Benoît Frénay

111 papers A* 2A 4B 36C 1Misc 1Journal 51Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Fair Enhanced Bayesian Personalized Ranking Using Adversarial Learning. Trans. Recomm. Syst. Armielle Noulapeu Ngaffo, Julien Albert, Benoît Frénay, Gilles Perrouin
2026	J	`jnl`	SSL-SLR: Self-Supervised Representation Learning for Sign Language Recognition. Trans. Mach. Learn. Res. Ariel Basso Madjoukeng, Jérôme Fink, Pierre Poitier, Edith Belise Kenmogne, Benoît Frénay
2026	B	`conf`	T-SE : A Method Built on Squeeze-and-Excitation Mechanisms for Convolutional Neural Networks' Energy Efficiency. IDA Noémie Draguet, Benoît Frénay
2025	—	`conf`	Computer Assisted Diagnosis: does it make sense for Lungs Tumor Detection? A Qualitative study with Pulmonologists. IHM Robin Ghyselinck, Thibaut Septon, Nicolas Geuens, Margaux Mannaerts, Julie Vijghen, Samy Lachkar, Benoît Frénay, Bruno Dumas
2025	J	`jnl`	Industrial and medical anomaly detection through cycle-consistent adversarial networks. Neurocomputing Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui, Benoît Frénay
2025	B	`conf`	Local-Global Data Augmentation for Contrastive Learning in Static Sign Language Recognition. IDA Ariel Basso Madjoukeng, Edith Belise Kenmogne, Pierre Poitier, Benoît Frénay, Jérôme Fink
2025	J	`jnl`	On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation. Trans. Mach. Learn. Res. Robin Ghyselinck, Valentin Delchevalerie, Bruno Dumas, Benoît Frénay
2025	J	`jnl`	Robust sparse k-means clustering against STOF observations. Int. J. Data Sci. Anal. Ariel Basso Madjoukeng, Edith Belise Kenmogne, Benoît Frénay
2025	J	`jnl`	SL-SLR: Self-Supervised Representation Learning for Sign Language Recognition. CoRR Ariel Basso Madjoukeng, Jérôme Fink, Pierre Poitier, Edith Belise Kenmogne, Benoît Frénay
2025	J	`jnl`	Towards Photonic Band Diagram Generation with Transformer-Latent Diffusion Models. CoRR Valentin Delchevalerie, Nicolas Roy, Arnaud Bougaham, Alexandre Mayer, Benoît Frénay, Michaël Lobet
2025	J	`jnl`	Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss. CoRR Arnaud Bougaham, Benoît Frénay
2024	B	`conf`	ChatDT: Simplifying Constraint Integration in Decision Trees. ESANN Abiola Paterne Chokki, Benoît Frénay
2024	J	`jnl`	Composite score for anomaly detection in imbalanced real-world industrial dataset. Mach. Learn. Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden, Benoît Frénay
2024	J	`jnl`	Constrained Tiny Machine Learning for Predicting Gas Concentration with I4.0 Low-cost Sensors. ACM Trans. Embed. Comput. Syst. Mohammed El Adoui, Thomas Herpoel, Benoît Frénay
2024	A	`conf`	Deep Learning for in vivo Bronchial Carinae Detection in Flexible Bronchoscopy. ECAI Robin Ghyselinck, Valentin Delchevalerie, Pierre Poitier, Benoît Frénay, Bruno Dumas
2024	J	`jnl`	Do open government data (OGD) portals show signs of knowledge management (KM) practices?: an empirical investigation. Technol. Anal. Strateg. Manag. Abiola Paterne Chokki, Charalampos Alexopoulos, Ricardo Matheus, Stuti Saxena, Benoît Frénay, Benoît Vanderose
2024	B	`conf`	Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes. ESANN Simon Lejoly, Arianna Piccialli, Arnaud Mahieux, Ann-Carine Vandaele, Benoît Frénay
2024	B	`conf`	Fast k-means with Stable Instance Sets. IJCNN Ariel Basso Madjoukeng, Edith Belise Kenmogne, Benoît Frénay
2024	B	`conf`	From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images. ESANN Valentin Delchevalerie, Benoît Frénay, Alexandre Mayer
