| A Neural Networks Committee for the Contextual Bandit Problem R Allesiardo, R Féraud, D Bouneffouf International Conference on Neural Information Processing, 374-381, 2014 | 86 | 2014 |
| Contextual bandit for active learning: Active thompson sampling D Bouneffouf, R Laroche, T Urvoy, R Féraud, R Allesiardo International Conference on Neural Information Processing, 405-412, 2014 | 71 | 2014 |
| The non-stationary stochastic multi-armed bandit problem R Allesiardo, R Féraud, OA Maillard International Journal of Data Science and Analytics 3 (4), 267-283, 2017 | 64 | 2017 |
| Random forest for the contextual bandit problem R Féraud, R Allesiardo, T Urvoy, F Clérot Artificial Intelligence and Statistics, 93-101, 2016 | 49 | 2016 |
| EXP3 with Drift Detection for the Switching Bandit Problem R Allesiardo, R Féraud Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE …, 2015 | 45 | 2015 |
| 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 | 17 | 2018 |
| 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 | 9 | 2021 |
| 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 | 7 | 2020 |
| Selection of Learning Experts R Allesiardo, R Féraud IJCNN 2017, 2017 | 5 | 2017 |
| 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 | 4 | 2020 |
| Bandits Manchots sur Flux de Données Non Stationnaires R Allesiardo Université Paris-Saclay, 2016 | 4 | 2016 |
| Prise de décision contextuelle en bande organisée: Quand les bandits font un brainstorming R Allesiardo, R Féraud, D Bouneffouf CAP'14 3 (16), 11-19, 2014 | 3 | 2014 |
| How we Achieved a Production Ready Slot Filling Deep Neural Network without Initial Natural Language Data F Torregrossa, N Kooli, R Allesiardo, E Pigneul International Conference on Neural Information Processing, 2019 | 2 | 2019 |
| Unsupervised Tree Extraction in Embedding Spaces for Taxonomy Induction F Torregrossa, R Allesiardo, V Claveau, G Gravier Proceedings of the WI-IAT Conference, 2021 | 1 | 2021 |
| Random Forest for the Contextual Bandit Problem-extended version R Féraud, R Allesiardo, T Urvoy, F Clérot arXiv preprint arXiv:1504.06952, 2015 | 1 | 2015 |
| 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 |
| Online decision Server R Féraud, T Urvoy, R Allesiardo, F Clérot, N Voisine | | 2015 |
| Un Algorithme pour le Probleme des Bandits Manchots avec Stationnarité par Parties R Allesiardo, R Féraud CAP'2015, 2015 | | 2015 |
Raphaël FéraudOrange LabsVerified email at orange.com
