Deep Learning Networks for Off-Line Handwritten Signature Recognition. - Bernardete Ribeiro; Ivo Gonçalves; Sérgio Santos; Alexander Kovacec (CIARP, 2011)

Random Sampling Technique for Overfitting Control in Genetic Programming. - Ivo Gonçalves; Sara Silva; Joana B. Melo; João Manuel de Brito Carreiras (EuroGP, 2012)

Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data. - Ivo Gonçalves; Sara Silva (EuroGP, 2013)

Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting. - Sara Silva; Vijay Ingalalli; Susana Vinga; João Manuel de Brito Carreiras; Joana B. Melo; Mauro Castelli; Leonardo Vanneschi; Ivo Gonçalves; José Caldas (EvoApplications, 2013)

Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca (EPIA, 2015)

On the Generalization Ability of Geometric Semantic Genetic Programming. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca (EuroGP, 2015)

Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca; Mauro Castelli (GECCO (Companion), 2016)

Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks. - Stefano Beretta 001; Mauro Castelli; Ivo Gonçalves; Ivan Merelli; Daniele Ramazzotti (IJCCI (ECTA), 2016)

An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. - Mauro Castelli; Luca Manzoni; Ivo Gonçalves; Leonardo Vanneschi; Leonardo Trujillo; Sara Silva (IJCCI (ECTA), 2016)

Towards the development of a complete GP system on an FPGA using geometric semantic operators. - Carlos A. Goribar Jiménez; Yazmín Maldonado; Leonardo Trujillo; Mauro Castelli; Ivo Gonçalves; Leonardo Vanneschi (CEC, 2017)

Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. - Leonardo Vanneschi; Mauro Castelli; Ivo Gonçalves; Luca Manzoni; Sara Silva (CEC, 2017)

A serious game concept to enhance students' learning of statistics. - Celina P. Leão; Filomena O. Soares; Vítor H. Carvalho; Sérgio F. Lopes; Ivo Gonçalves (exp.at, 2017)

Unsure when to stop?: ask your semantic neighbors. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca; Mauro Castelli (GECCO, 2017)

PSXO: population-wide semantic crossover. - Leonardo Vanneschi; Mauro Castelli; Luca Manzoni; Krzysztof Krawiec; Alberto Moraglio; Sara Silva; Ivo Gonçalves (GECCO (Companion), 2017)

A quantitative assessment of the effect of different algorithmic schemes to the task of learning the structure of Bayesian Networks. - Stefano Beretta 001; Mauro Castelli; Ivo Gonçalves; Daniele Ramazzotti (CoRR, 2017)

An evolutionary system for ozone concentration forecasting. - Mauro Castelli; Ivo Gonçalves; Leonardo Trujillo; Ales Popovic (Inf. Syst. Frontiers, 2017)

Pruning Techniques for Mixed Ensembles of Genetic Programming Models. - Mauro Castelli; Ivo Gonçalves; Luca Manzoni; Leonardo Vanneschi (EuroGP, 2018)

Optimizing residential energy resources with an improved multi-objective genetic algorithm based on greedy mutations. - Ivo Gonçalves; Álvaro Gomes; Carlos Henggeler Antunes (GECCO, 2018)

Neuroevolution under unimodal error landscapes: an exploration of the semantic learning machine algorithm. - Jan-Benedikt Jagusch; Ivo Gonçalves; Mauro Castelli (GECCO (Companion), 2018)

Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes. - Stefano Beretta 001; Mauro Castelli; Ivo Gonçalves; Roberto Henriques; Daniele Ramazzotti (Complex., 2018)

Unveiling evolutionary algorithm representation with DU maps. - Eric Medvet; Marco Virgolin; Mauro Castelli; Peter A. N. Bosman; Ivo Gonçalves; Tea Tusar (Genet. Program. Evolvable Mach., 2018)

Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution. - Stefano Beretta 001; Mauro Castelli; Ivo Gonçalves; Ivan Kel; Valentina Giansanti; Ivan Merelli (J. Comput. Biol., 2018)

Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine. - Paulo Lapa; Ivo Gonçalves; Leonardo Rundo; Mauro Castelli (GECCO (Companion), 2019)

Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI. - Paulo Lapa; Ivo Gonçalves; Leonardo Rundo; Mauro Castelli (GECCO (Companion), 2019)

Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives. - Ivo Gonçalves; Marta Seca; Mauro Castelli (GPTP, 2019)

Specializing Context-Free Grammars With a (1 + 1)-EA. - Luca Manzoni; Alberto Bartoli; Mauro Castelli; Ivo Gonçalves; Eric Medvet (IEEE Trans. Evol. Comput., 2020)

Neuroevolution with box mutation: An adaptive and modular framework for evolving deep neural networks. - Frederico J. J. B. Santos; Ivo Gonçalves; Mauro Castelli (Appl. Soft Comput., 2023)