2024	J	`jnl`	Gradient-based explanation for non-linear non-parametric dimensionality reduction. Data Min. Knowl. Discov. Sacha Corbugy, Rebecca Marion, Benoît Frénay
2024	J	`jnl`	Improving the Feature Selection Stability of the Delta Test in Regression. IEEE Trans. Artif. Intell. Rebecca Marion, Benoît Frénay
2024	B	`conf`	Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation. ESANN Sacha Corbugy, Thibaut Septon, Bruno Dumas, Benoît Frénay
2024	B	`conf`	Leveraging endoscopic data with Contrastive Learning for Crohn's disease detection. ESANN Robin Ghyselinck, Jérôme Fink, Bruno Dumas, Benoît Frénay
2024	J	`jnl`	On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation. CoRR Robin Ghyselinck, Valentin Delchevalerie, Bruno Dumas, Benoît Frénay
2024	J	`jnl`	Towards better transition modeling in recurrent neural networks: The case of sign language tokenization. Neurocomputing Pierre Poitier, Jérôme Fink, Benoît Frénay
2024	B	`conf`	Trust in Artificial Intelligence: Beyond Interpretability. ESANN Tassadit Bouadi, Benoît Frénay, Luis Galárraga, Pierre Geurts, Barbara Hammer, Gilles Perrouin
2023	B	`conf`	A Counterexample to Ockham's Razor and the Curse of Dimensionality: Marginalising Complexity and Dimensionality for GMMs. ESANN Benoît Frénay
2023	—	`conf`	An Experimental Investigation into the Evaluation of Explainability Methods for Computer Vision. PKDD/ECML Workshops (1) Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack, Julien Albert, Nassim Versbraegen, Gilles Peiffer, Miriam Doh, Nicolas Riche, Benoît Frénay, Christophe De Vleeschouwer
2023	J	`jnl`	An Experimental Investigation into the Evaluation of Explainability Methods. CoRR Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack, Julien Albert, Nassim Versbraegen, Gilles Peiffer, Miriam Doh, Nicolas Riche, Benoît Frénay, Christophe De Vleeschouwer
2023	J	`jnl`	DT-SNE: t-SNE discrete visualizations as decision tree structures. Neurocomputing Adrien Bibal, Valentin Delchevalerie, Benoît Frénay
2023	J	`jnl`	Decision trees: from efficient prediction to responsible AI. Frontiers Artif. Intell. Hendrik Blockeel, Laurens Devos, Benoît Frénay, Géraldin Nanfack, Siegfried Nijssen
2023	B	`conf`	FairBayRank: A Fair Personalized Bayesian Ranker. ESANN Armielle Noulapeu Ngaffo, Julien Albert, Benoît Frénay, Gilles Perrouin
2023	J	`jnl`	Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks. CoRR Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui, Benoît Frénay
2023	J	`jnl`	Learning Customised Decision Trees for Domain-knowledge Constraints. Pattern Recognit. Géraldin Nanfack, Paul Temple, Benoît Frénay
2023	J	`jnl`	Predicting User Preferences of Dimensionality Reduction Embedding Quality. IEEE Trans. Vis. Comput. Graph. Cristina Morariu, Adrien Bibal, René Cutura, Benoît Frénay, Michael Sedlmair
2023	J	`jnl`	SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks. CoRR Valentin Delchevalerie, Alexandre Mayer, Adrien Bibal, Benoît Frénay
2023	A*	`conf`	Sign Language-to-Text Dictionary with Lightweight Transformer Models. IJCAI Jérôme Fink, Pierre Poitier, Maxime André, Loup Meurice, Benoît Frénay, Anthony Cleve, Bruno Dumas, Laurence Meurant
2023	B	`conf`	Trends and Challenges for Sign Language Recognition with Machine Learning. ESANN Jérôme Fink, Mathieu De Coster, Joni Dambre, Benoît Frénay
2022	A	`conf`	AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence. CIKM Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas
2022	J	`jnl`	Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset. CoRR Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden, Benoît Frénay
