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Publications for sgsilva
(95)
2025
Complexity, interpretability and robustness of GP-based feature engineering in remote sensing
(2025)
João E. Batista
Adam K. Pindur
Ana I.R. Cabral
Hitoshi Iba
Sara Silva
Journal articles
2025
Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning-assisted Prostate Cancer Classification Using Multiparametric MRI
(2025)
José Guilherme de Almeida et al., with 14 authors including:
Sara Silva
Journal articles
2025
Deep learning models for clinical assessment of prostate cancer
(2025)
Nuno Miguel Vasconcelos Rodrigues
Sara Guilherme Oliveira da Silva
Nickolas Papanikolaou
Academic documents
2024
Vehicle-to-Vehicle Flooding Datasets using MK5 On-board Unit Devices
(2024)
Breno Sousa
Naercio Magaia
Sara Silva
Nguyen Thanh Hieu
Yong Liang Guan
Journal articles
2024
Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction
(2024)
Nuno M. Rodrigues et al., with 9 authors including:
Sara Silva
Journal articles
2024
Measuring Structural Complexity of GP Models for Feature Engineering over the Generations
(2024)
João Eduardo Batista
Adam Kotaro Pindur
Hitoshi Iba
Sara Silva
Conference papers
2024
M6GP: Multiobjective Feature Engineering
(2024)
João Eduardo Batista
Nuno Miguel Rodrigues
Leonardo Vanneschi
Sara Silva
Conference papers
2024
Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution
(2024)
Giorgia Nadizar
Berfin Sakallioglu
Fraser Garrow
Sara Silva
Leonardo Vanneschi
Journal articles
2024
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data
(2024)
Nuno Miguel Rodrigues et al., with 16 authors including:
Sara Silva
Journal articles
2024
Sustainability of GECCO 2023
(2024)
Leonor Reigada et al., with 6 authors including:
Sara Silva
Journal articles
2024
Explaining protein–protein interactions with knowledge graph-based semantic similarity
(2024)
Rita T. Sousa
Sara Silva
Catia Pesquita
Journal articles
2024
Geometric semantic genetic programming with normalized and standardized random programs
(2024)
Illya Bakurov et al., with 7 authors including:
Sara Silva
Journal articles
2024
Evolving robust and readable land cover models for improved forest monitoring
(2024)
Batista, João Eduardo Silva Pombinho
Silva, Sara Guilherme Oliveira da
Academic documents
2024
Semantic perspectives for learning over biomedical knowledge graphs
(2024)
Rita Isabel Torres de Sousa
Cátia Luísa Santana Calisto Pesquita
Sara Guilherme Oliveira da Silva
Academic documents
2024
Evolving financial trading agents using Vectorial Genetic Programming
(2024)
Menoita, Rui Miguel Santos
Silva, Sara Guilherme Oliveira da
Academic documents
2023
Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming
(2023)
Nuno M. Rodrigues
João E. Batista
William La Cava
Leonardo Vanneschi
Sara Silva
Journal articles
2023
Overview of GECCO 2023
(2023)
Sara Silva
Luís Paquete
Journal articles
2023
Evolutionary Machine Learning in Environmental Science
(2023)
João E. Batista
Sara Silva
Book chapters
2023
Explainable Representations for Relation Prediction in Knowledge Graphs
(2023)
Rita T. Sousa
Sara Silva
Catia Pesquita
Conference papers
2023
A Comparison of Structural Complexity Metrics for Explainable Genetic Programming
(2023)
Karina Brotto Rebuli
Mario Giacobini
Sara Silva
Leonardo Vanneschi
Conference papers
2023
Evolutionary Algorithms for Segment Optimization in Vectorial GP
(2023)
Philipp Fleck et al., with 6 authors including:
Sara Silva
Conference papers
2023
Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming
(2023)
Nuno Rodrigues
José Almeida
Sara Silva
Conference papers
2023
An Investigation of Geometric Semantic GP with Linear Scaling
(2023)
Giorgia Nadizar et al., with 6 authors including:
Sara Silva
Conference papers
2023
An Intelligent Intrusion Detection System for 5G-Enabled Internet of Vehicles
