| 2025 | ICPRAM | DNN Layers Features Reduction for Out-of-Distribution Detection. | Mikhal Presley Kibinda-Moukengue, Alexandre Baussard, Pierre Beauseroy |
| 2024 | IJCCI | Unsupervised Feature Selection Using Extreme Learning Machine. | Mamadou Kanout, Edith Grall-Mas, Pierre Beauseroy |
| 2024 | ICPRAM | Study of an Expansion Method Based on an Image-Specific Classifier and Multi-Features for Weakly Supervised Semantic Segmentation. | Zhengyang Lyu, Pierre Beauseroy, Alexandre Baussard |
| 2023 | IJCCI | Neural Network-Based Approach for Supervised Nonlinear Feature Selection. | Mamadou Kanout, Edith Grall-Mas, Pierre Beauseroy |
| 2020 | CIBCB | Unsupervised feature selection for tumor profiles using autoencoders and kernel methods. | Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich |
| 2019 | ICPRAM | Deep Learning-based Method for Classifying and Localizing Potato Blemishes. | Sofia Marino, Pierre Beauseroy, Andr Smolarz |
| 2018 | ICASSP | Constant False Alarm Rate for Online one Class Svm Learning. | Yongjian Xue, Pierre Beauseroy |
| 2018 | ICPRAM | Abnormal Events Detection for Infrastructure Security using Key Metrics. | Van Khoa Le, Edith Grall-Mas, Pierre Beauseroy |
| 2018 | ICPRAM | Transfer Learning to Adapt One Class SVM Detection to Additional Features. | Yongjian Xue, Pierre Beauseroy |
| 2016 | ICPR | Multi-task learning for one-class SVM with additional new features. | Yongjian Xue, Pierre Beauseroy |
| 2015 | ESANN | Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance. | Patric Nader, Paul Honeine, Pierre Beauseroy |
| 2015 | ICMLA | Path for Kernel Adaptive One-Class Support Vector Machine. | Van Khoa Le, Pierre Beauseroy |
| 2014 | CRITIS | The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures. | Patric Nader, Paul Honeine, Pierre Beauseroy |
| 2014 | ESANN | The one-sided mean kernel: a positive definite kernel for time series. | Nicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Mas, Fabrice Ferrand |
| 2012 | ICMLA | A Normalized Criterion of Spatial Clustering in Model-Based Framework. | X. Z. Wang, Edith Grall-Mas, Pierre Beauseroy |
| 2012 | IJCCI | Improved Iris Recognition using Parabolic Normalization and Multi-layer Perceptron Neural Network. | Alaa Hilal, Bassam Daya, Pierre Beauseroy |
| 2010 | ICMLA | Dynamic Decision Method Based on Contextual Selection of Representation Subspaces. | Pierre Beauseroy, Andr Smolarz, Yuan Dong, Xiyan He |
| 2009 | ESANN | Gaussian Mixture Models for multiclass problems with performance constraints. | Nisrine Jrad, Edith Grall-Mas, Pierre Beauseroy |
| 2008 | ICIP | Random feature subset selection in a nonstationary environment: Application to textured image segmentation. | Xiyan He, Pierre Beauseroy, Andr Smolarz |
| 2008 | ICMLA | A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function. | Nisrine Jrad, Edith Grall-Mas, Pierre Beauseroy |
| 2008 | ICPR | Supervised learning rule selection for multiclass decision with performance constraints. | Nisrine Jrad, Edith Grall-Mas, Pierre Beauseroy |
| 2006 | ICASSP | Fast Training and Efficient Linear Learning Machine. | Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Mas |
| 2006 | ICASSP | Multilabel Classification Rule with Performance Constraints. | Edith Grall-Mas, Pierre Beauseroy, Abdenour Bounsiar |