MEMBER

Sara Silva

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ONGOING

Acronym Title Funding Entity Start Date End Date
THOR Computer Assisted Thoracic Assessment using POCUS FCT 01/03/2021 29/02/2024
MarCODE MarCODE MAR2020 01/07/2020 30/06/2023
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
OPTOX Development and validation of bio-optical ecotoxicological tests in marine phototrophs FCT 01/10/2018 30/03/2022
PREDICT Personalized therapy for RhEumatic DIseases via machine learning FCT 01/01/2019 31/12/2021

PAST

Acronym Title Funding Entity Start Date End Date
PERSEIDS PERSEIDS – PERSONALIZING CANCER THERAPY THROUGH INTEGRATED MODELING FCT 17/06/2016 16/12/2019
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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]
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]
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]