2022	J	`jnl`	Constraint Enforcement on Decision Trees: A Survey. ACM Comput. Surv. Géraldin Nanfack, Paul Temple, Benoît Frénay
2022	J	`jnl`	Engaging Citizens with Open Government Data: The Value of Dashboards Compared to Individual Visualizations. Digit. Gov. Res. Pract. Abiola Paterne Chokki, Anthony Simonofski, Benoît Frénay, Benoît Vanderose
2022	—	`conf`	Fostering Interaction Between Open Government Data Stakeholders: An Exchange Platform for Citizens, Developers and Publishers. EGOV Abiola Paterne Chokki, Anthony Simonofski, Antoine Clarinval, Benoît Frénay, Benoît Vanderose
2022	B	`conf`	Increasing Awareness and Usefulness of Open Government Data: An Empirical Analysis of Communication Methods. RCIS Abiola Paterne Chokki, Anthony Simonofski, Benoît Frénay, Benoît Vanderose
2022	J	`jnl`	Integrating Constraints Into Dimensionality Reduction for Visualization: A Survey. IEEE Trans. Artif. Intell. Viet Minh Vu, Adrien Bibal, Benoît Frénay
2022	J	`jnl`	Learning from Code Repositories to Recommend Model Classes. J. Object Technol. Thibaut Capuano, Houari A. Sahraoui, Benoît Frénay, Benoît Vanderose
2022	—	`conf`	ODSAG: Enhancing Open Data Discoverability and Understanding through Semantic Annotation (short paper). EGOV-CeDEM-ePart-* Abiola Paterne Chokki, Rabeb Abida, Benoît Frénay, Benoît Vanderose, Anthony Cleve
2022	—	`conf`	Open Data Explorer: An End-to-end Tool for Data Storytelling using Open Data. AMCIS Abiola Paterne Chokki, Benoît Frénay, Benoît Vanderose
2022	B	`conf`	Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization. ESANN Pierre Poitier, Jérôme Fink, Benoît Frénay
2021	—	`conf`	A tool for evaluating computer programs from students. EASEAI@ESEC/SIGSOFT FSE Quentin Vaneck, Thomas Colart, Benoît Frénay, Benoît Vanderose
2021	B	`conf`	Accelerating $t$-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics. IJCNN Valentin Delchevalerie, Alexandre Mayer, Adrien Bibal, Benoît Frénay
2021	A*	`conf`	Achieving Rotational Invariance with Bessel-Convolutional Neural Networks. NeurIPS Valentin Delchevalerie, Adrien Bibal, Benoît Frénay, Alexandre Mayer
2021	J	`jnl`	BIOT: Explaining multidimensional nonlinear MDS embeddings using the Best Interpretable Orthogonal Transformation. Neurocomputing Adrien Bibal, Rebecca Marion, Rainer von Sachs, Benoît Frénay
2021	B	`conf`	Boundary-Based Fairness Constraints in Decision Trees and Random Forests. ESANN Géraldin Nanfack, Valentin Delchevalerie, Benoît Frénay
2021	J	`jnl`	Constraint Preserving Score for Automatic Hyperparameter Tuning of Dimensionality Reduction Methods for Visualization. IEEE Trans. Artif. Intell. Viet Minh Vu, Adrien Bibal, Benoît Frénay
2021	J	`jnl`	DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality. CoRR Cristina Morariu, Adrien Bibal, René Cutura, Benoît Frénay, Michael Sedlmair
2021	J	`jnl`	Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning. SIGKDD Explor. Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frénay, Patrick Heymans, Bettina Berendt
2021	—	`conf`	GanoDIP - GAN Anomaly Detection through Intermediate Patches: a PCBA Manufacturing Case. LIDTA@ECML/PKDD Arnaud Bougaham, Adrien Bibal, Isabelle Linden, Benoît Frénay
2021	A	`conf`	Global explanations with decision rules: a co-learning approach. UAI Géraldin Nanfack, Paul Temple, Benoît Frénay
2021	B	`conf`	HCt-SNE: Hierarchical Constraints with t-SNE. IJCNN Viet Minh Vu, Adrien Bibal, Benoît Frénay
2021	J	`jnl`	IXVC: An interactive pipeline for explaining visual clusters in dimensionality reduction visualizations with decision trees. Array Adrien Bibal, Antoine Clarinval, Bruno Dumas, Benoît Frénay