(2023)
Breno Sousa
Naercio Magaia
Sara Silva
Journal articles
2023
A Comparative Study of Automated Deep Learning Segmentation Models for Prostate MRI
(2023)
Nuno M. Rodrigues
Sara Silva
Leonardo Vanneschi
Nickolas Papanikolaou
Journal articles
2023
Lectures on Intelligent Systems
(2023)
Leonardo Vanneschi
Sara Silva
Books
2023
Biomedical Knowledge Graph Embeddings with Negative Statements
(2023)
Rita T. Sousa
Sara Silva
Heiko Paulheim
Catia Pesquita
Conference papers
2023
Supervised Biomedical Semantic Similarity
(2023)
Rita T. Sousa
Sara Silva
Catia Pesquita
Journal articles
2023
Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers
(2023)
Pedro Carvalho et al., with 6 authors including:
Sara Silva
Conference papers
2023
Genetic Programming Theory and Practice XIX
(2023)
Leonardo Trujillo
Stephan M. Winkler
Sara Silva
Wolfgang Banzhaf
Books
2023
Plotting Time: Exploring Visual Representations for Time Series Classification
(2023)
Marques, Brian Manuel Monteiro
Silva, Sara Guilherme Oliveira da
Academic documents
2023
Automatic label correction while learning classification models with genetic programming
(2023)
Ferreira, Tomás da Silva
Silva, Sara Guilherme Oliveira da
Academic documents
2022
Fitness landscape analysis of convolutional neural network architectures for image classification
(2022)
Nuno M. Rodrigues
Katherine M. Malan
Gabriela Ochoa
Leonardo Vanneschi
Sara Silva
Journal articles
2022
Explaining Protein-Protein Interaction Predictions with Genetic Programming
(2022)
Rita T. Sousa
Sara Silva
Catia Pesquita
Conference papers
2022
Comparative study of classifier performance using automatic feature construction by M3GP
(2022)
Joao E. Batista
Sara Silva
Conference papers
2022
Evolving a cloud-robust water index with genetic programming
(2022)
João E. Batista
Sara Silva
Conference papers
2022
Optical time series for the separation of land cover types with similar spectral signatures: cocoa agroforest and forest
(2022)
João E. Batista et al., with 7 authors including:
Sara Silva
Journal articles
2022
Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming
(2022)
Alcides Fonseca
Paulo Santos
Guilherme Espada
Sara Silva
Book chapters
2022
The Supervised Semantic Similarity Toolkit
(2022)
Rita T. Sousa
Sara Silva
Catia Pesquita
Book chapters
2022
SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming
(2022)
Nuno M. Rodrigues
João E. Batista
William La Cava
Leonardo Vanneschi
Sara Silva
Conference papers
2022
End-to-end Deep Learning Pipeline for breast cancer detection, segmentation and classification in contrast-enhanced spectral mammography
(2022)
Catarino, Jéssica Andreia Pinela
Silva, Sara
Papanikolaou, Nickolas
Academic documents
2021
Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants
(2021)
Nuno M. Rodrigues et al., with 6 authors including:
Pedro Mariano
Vanessa Fonseca
Bernardo Duarte
Sara Silva
Journal articles
2021
Comparing Machine Learning Methods for Classifying Plant Drought Stress from Leaf Reflectance Spectra in Arabidopsis thaliana
(2021)
Ana Barradas et al., with 8 authors including:
Sara Silva
Pedro Mariano
Anabela Bernardes da Silva
Jorge Marques da Silva
Journal articles
2021
Improving Land Cover Classification Using Genetic Programming for Feature Construction
(2021)
João E. Batista
Ana I. R. Cabral
Maria J. P. Vasconcelos
Leonardo Vanneschi
Sara Silva
Journal articles
2021
Transferring Knowledge to improve classification of Tuberculosis in Chest X-rays
(2021)
Fábio Miguel Simões Neves
Sara Silva
Anet Potgieter
Academic documents
2021
evoKGsim+: a framework for tailoring Knowledge Graph-based similarity for supervised learning
(2021)
Rita T Sousa
Sara Silva
Catia Pesquita
Conference papers
2020
A Machine Learning Approach to Predict Air Quality in California
(2020)
Mauro Castelli
Fabiana Martins Clemente
Aleš Popovi?
