| 2026 | ESANN | Movements as Images: CNNs are Good Feature Extractors in Sign Language Recognition. | Pierre Poitier, Loc Brangier, Ariel Basso Madjoukeng, Benot Frnay |
| 2026 | IDA | T-SE : A Method Built on Squeeze-and-Excitation Mechanisms for Convolutional Neural Networks' Energy Efficiency. | Nomie Draguet, Benot Frnay |
| 2025 | ESANN | Making Convolutional Neural Networks Energy-Efficient: An Introduction. | Nomie Draguet, Benot Frnay |
| 2025 | ESANN | Mask-Aware Cropping: Mitigating Mask Imbalance in Segmentation Tasks. | Robin Ghyselinck, Valentin Delchevalerie, Benot Frnay, Bruno Dumas |
| 2025 | ESANN | Benchmarking Data Augmentation for Contrastive Learning in Static Sign Language Recognition. | Ariel Basso Madjoukeng, Jrme Fink, Pierre Poitier, Edith Belise Kenmogne, Benot Frnay |
| 2025 | IDA | Local-Global Data Augmentation for Contrastive Learning in Static Sign Language Recognition. | Ariel Basso Madjoukeng, Edith Belise Kenmogne, Pierre Poitier, Benot Frnay, Jrme Fink |
| 2024 | ECAI | Deep Learning for in vivo Bronchial Carinae Detection in Flexible Bronchoscopy. | Robin Ghyselinck, Valentin Delchevalerie, Pierre Poitier, Benot Frnay, Bruno Dumas |
| 2024 | ESANN | Trust in Artificial Intelligence: Beyond Interpretability. | Tassadit Bouadi, Benot Frnay, Luis Galrraga, Pierre Geurts, Barbara Hammer, Gilles Perrouin |
| 2024 | ESANN | ChatDT: Simplifying Constraint Integration in Decision Trees. | Abiola Paterne Chokki, Benot Frnay |
| 2024 | ESANN | Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation. | Sacha Corbugy, Thibaut Septon, Bruno Dumas, Benot Frnay |
| 2024 | ESANN | From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images. | Valentin Delchevalerie, Benot Frnay, Alexandre Mayer |
| 2024 | ESANN | Leveraging endoscopic data with Contrastive Learning for Crohn's disease detection. | Robin Ghyselinck, Jrme Fink, Bruno Dumas, Benot Frnay |
| 2024 | ESANN | Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes. | Simon Lejoly, Arianna Piccialli, Arnaud Mahieux, Ann-Carine Vandaele, Benot Frnay |
| 2024 | IJCNN | Fast k-means with Stable Instance Sets. | Ariel Basso Madjoukeng, Edith Belise Kenmogne, Benot Frnay |
| 2023 | ESANN | Trends and Challenges for Sign Language Recognition with Machine Learning. | Jrme Fink, Mathieu De Coster, Joni Dambre, Benot Frnay |
| 2023 | ESANN | A Counterexample to Ockham's Razor and the Curse of Dimensionality: Marginalising Complexity and Dimensionality for GMMs. | Benot Frnay |
| 2023 | ESANN | FairBayRank: A Fair Personalized Bayesian Ranker. | Armielle Noulapeu Ngaffo, Julien Albert, Benot Frnay, Gilles Perrouin |
| 2023 | IJCAI | Sign Language-to-Text Dictionary with Lightweight Transformer Models. | Jrme Fink, Pierre Poitier, Maxime Andr, Loup Meurice, Benot Frnay, Anthony Cleve, Bruno Dumas, Laurence Meurant |
| 2022 | CIKM | AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence. | Adrien Bibal, Tassadit Bouadi, Benot Frnay, Luis Galrraga, Jos Oramas |
| 2022 | ESANN | Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization. | Pierre Poitier, Jrme Fink, Benot Frnay |
| 2022 | RCIS | Increasing Awareness and Usefulness of Open Government Data: An Empirical Analysis of Communication Methods. | Abiola Paterne Chokki, Anthony Simonofski, Benot Frnay, Benot Vanderose |
| 2021 | ESANN | Boundary-Based Fairness Constraints in Decision Trees and Random Forests. | Graldin Nanfack, Valentin Delchevalerie, Benot Frnay |
