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2020
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2019

BIR: A Method for Selecting the Best Interpretable Multidimensional Scaling Rotation using External Variables

Marion, R., Bibal, A. & Frenay, B., 4 Feb 2019, In : Neurocomputing. 342, p. 83-96 14 p.

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2015

Reinforced extreme learning machines for fast robust regression in the presence of outliers

Frenay, B. & Verleysen, M., 17 Dec 2015, In : IEEE Transactions on Cybernetics. PP, 99, p. 3351-3363 7358117.

Research output: Contribution to journalArticle

2014

Classification in the presence of label noise: A survey

Frénay, B. & Verleysen, M., 2014, In : IEEE Transactions on Neural Networks and Learning Systems. 25, 5, p. 845-869 25 p., 6685834.

Research output: Contribution to journalArticle

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Estimating Mutual information for feature selection in the presence of label noise

Frénay, B., Doquire, G. & Verleysen, M., Mar 2014, In : Computational Statistics and Data Analysis. 71, p. 832-848 17 p.

Research output: Contribution to journalArticle

Pointwise probability reinforcements for robust statistical inference

Frénay, B. & Verleysen, M., 2014, In : Neural Networks. 50, p. 124-141 18 p.

Research output: Contribution to journalArticle

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2013

Feature selection for nonlinear models with extreme learning machines

Frénay, B., van Heeswijk, M., Miche, Y., Verleysen, M. & Lendasse, A., 2013, In : Neurocomputing. 102, p. 111-124 14 p.

Research output: Contribution to journalArticle

Is mutual information adequate for feature selection in regression?

Frénay, B., Doquire, G. & Verleysen, M., Dec 2013, In : Neural Networks. 48, p. 1-7 7 p.

Research output: Contribution to journalArticle

Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification

Frénay, B., Doquire, G. & Verleysen, M., 18 Jul 2013, In : Neurocomputing. 112, p. 64-78 15 p.

Research output: Contribution to journalArticle

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2011

Ensembles of local linear models for bankruptcy analysis and prediction

Kainulainen, L., Miche, Y., Eirola, E., Yu, Q., Frenay, B., Séverin, E. & Lendasse, A., 2011, In : Case Studies in Business, Industry and Government Statistics. 4, 2, p. 116–133

Research output: Contribution to journalArticle

Parameter-insensitive kernel in extreme learning for non-linear support vector regression

Frénay, B. & Verleysen, M., Sep 2011, In : Neurocomputing. 74, 16, p. 2526-2531 6 p.

Research output: Contribution to journalArticle

2010

Clustering patterns of urban built-up areas with curves of fractal scaling behaviour

Thomas, I., Frankhauser, P., Frenay, B., Verleysen, M. & Samos-Matisse, S. M., 2010, In : Environment and Planning B: Planning & Design. 37, 5, p. 942-954 13 p.

Research output: Contribution to journalArticle

2008

QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games

Frénay, B. & Saerens, M., 2008, In : Neurocomputing. 72, 7-9, p. 1494-1507 14 p.

Research output: Contribution to journalArticle