Sara Silva
Leonardo Vanneschi
Journal articles
2020
Refined typed genetic programming as a user interface for genetic programming
(2020)
Paulo Santos
Sara Silva
Alcides Fonseca
Other
2020
A Study of Fitness Landscapes for Neuroevolution
(2020)
Nuno M. Rodrigues
Sara Silva
Leonardo Vanneschi
Conference papers
2020
Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP
(2020)
Joao E. Batista
Sara Silva
Conference papers
2020
Unlabeled multi-target regression with genetic programming
(2020)
Uriel López
Leonardo Trujillo
Sara Silva
Leonardo Vanneschi
Pierrick Legrand
Conference papers
2020
Towards the use of vector based GP to predict physiological time series
(2020)
Irene Azzali et al., with 6 authors including:
Sara Silva
Journal articles
2020
Evolving knowledge graph similarity for supervised learning in complex biomedical domains
(2020)
Rita T. Sousa
Sara Silva
Catia Pesquita
Journal articles
2020
A Study of Generalization and Fitness Landscapes for Neuroevolution
(2020)
Nuno M. Rodrigues
Sara Silva
Leonardo Vanneschi
Journal articles
2020
Is k Nearest Neighbours Regression Better Than GP?
(2020)
Leonardo Vanneschi
Mauro Castelli
Luca Manzoni
Sara Silva
Leonardo Trujillo
Book chapters
2020
Ensemble Genetic Programming
(2020)
Nuno M. Rodrigues
João E. Batista
Sara Silva
Book chapters
2020
Exploring neuroevolution fitness landscapes for optimization and generalization
(2020)
Nuno Miguel Vasconcelos Rodrigues
Sara Guilherme Oliveira da Silva
Leonardo Vanneschi
Academic documents
2020
The Usability Argument for Refinement Typed Genetic Programming
(2020)
Alcides Fonseca
Paulo Santos
Sara Silva
Conference papers
2019
Transfer learning in constructive induction with Genetic Programming
(2019)
Luis Muñoz
Leonardo Trujillo
Sara Silva
Journal articles
2019
Multidimensional genetic programming for multiclass classification
(2019)
William La Cava et al., with 6 authors including:
Sara Silva
Journal articles
2019
To adapt or not to adapt, or the beauty of random settings
(2019)
João E. Batista
Nuno M. Rodrigues
Sara Silva
Conference papers
2019
A Vectorial Approach to Genetic Programming
(2019)
Irene Azzali
Leonardo Vanneschi
Sara Silva
Illya Bakurov
Mario Giacobini
Book chapters
2019
Evolving meaning: using Genetic Programming to learn similarity perspectives for mining biomedical data
(2019)
Rita Isabel Torres de Sousa
Pesquita, Cátia
Silva, Sara Guilherme Oliveira da
Academic documents
2018
Evolving multidimensional transformations for symbolic regression with M3GP
(2018)
Luis Muñoz
Leonardo Trujillo
Sara Silva
Mauro Castelli
Leonardo Vanneschi
Journal articles
2018
Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees
(2018)
Ana I.R. Cabral
Sara Silva
Pedro C. Silva
Leonardo Vanneschi
Maria J. Vasconcelos
Journal articles
2018
A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting
(2018)
Sara Silva
Leonardo Vanneschi
Ana I.R. Cabral
Maria J. Vasconcelos
Journal articles
2018
A multidimensional genetic programming approach for identifying epsistatic gene interactions
(2018)
William La Cava et al., with 6 authors including:
Sara Silva
Conference papers
2018
Local Search is Underused in Genetic Programming
(2018)
Leonardo Trujillo et al., with 9 authors including:
Sara Silva
Book chapters
2017
PSXO - population-wide semantic crossover
(2017)
Leonardo Vanneschi et al., with 7 authors including:
Sara Silva
Conference papers
2017
Geometric semantic genetic programming for biomedical applications: A state of the art upgrade
(2017)
Leonardo Vanneschi
Mauro Castelli
Ivo Goncalves
Luca Manzoni
Sara Silva
Conference papers
2017
The influence of population size in geometric semantic GP
(2017)
Mauro Castelli
Luca Manzoni
Sara Silva
Leonardo Vanneschi
Aleš Popovi?
