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Displaying 9 results.

- Speech
About Filter Criteria for Feature Selection in Regression
Degeest, Alexandra[UCL] Verleysen, Michel[UCL] Frénay, Benoît (2019) IWANN 2019 — Gran Canaria
- Speech
Smoothness Bias in Relevance Estimators for Feature Selection in Regression
Degeest, Alexandra[UCL - Haute-Ecole Bruxelles Brabant - ISIB, Brussels, Belgium] Verleysen, Michel[UCL] Frénay, Benoît (2018) 14th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2018) — Rhodes (Greece)
- Speech
Comparison Between Filter Criteria for Feature Selection in Regression
Degeest, Alexandra[UCL] Verleysen, Michel[UCL] Frénay, Benoît (2019) ICANN 2019 — Munich
- Journal article
BIOT: Explaining Multidimensional Nonlinear MDS Embeddings using the Best Interpretable Orthogonal Transformation
Bibal, Adrien Marion, Rebecca[UCL] von Sachs, Rainer[UCL] Frénay, Benoît (2021) Neurocomputing — Vol. 453, p. 109-118 (2021)
- Speech
Finding the most interpretable MDS rotation for sparse linear models based on external features
BIBAL, Adrien Marion, Rebecca[UCL] Frénay, Benoît (2018) European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning — Bruges, Belgium
- Journal article
BIR: A method for selecting the best interpretable multidimensional scaling rotation using external variables
Marion, Rebecca[UCL] BIBAL, Adrien Frénay, Benoît (2019) Neurocomputing — Vol. 342, no.1, p. 83-96 (2019)
- Journal article
Reading grid for feature selection relevance criteria in regression
Degeest, Alexandra[UCL] Frénay, Benoît Verleysen, Michel[UCL] (2021) Pattern Recognition Letters — Vol. 148, p. 92-99 (2021)
- Dissertation
Uncertainty and label noise in machine learning
Frénay, Benoît[UCL] (2013)
- Journal article
QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games
Frénay, Benoît[UCL] Saerens, Marco[UCL] (2008) Neurocomputing — Vol. 72, no. 7-9, p. 1494-1507 (2008)