| A neural networks committee for the contextual bandit problem R Allesiardo, R Féraud, D Bouneffouf Neural Information Processing: 21st International Conference, ICONIP 2014 …, 2014 | 110 | 2014 |
| Contextual bandit for active learning: Active thompson sampling D Bouneffouf, R Laroche, T Urvoy, R Féraud, R Allesiardo Neural Information Processing: 21st International Conference, ICONIP 2014 …, 2014 | 94 | 2014 |
| The non-stationary stochastic multi-armed bandit problem R Allesiardo, R Féraud, OA Maillard International Journal of Data Science and Analytics 3, 267-283, 2017 | 82 | 2017 |
| Random forest for the contextual bandit problem R Féraud, R Allesiardo, T Urvoy, F Clérot Artificial intelligence and statistics, 93-101, 2016 | 66 | 2016 |
| Exp3 with drift detection for the switching bandit problem R Allesiardo, R Féraud 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 48 | 2015 |
| A survey on training and evaluation of word embeddings F Torregrossa, R Allesiardo, V Claveau, N Kooli, G Gravier International Journal of Data Science and Analytics 11 (2), 85-103, 2021 | 37 | 2021 |
| Deep learning based approach for entity resolution in databases N Kooli, R Allesiardo, E Pigneul Asian conference on intelligent information and database systems, 3-12, 2018 | 35 | 2018 |
| On the correlation of word embedding evaluation metrics F Torregrossa, V Claveau, N Kooli, G Gravier, R Allesiardo Proceedings of the 12th Conference on Language Resources and Evaluation …, 2020 | 12 | 2020 |
| A correlation-based entity embedding approach for robust entity linking CB El Vaigh, F Torregrossa, R Allesiardo, G Gravier, P Sébillot 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 7 | 2020 |
| Selection of learning experts R Allesiardo, R Féraud 2017 International Joint Conference on Neural Networks (IJCNN), 1005-1010, 2017 | 7 | 2017 |
| Bandits manchots sur flux de données non stationnaires R Allesiardo Université Paris Saclay (COmUE), 2016 | 4 | 2016 |
| Prise de décision contextuelle en bande organisée: Quand les bandits font un brainstorming R Allesiardo, R Féraud, D Bouneffouf CAP'14, 11-19, 2014 | 3 | 2014 |
| Unsupervised tree extraction in embedding spaces for taxonomy induction F Torregrossa, R Allesiardo, V Claveau, G Gravier IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent …, 2021 | 2 | 2021 |
| How we achieved a production ready slot filling deep neural network without initial natural language data F Torregrossa, N Kooli, R Allesiardo, E Pigneul Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 2 | 2019 |
| A Practical Approach to Intelligent Spoken Dialogue for Third-Party Applications on Home Devices with Linear Bandits R Allesiardo, C Sauldubois, F Depaulis, N Bulteau, F Chantrel, E Pigneul Advances in Knowledge Discovery and Management: Volume 9, 65-76, 2022 | | 2022 |
| Une méthodologie pour l’implémentation d’applications tierces intelligentes à destination des assistants vocaux via des bandits linéaires R Allesiardo, C Sauldubois, F Depaulis, N Bulteau, F Chantrel, E Pigneul Extraction et Gestion des Connaissances: Actes de la conférence EGC'2019 79, 2019 | | 2019 |
| Un Algorithme pour le Probleme des Bandits Manchots avec Stationnarité par Parties R Allesiardo, R Féraud | | |
