Sara Silva
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 |
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]
Menoita, Rui Miguel Santos, Silva, Sara Guilherme Oliveira da. Evolving financial trading agents using Vectorial Genetic Programming. Master's dissertation, 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]
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 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]
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]