Journal articles
2017
Unsure when to stop?
(2017)
Ivo Gonçalves
Sara Silva
Carlos M. Fonseca
Mauro Castelli
Conference papers
2017
RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming
(2017)
Uriel López et al., with 6 authors including:
Sara Silva
Book chapters
2017
Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification
(2017)
William La Cava
Sara Silva
Leonardo Vanneschi
Lee Spector
Jason Moore
Book chapters
2016
Evolving genetic programming classifiers with novelty search
(2016)
Enrique Naredo
Leonardo Trujillo
Pierrick Legrand
Sara Silva
Luis Muñoz
Journal articles
2016
neat Genetic Programming: Controlling bloat naturally
(2016)
Leonardo Trujillo
Luis Muñoz
Edgar Galván-López
Sara Silva
Journal articles
2016
A Machine Learning Approach for the Integration of miRNA-Target Predictions
(2016)
Stefano Beretta et al., with 8 authors including:
Sara Silva
Conference papers
2016
Arbitrarily Close Alignments in the Error Space
(2016)
Ivo Gonçalves
Sara Silva
Carlos M. Fonseca
Mauro Castelli
Conference papers
2016
An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach
(2016)
Mauro Castelli et al., with 6 authors including:
Sara Silva
Conference papers
2016
Multiclass Classification Through Multidimensional Clustering
(2016)
Sara Silva et al., with 6 authors including:
Sara Silva
Book chapters
2016
Coleção de Exercícios e Problemas de Programação em Python - Programação 1
(2016)
António Branco
Francisco Martins
Luís Moniz
Tiago Guerreiro
Sara Silva
Other
2015
Self-tuning geometric semantic Genetic Programming
(2015)
Mauro Castelli
Luca Manzoni
Leonardo Vanneschi
Sara Silva
Aleš Popovi?
Journal articles
2015
Geometric Semantic Genetic Programming with Local Search
(2015)
Mauro Castelli et al., with 6 authors including:
Sara Silva
Conference papers
2015
Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming
(2015)
Ivo Gonçalves
Sara Silva
Carlos M. Fonseca
Conference papers
2015
M3GP – Multiclass Classification with GP
(2015)
Muñoz L
Silva S
Trujillo L.
Book chapters
2015
Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming
(2015)
Ivo Gonçalves
Sara Silva
Carlos M. Fonseca
Book chapters
2015
On the Generalization Ability of Geometric Semantic Genetic Programming
(2015)
Ivo Gonçalves
Sara Silva
Carlos M. Fonseca
Book chapters
2015
M3GP – Multiclass Classification with GP
(2015)
Luis Muñoz
Sara Silva
Leonardo Trujillo
Book chapters
2015
How to Exploit Alignment in the Error Space: Two Different GP Models
(2015)
Mauro Castelli
Leonardo Vanneschi
Sara Silva
Stefano Ruberto
Book chapters
2014
A C++ framework for geometric semantic genetic programming
(2014)
Mauro Castelli
Sara Silva
Leonardo Vanneschi
Journal articles
2014
A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems
(2014)
Vijay Ingalalli
Sara Silva
Mauro Castelli
Leonardo Vanneschi
Book chapters
2014
Geometric Selective Harmony Search
(2014)
Mauro Castelli
Sara Silva
Luca Manzoni
Leonardo Vanneschi
Journal articles
2014
Prediction of the Unified Parkinson?s Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operator
(2014)
Mauro Castelli
Leonardo Vanneschi
Sara Silva
Journal articles
2014
A survey of semantic methods in genetic programming
(2014)
Leonardo Vanneschi
Mauro Castelli
Sara Silva
Journal articles
2014
ESAGP – A Semantic GP Framework Based on Alignment in the Error Space
(2014)
Stefano Ruberto
Leonardo Vanneschi
Mauro Castelli
Sara Silva
Books