2021	B	`conf`	LSFB-CONT and LSFB-ISOL: Two New Datasets for Vision-Based Sign Language Recognition. IJCNN Jérôme Fink, Benoît Frénay, Laurence Meurant, Anthony Cleve
2021	J	`jnl`	Legal requirements on explainability in machine learning. Artif. Intell. Law Adrien Bibal, Michael Lognoul, Alexandre de Streel, Benoît Frénay
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I PKDD/ECML Workshops (1) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II PKDD/ECML Workshops (2) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	B	`conf`	Open Government Data for Non-expert Citizens: Understanding Content and Visualizations' Expectations. RCIS Abiola Paterne Chokki, Anthony Simonofski, Benoît Frénay, Benoît Vanderose
2021	J	`jnl`	Reading grid for feature selection relevance criteria in regression. Pattern Recognit. Lett. Alexandra Degeest, Benoît Frénay, Michel Verleysen
2021	J	`jnl`	Report from the 2nd Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '20). ACM SIGSOFT Softw. Eng. Notes Benoît Vanderose, Julie Henry, Benoît Frénay, Xavier Devroey
2021	B	`conf`	iPMDS: Interactive Probabilistic Multidimensional Scaling. IJCNN Viet Minh Vu, Adrien Bibal, Benoît Frénay
2020	A	`conf`	AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence. CIKM Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas
2020	J	`jnl`	Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning. CoRR Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frénay, Patrick Heymans, Bettina Berendt
2020	B	`conf`	Explaining t-SNE Embeddings Locally by Adapting LIME. ESANN Adrien Bibal, Viet Minh Vu, Géraldin Nanfack, Benoît Frénay
2020	J	`jnl`	Function completion in the time of massive data: A code embedding perspective. CoRR Martin Weyssow, Houari A. Sahraoui, Benoît Vanderose, Benoît Frénay
2020	J	`jnl`	Impact of Legal Requirements on Explainability in Machine Learning. CoRR Adrien Bibal, Michael Lognoul, Alexandre de Streel, Benoît Frénay
2020	J	`jnl`	Report from the 1st Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '19). ACM SIGSOFT Softw. Eng. Notes Benoît Vanderose, Benoît Frénay, Julie Henry, Xavier Devroey
2019	—	`conf`	About Filter Criteria for Feature Selection in Regression. IWANN (2) Alexandra Degeest, Michel Verleysen, Benoît Frénay
2019	J	`jnl`	BIR: A method for selecting the best interpretable multidimensional scaling rotation using external variables. Neurocomputing Rebecca Marion, Adrien Bibal, Benoît Frénay
2019	—	`conf`	Comparison Between Filter Criteria for Feature Selection in Regression. ICANN (2) Alexandra Degeest, Michel Verleysen, Benoît Frénay
2019	—	`conf`	Deep Learning Applied to Sign Language. BNAIC/BENELEARN Jérôme Fink, Anthony Cleve, Benoît Frénay
2019	—	`ed.`	Proceedings of the 1st ACM SIGSOFT International Workshop on Education through Advanced Software Engineering and Artificial Intelligence, EASEAI@ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 26, 2019 EASEAI@ESEC/SIGSOFT FSE Benoît Vanderose, Benoît Frénay, Julie Henry, Xavier Devroey
2019	B	`conf`	User-steering interpretable visualization with probabilistic principal components analysis. ESANN Viet Minh Vu, Benoît Frénay
2018	B	`conf`	Finding the most interpretable MDS rotation for sparse linear models based on external features. ESANN Adrien Bibal, Rebecca Marion, Benoît Frénay
2018	B	`conf`	Information visualisation and machine learning: latest trends towards convergence. ESANN Benoît Frénay, Bruno Dumas, John A. Lee
2018	Misc	`conf`	Smoothness Bias in Relevance Estimators for Feature Selection in Regression. AIAI Alexandra Degeest, Michel Verleysen, Benoît Frénay
