Ivo Gonçalves

According to our database1, Ivo Gonçalves authored at least 26 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2020
Specializing Context-Free Grammars With a (1 + 1)-EA.
IEEE Trans. Evol. Comput., 2020

2019
Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives.
Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019

Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution.
J. Comput. Biol., 2018

Unveiling evolutionary algorithm representation with DU maps.
Genet. Program. Evolvable Mach., 2018

Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes.
Complex., 2018

Neuroevolution under unimodal error landscapes: an exploration of the semantic learning machine algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Optimizing residential energy resources with an improved multi-objective genetic algorithm based on greedy mutations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Pruning Techniques for Mixed Ensembles of Genetic Programming Models.
Proceedings of the Genetic Programming - 21st European Conference, 2018

2017
An evolutionary system for ozone concentration forecasting.
Inf. Syst. Frontiers, 2017

A quantitative assessment of the effect of different algorithmic schemes to the task of learning the structure of Bayesian Networks.
CoRR, 2017

PSXO: population-wide semantic crossover.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Unsure when to stop?: ask your semantic neighbors.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A serious game concept to enhance students' learning of statistics.
Proceedings of the 2017 4th Experiment@International Conference (exp.at'17), 2017

Geometric semantic genetic programming for biomedical applications: A state of the art upgrade.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Towards the development of a complete GP system on an FPGA using geometric semantic operators.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
On the Generalization Ability of Geometric Semantic Genetic Programming.
Proceedings of the Genetic Programming - 18th European Conference, 2015

Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming.
Proceedings of the Progress in Artificial Intelligence, 2015

2013
Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data.
Proceedings of the Genetic Programming - 16th European Conference, 2013

2012
Random Sampling Technique for Overfitting Control in Genetic Programming.
Proceedings of the Genetic Programming - 15th European Conference, 2012

2011
Deep Learning Networks for Off-Line Handwritten Signature Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011


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