Ivo Gonçalves

发表

Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes

Daniele Ramazzotti, Stefano Beretta, Mauro Castelli, 2017, Complex..

Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks

Ivan Merelli, Daniele Ramazzotti, Mauro Castelli, 2017 .

Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks

Ivan Merelli, Daniele Ramazzotti, Stefano Beretta, 2017, bioRxiv.

An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach

Leonardo Vanneschi, Leonardo Trujillo, Luca Manzoni, 2016, IJCCI.

Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach

Carlos M. Fonseca, Mauro Castelli, Ivo Gonçalves, 2016, GECCO.

An evolutionary system for the prediction of high performance concrete strength based on semantic genetic programming

Leonardo Trujillo, Mauro Castelli, Ivo Gonçalves, 2017 .

An Exploration of Generalization and Overfitting in Genetic Programming: Standard and Geometric Semantic Approaches

Ivo Gonçalves, Ivo Gonçalves, 2016 .

A quantitative assessment of the effect of different algorithmic schemes to the task of learning the structure of Bayesian Networks pdf

Daniele Ramazzotti, Stefano Beretta, Mauro Castelli, 2017, ArXiv.

PSXO: population-wide semantic crossover

Leonardo Vanneschi, Krzysztof Krawiec, Alberto Moraglio, 2017, GECCO.

On the Generalization Ability of Geometric Semantic Genetic Programming

Carlos M. Fonseca, Ivo Gonçalves, Sara Silva, 2015, EuroGP.

An evolutionary system for ozone concentration forecasting

Leonardo Trujillo, Mauro Castelli, Ivo Gonçalves, 2016, Information Systems Frontiers.

Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting

Leonardo Vanneschi, Mauro Castelli, Ivo Gonçalves, 2013, EvoApplications.

A Hybrid End-to-End Approach Integrating Conditional Random Fields into CNNs for Prostate Cancer Detection on MRI

Mauro Castelli, Ivo Gonçalves, Leonardo Rundo, 2020, Applied Sciences.

Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine

Mauro Castelli, Ivo Gonçalves, Leonardo Rundo, 2019, GECCO.

Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI

Mauro Castelli, Ivo Gonçalves, Leonardo Rundo, 2019, GECCO.

Random Sampling Technique for Overfitting Control in Genetic Programming

Ivo Gonçalves, Sara Silva, João Manuel de Brito Carreiras, 2012, EuroGP.

Optimizing the management of smart home energy resources under different power cost scenarios

Álvaro Gomes, Carlos Henggeler Antunes, Ivo Gonçalves, 2019, Applied Energy.

Towards the development of a complete GP system on an FPGA using geometric semantic operators

Leonardo Vanneschi, Leonardo Trujillo, Mauro Castelli, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Pruning Techniques for Mixed Ensembles of Genetic Programming Models

Leonardo Vanneschi, Luca Manzoni, Mauro Castelli, 2018, EuroGP.

Optimizing residential energy resources with an improved multi-objective genetic algorithm based on greedy mutations

Álvaro Gomes, Carlos Henggeler Antunes, Ivo Gonçalves, 2018, GECCO.

Unveiling evolutionary algorithm representation with DU maps

Eric Medvet, Peter A. N. Bosman, Marco Virgolin, 2018, Genetic Programming and Evolvable Machines.

Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution

Ivan Merelli, Stefano Beretta, Mauro Castelli, 2018, J. Comput. Biol..

Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming

Carlos M. Fonseca, Ivo Gonçalves, Sara Silva, 2015, EPIA.

Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives

Mauro Castelli, Ivo Gonçalves, Marta Seca, 2019, GPTP.

Deep Learning Networks for Off-Line Handwritten Signature Recognition

Bernardete Ribeiro, Ivo Gonçalves, Sérgio Santos, 2011, CIARP.

Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data

Ivo Gonçalves, Sara Silva, Ivo Gonçalves, 2013, EuroGP.

Forecasting tourism demand for Lisbon’s region through a data mining approach

Ivo Gonçalves, Ana Cristina Costa, Hugo Ricardo, 2018 .

Unsure when to stop?: ask your semantic neighbors

Carlos M. Fonseca, Mauro Castelli, Ivo Gonçalves, 2017, GECCO.

Geometric semantic genetic programming for biomedical applications: A state of the art upgrade

Leonardo Vanneschi, Luca Manzoni, Mauro Castelli, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Neuroevolution under unimodal error landscapes: an exploration of the semantic learning machine algorithm

Mauro Castelli, Ivo Gonçalves, Jan-Benedikt Jagusch, 2018, GECCO.