| 2021 | IJCNN | Accelerating $t$-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics. | Valentin Delchevalerie, Alexandre Mayer, Adrien Bibal, Benot Frnay |
| 2021 | IJCNN | LSFB-CONT and LSFB-ISOL: Two New Datasets for Vision-Based Sign Language Recognition. | Jrme Fink, Benot Frnay, Laurence Meurant, Anthony Cleve |
| 2021 | IJCNN | iPMDS: Interactive Probabilistic Multidimensional Scaling. | Viet Minh Vu, Adrien Bibal, Benot Frnay |
| 2021 | IJCNN | HCt-SNE: Hierarchical Constraints with t-SNE. | Viet Minh Vu, Adrien Bibal, Benot Frnay |
| 2021 | RCIS | Open Government Data for Non-expert Citizens: Understanding Content and Visualizations' Expectations. | Abiola Paterne Chokki, Anthony Simonofski, Benot Frnay, Benot Vanderose |
| 2021 | UAI | Global explanations with decision rules: a co-learning approach. | Graldin Nanfack, Paul Temple, Benot Frnay |
| 2020 | CIKM | AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence. | Adrien Bibal, Tassadit Bouadi, Benot Frnay, Luis Galrraga, Jos Oramas |
| 2020 | ESANN | Explaining t-SNE Embeddings Locally by Adapting LIME. | Adrien Bibal, Viet Minh Vu, Graldin Nanfack, Benot Frnay |
| 2019 | ESANN | User-steering interpretable visualization with probabilistic principal components analysis. | Viet Minh Vu, Benot Frnay |
| 2019 | ICANN | Comparison Between Filter Criteria for Feature Selection in Regression. | Alexandra Degeest, Michel Verleysen, Benot Frnay |
| 2019 | IWANN | About Filter Criteria for Feature Selection in Regression. | Alexandra Degeest, Michel Verleysen, Benot Frnay |
| 2018 | ESANN | Finding the most interpretable MDS rotation for sparse linear models based on external features. | Adrien Bibal, Rebecca Marion, Benot Frnay |
| 2018 | ESANN | clustering with decision trees: divisive and agglomerative approach. | Lauriane Castin, Benot Frnay |
| 2018 | ESANN | Information visualisation and machine learning: latest trends towards convergence. | Benot Frnay, Bruno Dumas, John A. Lee |
| 2017 | IJCNN | Label-noise-tolerant classification for streaming data. | Benot Frnay, Barbara Hammer |
| 2016 | ESANN | Interpretability of machine learning models and representations: an introduction. | Adrien Bibal, Benot Frnay |
| 2016 | ESANN | Information visualisation and machine learning: characteristics, convergence and perspective. | Benot Frnay, Bruno Dumas |
| 2015 | ESANN | Survival Analysis with Cox Regression and Random Non-linear Projections. | Samuel Branders, Benot Frnay, Pierre Dupont |
| 2015 | IJCNN | Feature ranking in changing environments where new features are introduced. | Alexandra Degeest, Michel Verleysen, Benot Frnay |
| 2014 | CIDM | Valid interpretation of feature relevance for linear data mappings. | Benot Frnay, Daniela Hofmann, Alexander Schulz, Michael Biehl, Barbara Hammer |
| 2014 | ESANN | A comprehensive introduction to label noise. | Benot Frnay, Ata Kabn |
| 2013 | ESANN | Risk Estimation and Feature Selection. | Gauthier Doquire, Benot Frnay, Michel Verleysen |
| 2012 | ESANN | On the Potential Inadequacy of Mutual Information for Feature Selection. | Benot Frnay, Gauthier Doquire, Michel Verleysen |
| 2010 | ESANN | Using SVMs with randomised feature spaces: an extreme learning approach. | Benot Frnay, Michel Verleysen |
| 2009 | ESANN | Improving the transition modelling in hidden Markov models for ECG segmentation. | Benot Frnay, Gal de Lannoy, Michel Verleysen |
| 2008 | ESANN | QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games. | Benot Frnay, Marco Saerens |