2018	B	`conf`	clustering with decision trees: divisive and agglomerative approach. ESANN Lauriane Castin, Benoît Frénay
2017	B	`conf`	Label-noise-tolerant classification for streaming data. IJCNN Benoît Frénay, Barbara Hammer
2016	B	`conf`	Information visualisation and machine learning: characteristics, convergence and perspective. ESANN Benoît Frénay, Bruno Dumas
2016	B	`conf`	Interpretability of machine learning models and representations: an introduction. ESANN Adrien Bibal, Benoît Frénay
2016	J	`jnl`	Learning Interpretability for Visualizations using Adapted Cox Models through a User Experiment. CoRR Adrien Bibal, Benoît Frénay
2016	J	`jnl`	Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers. IEEE Trans. Cybern. Benoît Frénay, Michel Verleysen
2015	B	`conf`	Feature ranking in changing environments where new features are introduced. IJCNN Alexandra Degeest, Michel Verleysen, Benoît Frénay
2015	J	`jnl`	Special issue on advances in learning with label noise. Neurocomputing Benoît Frénay, Ata Kabán
2015	B	`conf`	Survival Analysis with Cox Regression and Random Non-linear Projections. ESANN Samuel Branders, Benoît Frénay, Pierre Dupont
2014	B	`conf`	A comprehensive introduction to label noise. ESANN Benoît Frénay, Ata Kabán
2014	—	`conf`	Automatic correction of SVM for drifted data classification. EGC Alexandra Degeest, Benoît Frénay, Michel Verleysen
2014	J	`jnl`	Classification in the Presence of Label Noise: A Survey. IEEE Trans. Neural Networks Learn. Syst. Benoît Frénay, Michel Verleysen
2014	J	`jnl`	Estimating mutual information for feature selection in the presence of label noise. Comput. Stat. Data Anal. Benoît Frénay, Gauthier Doquire, Michel Verleysen
2014	J	`jnl`	Pointwise probability reinforcements for robust statistical inference. Neural Networks Benoît Frénay, Michel Verleysen
2014	C	`conf`	Valid interpretation of feature relevance for linear data mappings. CIDM Benoît Frénay, Daniela Hofmann, Alexander Schulz, Michael Biehl, Barbara Hammer
2013	J	`jnl`	Feature selection for nonlinear models with extreme learning machines. Neurocomputing Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen, Amaury Lendasse
2013	J	`jnl`	Is mutual information adequate for feature selection in regression? Neural Networks Benoît Frénay, Gauthier Doquire, Michel Verleysen
2013	B	`conf`	Risk Estimation and Feature Selection. ESANN Gauthier Doquire, Benoît Frénay, Michel Verleysen
2013	J	`jnl`	Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification. Neurocomputing Benoît Frénay, Gauthier Doquire, Michel Verleysen
2013	—	`—`	Uncertainty and label noise in machine learning. Benoît Frénay
2012	B	`conf`	On the Potential Inadequacy of Mutual Information for Feature Selection. ESANN Benoît Frénay, Gauthier Doquire, Michel Verleysen
2011	—	`conf`	Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs. ECML/PKDD (1) Benoît Frénay, Gaël de Lannoy, Michel Verleysen
2011	J	`jnl`	Parameter-insensitive kernel in extreme learning for non-linear support vector regression. Neurocomputing Benoît Frénay, Michel Verleysen
2010	B	`conf`	Using SVMs with randomised feature spaces: an extreme learning approach. ESANN Benoît Frénay, Michel Verleysen
2009	J	`jnl`	2S Neurocomputing Benoît Frénay, Marco Saerens
2009	B	`conf`	Improving the transition modelling in hidden Markov models for ECG segmentation. ESANN Benoît Frénay, Gaël de Lannoy, Michel Verleysen
2008	B	`conf`	QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games. ESANN Benoît Frénay, Marco Saerens