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Using structural bias to analyse the behaviour of modular CMA-ES2022 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova
9citations -
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks2020 PLoS Computational Biology article Computer Science Neural Networks and Applications Open access
Matthieu Gilson, David Dahmen, Rubén Moreno‐Bote, Andrea Insabato, Moritz Helias
11citations -
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables2025 Journal of Statistical Software software-paper Computer Science Bayesian Methods and Mixture Models Open access
Sacha Morin, Robin Legault, Félix Laliberté, Zsuzsa Bakk, Charles‐Édouard Giguère, Roxane de la Sablonnière, +1 more
32citations -
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables2023 arXiv (Cornell University) software-paper Computer Science Bayesian Methods and Mixture Models Open access
Sacha Morin, Robin Legault, Zsuzsa Bakk, Charles‐Édouard Giguère, Roxane de la Sablonnière, Éric Lacourse
8citations -
Using Machine Learning Methods to Assess Module Performance Contribution in Modular Optimization Frameworks2024 Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Peter Korošec, Sašo Džeroski, Carola Doerr, Tome Eftimov
6citations
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