantic Similarity Toolkit, In The Semantic Web: ESWC 2022 Satellite Events,Lecture Notes in Computer Science, pages 42 - 46. Springer International Publishing, 2022 [Biblios]
Catarino, Jéssica Andreia Pinela, Silva, Sara, Papanikolaou, Nickolas. End-to-end Deep Learning Pipeline for breast cancer detection, segmentation and classification in contrast-enhanced spectral mammography. Master's dissertation, 2022 [Biblios]
Marques, Brian Manuel Monteiro, Silva, Sara Guilherme Oliveira da. Plotting Time: Exploring Visual Representations for Time Series Classification. Master's dissertation, 2022 [Biblios]
Ferreira, Tomás da Silva, Silva, Sara Guilherme Oliveira da. Automatic label correction while learning classification models with genetic programming. Master's dissertation, 2022 [Biblios]
Nuno M. Rodrigues, João E. Batista, Pedro Mariano, Vanessa Fonseca, Bernardo Duarte, Sara Silva. Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants. Biology, 10(9), MDPI AG, 2021 [Biblios]
Ana Barradas, Pedro M.P. Correia, Sara Silva, Pedro Mariano, Margarida Calejo Pires, Ana Rita Matos, Anabela Bernardes da Silva, Jorge Marques da Silva. Comparing Machine Learning Methods for Classifying Plant Drought Stress from Leaf Reflectance Spectra in Arabidopsis thaliana. Applied Sciences, 11(14), MDPI AG, 2021 [Biblios]
João E. Batista, Ana I. R. Cabral, Maria J. P. Vasconcelos, Leonardo Vanneschi, Sara Silva. Improving Land Cover Classification Using Genetic Programming for Feature Construction. Remote Sensing, 13(9), MDPI AG, 2021 [Biblios]
Fábio Miguel Simões Neves, Sara Silva, Anet Potgieter. Transferring Knowledge to improve classification of Tuberculosis in Chest X-rays. Master's dissertation, 2021 [Biblios]
Rita T Sousa, Sara Silva, Catia Pesquita. evoKGsim+: a framework for tailoring Knowledge Graph-based similarity for supervised learning. In Extended Semantic Web Conference, 2021 [Biblios]
Mauro Castelli, Fabiana Martins Clemente, Aleš Popovi?, Sara Silva, Leonardo Vanneschi. A Machine Learning Approach to Predict Air Quality in California. Complexity, 2020, Hindawi Limited, 2020 [Biblios]
Paulo Santos, Sara Silva, Alcides Fonseca. Refined typed genetic programming as a user interface for genetic programming, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020 [Biblios]
Joao E. Batista, Sara Silva. Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. In 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2020 [Biblios]
Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi. A Study of Fitness Landscapes for Neuroevolution. In 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2020 [Biblios]
Uriel López, Leonardo Trujillo, Sara Silva, Leonardo Vanneschi, Pierrick Legrand. Unlabeled multi-target regression with genetic programming. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference. ACM, 2020 [Biblios]
Irene Azzali, Leonardo Vanneschi, Illya Bakurov, Sara Silva, Marco Ivaldi, Mario Giacobini. Towards the use of vector based GP to predict physiological time series. Applied Soft Computing, 89, Elsevier BV, 2020 [Biblios]
Rita T. Sousa, Sara Silva, Catia Pesquita. Evolving knowledge graph similarity for supervised learning in complex biomedical domains. BMC Bioinformatics, 21(1), Springer Science and Business Media LLC, 2020 [Biblios]
Nuno Miguel Vasconcelos Rodrigues, Sara Guilherme Oliveira da Silva, Leonardo Vanneschi. Exploring neuroevolution fitness landscapes for optimization and generalization. Master's dissertation, 2020 [Biblios]
Nuno M. Rodrigues, João E. Batista, Sara Silva. Ensemble Genetic Programming, In Lecture Notes in Computer Science,Genetic Programming, pages 151 - 166. Springer International Publishing, 2020 [Biblios]
Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Trujillo. Is k Nearest Neighbours Regression Better Than GP?, In Lecture Notes in Computer Science,Genetic Programming, pages 244 - 261. Springer International Publishing, 2020 [Biblios]
Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi. A Study of Generalization and Fitness Landscapes for Neuroevolution. IEEE Access, 8, Institute of Electrical and Electronics Engineers (IEEE), 2020 [Biblios]
Alcides Fonseca, Paulo Santos, Sara Silva. The Usability Argument for Refinement Typed Genetic Programming. In Parallel Problem Solving from Nature – PPSN XVI,Lecture Notes in Computer Science, pages 18-32. Springer International Publishing, 2020 [Biblios]
Rita Isabel Torres de Sousa, Pesquita, Cátia, Silva, Sara Guilherme Oliveira da. Evolving meaning: using Genetic Programming to learn similarity perspectives for mining biomedical data. Master's dissertation, 2019 [Biblios]
Irene Azzali, Leonardo Vanneschi, Sara Silva, Illya Bakurov, Mario Giacobini. A Vectorial Approach to Genetic Programming, In Lecture Notes in Computer Science,Genetic Programming, pages 213 - 227. Springer International Publishing, 2019 [Biblios]
João E. Batista, Nuno M. Rodrigues, Sara Silva. To adapt or not to adapt, or the beauty of random settings. In Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '19. ACM Press, 2019 [Biblios]
Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi, Aleš Popovi?. The influence of population size in geometric semantic GP. Swarm and Evolutionary Computation, 32, Elsevier BV, 2017 [Biblios]
António Branco, Francisco Martins, Luís Moniz, Tiago Guerreiro, Sara Silva. Coleção de Exercícios e Problemas de Programação em Python – Programação 1, Departamento de Informática, Faculdade de Ciências, Universiade de Lisboa, 2016 [Biblios]