| 2025 | DSAA | Operational Evaluation of Algorithms for Online Streaming Continual Multi-Label Classification. | Hugo Peuzet, Pascale Kuntz, Frank Meyer, Vincent Lemaire, Killian Le Mau |
| 2025 | IDEAL | Memory Combination-Based Approaches for Multi-label Classification on Non-Stationary Data Streams. | Xihui Wang, Hugo Peuzet, Pascale Kuntz, Frank Meyer, Vincent Lemaire |
| 2019 | IJCNN | A Count-sketch to Reduce Memory Consumption when Training a Model with Gradient Descent. | Wissam Siblini, Frank Meyer, Pascale Kuntz |
| 2019 | SIGIR | How to Deal with Scarce Annotations in Answer Selection. | Emmanuel Valle, Delphine Charlet, Gabriel Marzinotto, Fabrice Clrot, Frank Meyer |
| 2018 | ICML | CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning. | Wissam Siblini, Frank Meyer, Pascale Kuntz |
| 2017 | PAKDD | Combining Dimensionality Reduction with Random Forests for Multi-label Classification Under Interactivity Constraints. | Noureddine Yassine Nair Benrekia, Pascale Kuntz, Frank Meyer |
| 2012 | RecSys | Toward a New Protocol to Evaluate Recommender Systems. | Frank Meyer, Franoise Fessant, Fabrice Clrot, ric Gaussier |