Sara Silva
ONGOING
| 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 | 01/07/2020 | 30/06/2023 |
PAST
| Acronym | Title | Funding Entity | Start Date | End Date |
|---|---|---|---|---|
| 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 |
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]
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]
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]
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]