| 2024 | ACML | The data-driven transferable adversarial space. | Yuan Liu, Stphane Canu |
| 2023 | WACV | Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning. | Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hrault, Stphane Canu |
| 2021 | ICIP | Multimodal Polarimetric And Color Fusion For Road Scene Analysis In Adverse Weather Conditions. | Rachel Blin, Samia Ainouz, Stphane Canu, Fabrice Mriaudeau |
| 2021 | IJCNN | Linear Program Powered Attack. | Ismala Seck, Galle Loosli, Stphane Canu |
| 2020 | CVPR | A new multimodal RGB and polarimetric image dataset for road scenes analysis. | Rachel Blin, Samia Ainouz, Stphane Canu, Fabrice Mriaudeau |
| 2020 | ICPR | Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. | Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stphane Canu |
| 2020 | ICPR | 3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. | Tongxue Zhou, Stphane Canu, Pierre Vera, Su Ruan |
| 2020 | MICCAI | Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation. | Tongxue Zhou, Stphane Canu, Pierre Vera, Su Ruan |
| 2020 | WACV | Temporal Contrastive Pretraining for Video Action Recognition. | Guillaume Lorre, Jaonary Rabarisoa, Astrid Orcesi, Samia Ainouz, Stphane Canu |
| 2019 | ESANN | L1-norm double backpropagation adversarial defense. | Ismala Seck, Galle Loosli, Stphane Canu |
| 2019 | MICCAI | Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI. | Tongxue Zhou, Su Ruan, Haigen Hu, Stphane Canu |
| 2016 | ESANN | Converting SVDD scores into probability estimates. | Meriem El Azami, Carole Lartizien, Stphane Canu |
| 2016 | ICIP | NILC: A two level learning algorithm with operator selection. | Igor dos Santos Montagner, Nina Sumiko Tomita Hirata, Roberto Hirata, Stphane Canu |
| 2015 | ESANN | Optimal transport for semi-supervised domain adaptation. | Denis Rousselle, Stphane Canu |
| 2014 | ESANN | Robust outlier detection with L0-SVDD. | Meriem El Azami, Carole Lartizien, Stphane Canu |
| 2014 | ESANN | A robust regularization path for the Doubly Regularized Support Vector Machine. | Antoine Lachaud, Stphane Canu, David Mercier, Frdric Suard |
| 2013 | ACII | Emotional Influence on SSVEP Based BCI. | Yachen Zhu, Xilan Tian, Guobing Wu, Gilles Gasso, Shangfei Wang, Stphane Canu |
| 2013 | ESANN | Detection and quantification in real-time polymerase chain reaction. | Abou Keita, Romain Hrault, Colas Calbrix, Stphane Canu |
| 2011 | ESANN | A Multi-kernel Framework for Inductive Semi-supervised Learning. | Xilan Tian, Gilles Gasso, Stphane Canu |
| 2010 | CIARP | Recent Advances in Kernel Machines. | Stphane Canu |
| 2008 | ESANN | Regularization path for Ranking SVM. | Karina Zapien Arreola, Thomas Grtner, Gilles Gasso, Stphane Canu |
| 2007 | ESANN | Estimation of tangent planes for neighborhood graph correction. | Karina Zapien Arreola, Gilles Gasso, Stphane Canu |
| 2007 | ESANN | Computing and stopping the solution paths for $\nu$-SVR. | Gilles Gasso, Karina Zapien Arreola, Stphane Canu |
| 2007 | ICML | More efficiency in multiple kernel learning. | Alain Rakotomamonjy, Francis R. Bach, Stphane Canu, Yves Grandvalet |
| 2007 | ICMLA | Sparsity regularization path for semi-supervised SVM. | Gilles Gasso, Karina Zapien Arreola, Stphane Canu |
| 2007 | ISNN | Regularization Paths for | Galle Loosli, Gilles Gasso, Stphane Canu |
| 2006 | ICASSP | Estimation of Minimum Measure Sets in Reproducing Kernel Hilbert Spaces and Applications. | Manuel Davy, Frdric Desobry, Stphane Canu |
| 2005 | ESANN | Kernel methods and the exponential family. | Stphane Canu, Alexander J. Smola |
| 2005 | ESANN | Translation invariant classification of non-stationary signals. | Vincent Guigue, Alain Rakotomamonjy, Stphane Canu |
| 2005 | ICML | Heteroscedastic Gaussian process regression. | Quoc V. Le, Alexander J. Smola, Stphane Canu |
| 2004 | ICML | Learning with non-positive kernels. | Cheng Soon Ong, Xavier Mary, Stphane Canu, Alexander J. Smola |
| 2002 | ICANN | Frame Kernels for Learning. | Alain Rakotomamonjy, Stphane Canu |
| 1997 | ICANN | Adaptive Noise Injection for Input Variables Relevance Determination. | Yves Grandvalet, Stphane Canu |
| 1997 | ICANN | Wavelet Frames Based Estimator. | Skander Soltani, Stphane Canu, Daniel Boichu, Yves Grandvalet |
| 1995 | ESANN | Control of complexity in learning with perturbed inputs. | Yves Grandvalet, Stphane Canu, Stphane Boucheron |
| 1993 | IWANN | B-Learning: A Reinforcement Learning Algorithm, Comparison with Dynamic Programming. | Thibault Langlois, Stphane Canu |