Benoît Frénay

Benoît Vanderose

Proceedings of the Research Challenges in Information Science, 2021

Achieving Rotational Invariance with Bessel-Convolutional Neural Networks.

[BibT_eX]

[DOI]

Valentin Delchevalerie

Alexandre Mayer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GanoDIP - GAN Anomaly Detection through Intermediate Patches: a PCBA Manufacturing Case.

[BibT_eX]

[DOI]

Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

HCt-SNE: Hierarchical Constraints with t-SNE.

[BibT_eX]

[DOI]

Viet Minh Vu

Proceedings of the International Joint Conference on Neural Networks, 2021

iPMDS: Interactive Probabilistic Multidimensional Scaling.

[BibT_eX]

[DOI]

Viet Minh Vu

Proceedings of the International Joint Conference on Neural Networks, 2021

LSFB-CONT and LSFB-ISOL: Two New Datasets for Vision-Based Sign Language Recognition.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Accelerating $t$-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics.

[BibT_eX]

[DOI]

Valentin Delchevalerie

Alexandre Mayer

Proceedings of the International Joint Conference on Neural Networks, 2021

Boundary-Based Fairness Constraints in Decision Trees and Random Forests.

[BibT_eX]

[DOI]

Géraldin Nanfack

Valentin Delchevalerie

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Report from the 1st Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '19).

[BibT_eX]

[DOI]

ACM SIGSOFT Softw. Eng. Notes, 2020

Function completion in the time of massive data: A code embedding perspective.

[BibT_eX]

[DOI]

CoRR, 2020

Impact of Legal Requirements on Explainability in Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Explaining t-SNE Embeddings Locally by Adapting LIME.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

BIR: A method for selecting the best interpretable multidimensional scaling rotation using external variables.

[BibT_eX]

[DOI]

Rebecca Marion

Neurocomputing, 2019

About Filter Criteria for Feature Selection in Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2019

Comparison Between Filter Criteria for Feature Selection in Regression.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

User-steering interpretable visualization with probabilistic principal components analysis.

[BibT_eX]

[DOI]

Viet Minh Vu

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Deep Learning Applied to Sign Language.

[BibT_eX]

[DOI]

Jérôme Fink

Anthony Cleve

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Smoothness Bias in Relevance Estimators for Feature Selection in Regression.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Information visualisation and machine learning: latest trends towards convergence.

[BibT_eX]

[DOI]

Bruno Dumas

John A. Lee

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

clustering with decision trees: divisive and agglomerative approach.

[BibT_eX]

[DOI]

Lauriane Castin

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Finding the most interpretable MDS rotation for sparse linear models based on external features.

[BibT_eX]

[DOI]

Rebecca Marion

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Label-noise-tolerant classification for streaming data.

[BibT_eX]

[DOI]

Barbara Hammer

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Information visualisation and machine learning: characteristics, convergence and perspective.

[BibT_eX]

[DOI]

Bruno Dumas

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Interpretability of machine learning models and representations: an introduction.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Special issue on advances in learning with label noise.

[BibT_eX]

[DOI]

Ata Kabán

Neurocomputing, 2015

Feature ranking in changing environments where new features are introduced.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Survival Analysis with Cox Regression and Random Non-linear Projections.

[BibT_eX]

[DOI]

Samuel Branders

Pierre Dupont

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Classification in the Presence of Label Noise: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

Pointwise probability reinforcements for robust statistical inference.

[BibT_eX]

[DOI]

Neural Networks, 2014

Estimating mutual information for feature selection in the presence of label noise.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2014

Automatic correction of SVM for drifted data classification.

[BibT_eX]

[DOI]

Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

A comprehensive introduction to label noise.

[BibT_eX]

[DOI]

Ata Kabán

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Valid interpretation of feature relevance for linear data mappings.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013

Uncertainty and label noise in machine learning.

[BibT_eX]

[DOI]

PhD thesis, 2013

Is mutual information adequate for feature selection in regression?

[BibT_eX]

[DOI]

Neural Networks, 2013

Feature selection for nonlinear models with extreme learning machines.

[BibT_eX]

[DOI]

Neurocomputing, 2013

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

[BibT_eX]

[DOI]

Neurocomputing, 2013

Risk Estimation and Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

On the Potential Inadequacy of Mutual Information for Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

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

[BibT_eX]

[DOI]

Neurocomputing, 2011

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

[BibT_eX]

[DOI]

Gaël de Lannoy

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Using SVMs with randomised feature spaces: an extreme learning approach.

[BibT_eX]

[DOI]

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

2S<sub>2</sub>, a simple reinforcement learning scheme for two-player zero-sum Markov games.

[BibT_eX]

[DOI]

Marco Saerens

Neurocomputing, 2009

Improving the transition modelling in hidden Markov models for ECG segmentation.

[BibT_eX]

[DOI]

Gaël de Lannoy

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

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

[BibT_eX]

[DOI]