| 2023 | ICTAI | RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression. | Vivien Kraus, Khalid Benabdeslem, Seif-Eddine Benkabou, Dou El Kefel Mansouri, Bruno Canitia |
| 2022 | IJCNN | Nonparametric neural topic modeling for customer insight extraction about the tire industry. | Miguel Palencia-Olivar, Stphane Bonnevay, Alexandre Aussem, Bruno Canitia |
| 2021 | IJCNN | Deep Multi-View Learning for Tire Recommendation. | Thomas Ranvier, Khalid Benabdeslem, Kilian Bourhis, Bruno Canitia |
| 2021 | MDAI | Neural Embedded Dirichlet Processes for Topic Modeling. | Miguel Palencia-Olivar, Stphane Bonnevay, Alexandre Aussem, Bruno Canitia |
| 2020 | IJCNN | Data augmentation process to improve deep learning-based NER task in the automotive industry field. | Abdenacer Keraghel, Khalid Benabdeslem, Bruno Canitia |
| 2020 | IJCNN | Laplacian-based Semi-supervised Multi-Label Regression. | Vivien Kraus, Khalid Benabdeslem, Bruno Canitia |
| 2017 | IJCNN | ℓ2-type regularization-based unsupervised anomaly detection from temporal data. | Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia |
| 2017 | PAKDD | Local-to-Global Unsupervised Anomaly Detection from Temporal Data. | Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia |