Ivo Gonçalves

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 24

Top Topics

Bayesian Approaches

Magnetic Resonance Images

Prostate Cancer

Top Venues

GECCO (Companion)

Publications

Frederico J. J. B. Santos, Ivo Gonçalves, Mauro Castelli
Neuroevolution with box mutation: An adaptive and modular framework for evolving deep neural networks. Appl. Soft Comput. 147 (2023)
Luca Manzoni, Alberto Bartoli, Mauro Castelli, Ivo Gonçalves, Eric Medvet
Specializing Context-Free Grammars With a (1 + 1)-EA. IEEE Trans. Evol. Comput. 24 (5) (2020)
Paulo Lapa, Ivo Gonçalves, Leonardo Rundo, Mauro Castelli
Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine. GECCO (Companion) (2019)
Paulo Lapa, Ivo Gonçalves, Leonardo Rundo, Mauro Castelli
Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI. GECCO (Companion) (2019)
Ivo Gonçalves, Marta Seca, Mauro Castelli
Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives. GPTP (2019)
Ivo Gonçalves, Álvaro Gomes, Carlos Henggeler Antunes
Optimizing residential energy resources with an improved multi-objective genetic algorithm based on greedy mutations. GECCO (2018)
Stefano Beretta, Mauro Castelli, Ivo Gonçalves, Ivan Kel, Valentina Giansanti, Ivan Merelli
Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution. J. Comput. Biol. 25 (10) (2018)
Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Leonardo Vanneschi
Pruning Techniques for Mixed Ensembles of Genetic Programming Models. EuroGP (2018)
Eric Medvet, Marco Virgolin, Mauro Castelli, Peter A. N. Bosman, Ivo Gonçalves, Tea Tusar
Unveiling evolutionary algorithm representation with DU maps. Genet. Program. Evolvable Mach. 19 (3) (2018)
Stefano Beretta, Mauro Castelli, Ivo Gonçalves, Roberto Henriques, Daniele Ramazzotti
Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes. Complex. 2018 (2018)
Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Leonardo Vanneschi
Pruning Techniques for Mixed Ensembles of Genetic Programming Models. CoRR (2018)
Jan-Benedikt Jagusch, Ivo Gonçalves, Mauro Castelli
Neuroevolution under unimodal error landscapes: an exploration of the semantic learning machine algorithm. GECCO (Companion) (2018)
Carlos A. Goribar Jiménez, Yazmín Maldonado, Leonardo Trujillo, Mauro Castelli, Ivo Gonçalves, Leonardo Vanneschi
Towards the development of a complete GP system on an FPGA using geometric semantic operators. CEC (2017)
Celina P. Leão, Filomena O. Soares, Vítor H. Carvalho, Sérgio F. Lopes, Ivo Gonçalves
A serious game concept to enhance students' learning of statistics. exp.at (2017)
Mauro Castelli, Ivo Gonçalves, Leonardo Trujillo, Ales Popovic
An evolutionary system for ozone concentration forecasting. Inf. Syst. Frontiers 19 (5) (2017)
Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonçalves
PSXO: population-wide semantic crossover. GECCO (Companion) (2017)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli
Unsure When to Stop? Ask Your Semantic Neighbors. CoRR (2017)
Stefano Beretta, Mauro Castelli, Ivo Gonçalves, Ivan Merelli, Daniele Ramazzotti
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks. CoRR (2017)
Leonardo Vanneschi, Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Sara Silva
Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. CEC (2017)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli
Unsure when to stop?: ask your semantic neighbors. GECCO (2017)
Stefano Beretta, Mauro Castelli, Ivo Gonçalves, Daniele Ramazzotti
A quantitative assessment of the effect of different algorithmic schemes to the task of learning the structure of Bayesian Networks. CoRR (2017)
Stefano Beretta, Mauro Castelli, Ivo Gonçalves, Ivan Merelli, Daniele Ramazzotti
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks. IJCCI (ECTA) (2016)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli
Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach. GECCO (Companion) (2016)
Mauro Castelli, Luca Manzoni, Ivo Gonçalves, Leonardo Vanneschi, Leonardo Trujillo, Sara Silva
An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. IJCCI (ECTA) (2016)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca
Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming. EPIA (2015)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca
On the Generalization Ability of Geometric Semantic Genetic Programming. EuroGP (2015)
Sara Silva, Vijay Ingalalli, Susana Vinga, João Manuel de Brito Carreiras, Joana B. Melo, Mauro Castelli, Leonardo Vanneschi, Ivo Gonçalves, José Caldas
Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting. EvoApplications (2013)
Ivo Gonçalves, Sara Silva
Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data. EuroGP (2013)
Ivo Gonçalves, Sara Silva, Joana B. Melo, João Manuel de Brito Carreiras
Random Sampling Technique for Overfitting Control in Genetic Programming. EuroGP (2012)
Bernardete Ribeiro, Ivo Gonçalves, Sérgio Santos, Alexander Kovacec
Deep Learning Networks for Off-Line Handwritten Signature Recognition. CIARP (2011)