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Research Output

2008

Emission Modelling for Supervised ECG Segmentation using Finite Differences: Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering - MBEC 2008

Frénay, B., de Lannoy, G. & Verleysen, M., 2008, Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering - MBEC 2008. Vander Sloten, J., Nyssen, M., Verdonck, P. & Haueisen, J. (eds.). Springer Verlag, Vol. 22. p. 1212-1216 5 p.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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

Supervised ECG Delineation Using the Wavelet Transform and Hidden Markov Models: Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008)

de Lannoy, G., Frénay, B., Verleysen, M. & Delbeke, J., 2008, Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008). Vander Sloten, J., Nyssen, M., Verdonck, P. & Haueisen, J. (eds.). Springer Verlag, Vol. 22. p. 22-25 4 p.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

2009

Clustering fractal urban patterns with curves of scaling behavior: Proceedings of the 49th Congress of the European Regional Science Association "Territorial cohesion of Europe and integrative planning" (ERSA 2009)

Thomas, I., Frankhauser, P., Frénay, B. & Verleysen, M., 2009, Proceedings of the 49th Congress of the European Regional Science Association "Territorial cohesion of Europe and integrative planning" (ERSA 2009).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Clustering patterns of urban builtup areas with curves of fractal scaling behavior

THOMAS, I., Frankhauser, P., Frenay, B. & Verleysen, M., 2009, Proc. ASRDLF.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Improving the transition modelling in hidden Markov models for ECG segmentation: Proceedings of the 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009)

Frénay, B., de Lannoy, G. & Verleysen, M., 2009, ESANN 2009 Proceedings, 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning. p. 141-146 6 p.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games: Proceedings of the 16th European Symposium on Artificial Neural Networks

Frénay, B. & Saerens, M., 2009, Proceedings of the 16th European Symposium on Artificial Neural Networks. p. 137-142 6 p.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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

Using SVMs with randomised feature spaces: an extreme learning approach: Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010)

Frénay, B. & Verleysen, M., 2010, Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010. p. 315-320 6 p.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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

Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs

Frénay, B., de Lannoy, G. & Verleysen, M., 2011, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 6911 LNAI. p. 455-470 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6911 LNAI, no. PART 1).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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

2012

On the Potential Inadequacy of Mutual Information for Feature Selection: Proceedings of the 20th International Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012)

Frénay, B., Doquire, G. & Verleysen, M., 2012, Proceedings of the 20th International Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012). i6doc.com

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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

Mutual Information: an Adequate Tool for Feature Selection: Proceedings of the 22nd edition of the annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2013)

Frénay, B., Doquire, G. & Verleysen, M., 2013, Proceedings of the 22nd edition of the annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2013).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Risk Estimation and Feature Selection: Proceedings of European Symposium on Artificial Neural Networks (ESANN 2013)

Doquire, G., Frénay, B. & Verleysen, M., 2013, ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. p. 161-166 6 p.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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

File

Uncertainty and label noise in machine learning

Verleysen, M. & Frénay, B., 2013, Université catholique de Louvain (UCL).

Research output: External Thesis Doctoral Thesis

2014

A Comprehensive Introduction to Label Noise: Proceedings of the 2014 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014)

Frénay, B. & Kaban, A., 2014, Proceedings of the 2014 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014). i6doc.com.publ.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Automatic Correction of SVM for Drifted Data Classification: Proceedings de la 14 ème conférence Extraction et Gestion des Connaissances (EGC 2014)

Degeest, A., Frénay, B. & Verleysen, M., 2014, Proceedings de la 14 ème conférence Extraction et Gestion des Connaissances (EGC 2014).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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

Open Access
File
6 Downloads (Pure)

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

File
3 Downloads (Pure)
2015

Feature ranking in changing environments where new features are introduced

Degeest, A., Verleysen, M. & Frénay, B., 28 Sep 2015, Proceedings of the International Joint Conference on Neural Networks. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-September. p. 1-8 8 p. 7280533

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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

Survival analysis with Cox regression and random non-linear projections

Branders, S., Frénay, B. & Dupont, P., 2015, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings. i6doc.com publication, p. 119-124 6 p.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Valid interpretation of feature relevance for linear data mappings

Frenay, B., Hofmann, D., Schulz, A., Biehl, M. & Hammer, B., 13 Jan 2015, IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIDM 2014: 2014 IEEE Symposium on Computational Intelligence and Data Mining, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 149-156 8 p. 7008661

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

2016

Enseigner la programmation à travers un EDI enrichi

Henry, J. & Frenay, B., Jan 2016, (Unpublished).

