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2020 – today
- 2023
[j6]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: 110767 (2023)- 2020
- [j5]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): 960-973 (2020)
2010 – 2019
- 2019
- [c20]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: 381-382 - [c19]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: 1837-1845 - [c18]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: 39-62 - 2018
- [j4]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: 1591878:1-1591878:12 (2018) - [j3]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): 351-389 (2018) - [j2]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): 1091-1105 (2018) - [c17]Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Leonardo Vanneschi:
Pruning Techniques for Mixed Ensembles of Genetic Programming Models. EuroGP 2018: 52-67 - [c16]Jan-Benedikt Jagusch, Ivo Gonçalves, Mauro Castelli:
Neuroevolution under unimodal error landscapes: an exploration of the semantic learning machine algorithm. GECCO (Companion) 2018: 159-160 - [c15]Ivo Gonçalves, Álvaro Gomes, Carlos Henggeler Antunes:
Optimizing residential energy resources with an improved multi-objective genetic algorithm based on greedy mutations. GECCO 2018: 1246-1253 - [i4]Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Leonardo Vanneschi:
Pruning Techniques for Mixed Ensembles of Genetic Programming Models. CoRR abs/1801.07668 (2018) - 2017
- [j1]Mauro Castelli, Ivo Gonçalves, Leonardo Trujillo, Ales Popovic:
An evolutionary system for ozone concentration forecasting. Inf. Syst. Frontiers 19(5): 1123-1132 (2017) - [c14]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: 177-184 - [c13]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: 1932-1939 - [c12]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: 187-190 - [c11]Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonçalves:
PSXO: population-wide semantic crossover. GECCO (Companion) 2017: 257-258 - [c10]Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli:
Unsure when to stop?: ask your semantic neighbors. GECCO 2017: 929-936 - [i3]Stefano Beretta, Mauro Castelli, Ivo Gonçalves, Ivan Merelli, Daniele Ramazzotti:
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks. CoRR abs/1703.03041 (2017) - [i2]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 abs/1704.08676 (2017) - [i1]Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli:
Unsure When to Stop? Ask Your Semantic Neighbors. CoRR abs/1706.06195 (2017) - 2016
- [c9]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: 99-100 - [c8]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: 201-208 - [c7]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: 217-224 - 2015
- [c6]Ivo Gonçalves, Sara Silva, Carlos M. Fonseca:
Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming. EPIA 2015: 280-285 - [c5]Ivo Gonçalves, Sara Silva, Carlos M. Fonseca:
On the Generalization Ability of Geometric Semantic Genetic Programming. EuroGP 2015: 41-52 - 2013
- [c4]Ivo Gonçalves, Sara Silva:
Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data. EuroGP 2013: 73-84 - [c3]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: 407-417 - 2012
- [c2]Ivo Gonçalves, Sara Silva, Joana B. Melo, João Manuel de Brito Carreiras:
Random Sampling Technique for Overfitting Control in Genetic Programming. EuroGP 2012: 218-229 - 2011
- [c1]Bernardete Ribeiro, Ivo Gonçalves, Sérgio Santos, Alexander Kovacec:
Deep Learning Networks for Off-Line Handwritten Signature Recognition. CIARP 2011: 523-532
Coauthor Index
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