| 2020 | ICTAI | A correlation-based entity embedding approach for robust entity linking. | Cheikh Brahim El Vaigh, Franois Torregrossa, Robin Allesiardo, Guillaume Gravier, Pascale Sbillot |
| 2020 | LREC | On the Correlation of Word Embedding Evaluation Metrics. | Franois Torregrossa, Vincent Claveau, Nihel Kooli, Guillaume Gravier, Robin Allesiardo |
| 2019 | ICONIP | How We Achieved a Production Ready Slot Filling Deep Neural Network Without Initial Natural Language Data. | Franois Torregrossa, Nihel Kooli, Robin Allesiardo, Erwan Pigneul |
| 2018 | ACIIDS | Deep Learning Based Approach for Entity Resolution in Databases. | Nihel Kooli, Robin Allesiardo, Erwan Pigneul |
| 2017 | IJCNN | Selection of learning experts. | Robin Allesiardo, Raphal Fraud |
| 2016 | AISTATS | Random Forest for the Contextual Bandit Problem. | Raphal Fraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clrot |
| 2015 | DSAA | EXP3 with drift detection for the switching bandit problem. | Robin Allesiardo, Raphal Fraud |
| 2014 | ICONIP | A Neural Networks Committee for the Contextual Bandit Problem. | Robin Allesiardo, Raphal Fraud, Djallel Bouneffouf |
| 2014 | ICONIP | Contextual Bandit for Active Learning: Active Thompson Sampling. | Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphal Fraud, Robin Allesiardo |