Research output: Contribution to conferencePoster

Information Visualisation and Machine Learning: Characteristics, Convergence and Perspective

Frenay, B. & Dumas, B., 29 Apr 2016, ESANN 2016: Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, p. 623-628 6 p.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Interpretability of Machine Learning Models and Representations: an Introduction

Bibal, A. & Frenay, B., 2016, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, p. 77-82

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Open Access
File
636 Downloads (Pure)

Introduction to Interpretability in Machine Learning

Bibal, A. & Frenay, B., 2016, BENELEARN 2016. Kortrijk

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Open Access
File
29 Downloads (Pure)

Learning Interpretability for Visualizations using Adapted Cox Models through a User Experiment

Bibal, A. & Frenay, B., 2016, NIPS Workshop on Interpretable Machine Learning in Complex Systems. Barcelona

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Open Access
File
23 Downloads (Pure)

Robustifying Maximum Likelihood Inference

Frenay, B. & Verleysen, M., 2016, BENELEARN 2016. Kortrijk

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

2017

Enseigner la programmation à l'université : challenges didactiques et pédagogiques

Frenay, B., 2017, L'informatique et le numérique dans la classe : qui, comment, pourquoi ?. Presses universitaires de Namur

Research output: Contribution in Book/Catalog/Report/Conference proceedingChapter

Label-noise-tolerant classification for streaming data

Frenay, B. & Hammer, B., 30 Jun 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-May. p. 1748-1755 8 p. 7966062

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Open Access
File
7 Downloads (Pure)
2018

AI in a Nutshell : Three Hands-on Activities for Teenagers

Dumas, B., Frenay, B., Henry, J., Smal, A., Collard, A-S. & Hernalesteen, A., Jun 2018, (Unpublished). 4 p.

Research output: Contribution to conferencePaper

File
24 Downloads (Pure)

Clustering with decision trees: Divisive and agglomerative approach

Castin, L. & Frénay, B., 1 Jan 2018, ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, p. 455-460 6 p. (ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Comprendre l’ordinateur à travers un système informatique tangible, le micro:bit

Théate, N., Smal, A., Frenay, B. & Henry, J., 27 Mar 2018, Une école numérique pour émanciper ?: Colloque scientifique, Actes de la conférence. 4 p.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Open Access
File
8 Downloads (Pure)

Finding the Most Interpretable MDS Rotation for Sparse Linear Models based on External Features

Bibal, A., Marion, R. & Frenay, B., 1 Jan 2018, ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, p. 537-542 6 p. (ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Open Access
File
6 Downloads (Pure)

Intelligence Artificielle: Éduquer pour modifier la représentation qu’en ont les jeunes

Olivier, B., Smal, A., Frenay, B. & Henry, J., 27 Mar 2018, Une école numérique pour émanciper ?: Colloque scientifique, Actes de la conférence. p. 34-37 4 p.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Open Access
File
25 Downloads (Pure)
3 Downloads (Pure)

Interaction and User Integration in Machine Learning for Information Visualisation

Dumas, B., Frenay, B. & Lee, J., 25 Apr 2018, ESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com.publ., p. 97-104 8 p. (ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Smoothness bias in relevance estimators for feature selection in regression

Degeest, A., Verleysen, M. & Frénay, B., 1 Jan 2018, Artificial Intelligence Applications and Innovations - 14th IFIP WG 12.5 International Conference, AIAI 2018, Proceedings. Maglogiannis, I., Iliadis, L. & Plagianakos, V. (eds.). Springer New York, p. 285-294 10 p. (IFIP Advances in Information and Communication Technology; vol. 519).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

2019

About Filter Criteria for Feature Selection in Regression

Degeest, A., Verleysen, M. & Frénay, B., 1 Jan 2019, Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Proceedings. Rojas, I., Joya, G. & Catala, A. (eds.). Springer Verlag, p. 579-590 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11507 LNCS).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

AI in a Nutshell : Three Hands-on Activities for Teenagers

Henry, J., Frenay, B., Dumas, B., Hernalesteen, A. & Collard, A-S., Sep 2019, (Unpublished). 4 p.

Research output: Contribution to conferencePaper

File
2 Downloads (Pure)

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.

Research output: Contribution to journalArticle

File
3 Downloads (Pure)

Comparison Between Filter Criteria for Feature Selection in Regression

Degeest, A., Verleysen, M. & Frénay, B., 1 Jan 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer Verlag, p. 59-71 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11728 LNCS).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Open Access
File
116 Downloads (Pure)