LISTEN: A System for Locating and Tracking Individual Speakers. - Michel Collobert; Raphaël Féraud; G. Le Tourneur; Olivier Bernier; Jean-Emmanuel Viallet; Yannick Mahieux; Daniel Collobert (FG, 1996)

A Conditional Mixture of Neural Networks for Face Detection, Applied to Locating and Tracking an Individual Speaker. - Raphaël Féraud; Olivier Bernier; Jean-Emmanuel Viallet; Michel Collobert; Daniel Collobert (CAIP, 1997)

Ensemble and Modular Approaches for Face Detection: A Comparison. - Raphaël Féraud; Olivier Bernier (NIPS, 1997)

A Constrained Generative Model Applied to Face Detection. - Raphaël Féraud; Olivier Bernier; Daniel Collobert (Neural Process. Lett., 1997)

Panorama: A What I See Is What I Want Contactless Visual Interface. - Jean-Emmanuel Viallet; Michel Collobert; Raphaël Féraud; Olivier Bernier (FG, 1998)

MULTRAK: A System for Automatic Multiperson Localization and Tracking in Real-Time. - Olivier Bernier; Michel Collobert; Raphaël Féraud; Vincent Lemaire 001; Jean-Emmanuel Viallet; Daniel Collobert (ICIP (1), 1998)

A Fast and Accurate Face Detector for Indexation of Face Images. - Raphaël Féraud; Olivier Bernier; Jean-Emmanuel Viallet; Michel Collobert (FG, 2000)

Kalman and Neural Network Approaches for the Control of a VP Bandwidth in an ATM Network. - Raphaël Féraud; Fabrice Clérot; Jean-Louis Simon; Daniel Pallou; Cyril Labbé; Serge Martin (NETWORKING, 2000)

A Fast and Accurate Face Detector Based on Neural Networks. - Raphaël Féraud; Olivier Bernier; Jean-Emmanuel Viallet; Michel Collobert (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

A methodology to explain neural network classification. - Raphaël Féraud; Fabrice Clérot (Neural Networks, 2002)

Driven Forward Features Selection: A Comparative Study on Neural Networks. - Vincent Lemaire 001; Raphaël Féraud (ICONIP (2), 2006)

Vers l'échantillonnage d'un entrepôt de données. - Raphaël Féraud; Fabrice Clérot (EDA, 2007)

Une méthode d'interprétation de scores. - Vincent Lemaire 001; Raphaël Féraud (EGC, 2007)

Vers l'exploitation de grandes masses de données. - Raphaël Féraud; Marc Boullé; Fabrice Clérot; Françoise Fessant (EGC, 2008)

Contact personalization using a score understanding method. - Vincent Lemaire 001; Raphaël Féraud; Nicolas Voisine (IJCNN, 2008)

Modelling Complex Data by Learning Which Variable to Construct. - Françoise Fessant; Aurélie Le Cam; Marc Boullé; Raphaël Féraud (DaWak, 2010)

The Orange Customer Analysis Platform. - Raphaël Féraud; Marc Boullé; Fabrice Clérot; Françoise Fessant; Vincent Lemaire 001 (ICDM, 2010)

A stochastic bandit algorithm for scratch games. - Raphaël Féraud; Tanguy Urvoy (ACML, 2012)

Generic Exploration and K-armed Voting Bandits. - Tanguy Urvoy; Fabrice Clérot; Raphaël Féraud; Sami Naamane (ICML (2), 2013)

Exploration and exploitation of scratch games. - Raphaël Féraud; Tanguy Urvoy (Mach. Learn., 2013)

A Neural Networks Committee for the Contextual Bandit Problem. - Robin Allesiardo; Raphaël Féraud; Djallel Bouneffouf 001 (ICONIP (1), 2014)

Contextual Bandit for Active Learning: Active Thompson Sampling. - Djallel Bouneffouf 001; Romain Laroche; Tanguy Urvoy; Raphaël Féraud; Robin Allesiardo (ICONIP (1), 2014)

EXP3 with drift detection for the switching bandit problem. - Robin Allesiardo; Raphaël Féraud (DSAA, 2015)

Decision Tree Algorithms for the Contextual Bandit Problem. - Raphaël Féraud; Robin Allesiardo; Tanguy Urvoy; Fabrice Clérot (CoRR, 2015)

Random Forest for the Contextual Bandit Problem. - Raphaël Féraud; Robin Allesiardo; Tanguy Urvoy; Fabrice Clérot (AISTATS, 2016)

Random Shuffling and Resets for the Non-stationary Stochastic Bandit Problem. - Robin Allesiardo; Raphaël Féraud; Odalric-Ambrym Maillard (CoRR, 2016)

Multi-armed bandit problem with known trend. - Djallel Bouneffouf 001; Raphaël Féraud (Neurocomputing, 2016)

Context Attentive Bandits: Contextual Bandit with Restricted Context. - Djallel Bouneffouf 001; Irina Rish; Guillermo A. Cecchi; Raphaël Féraud (IJCAI, 2017)

Selection of learning experts. - Robin Allesiardo; Raphaël Féraud (IJCNN, 2017)

Algorithm selection of off-policy reinforcement learning algorithm. - Romain Laroche; Raphaël Féraud (CoRR, 2017)

The non-stationary stochastic multi-armed bandit problem. - Robin Allesiardo; Raphaël Féraud; Odalric-Ambrym Maillard (Int. J. Data Sci. Anal., 2017)

Reinforcement Learning Algorithm Selection. - Romain Laroche; Raphaël Féraud (ICLR (Poster), 2018)

Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms. - Raouf Kerkouche; Réda Alami; Raphaël Féraud; Nadège Varsier; Patrick Maillé (ICT, 2018)

Reinforcement Learning Techniques for Optimized Channel Hopping in IEEE 802.15.4-TSCH Networks. - Hiba Dakdouk; Erika Tarazona; Réda Alami; Raphaël Féraud; Georgios Z. Papadopoulos; Patrick Maillé (MSWiM, 2018)

Decentralized Exploration in Multi-Armed Bandits. - Raphaël Féraud; Réda Alami; Romain Laroche (ICML, 2019)

Collaborative Exploration in Stochastic Multi-Player Bandits. - Hiba Dakdouk; Raphaël Féraud; Nadège Varsier; Patrick Maillé (ACML, 2020)

Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay. - Réda Alami; Odalric Maillard; Raphaël Féraud (ICML, 2020)

Horizontal Scaling in Cloud Using Contextual Bandits. - David Delande; Patricia Stolf; Raphaël Féraud; Jean-Marc Pierson; André Bottaro (Euro-Par, 2021)

Toward Skills Dialog Orchestration with Online Learning. - Djallel Bouneffouf 001; Raphaël Féraud; Sohini Upadhyay; Mayank Agarwal; Yasaman Khazaeni; Irina Rish (ICASSP, 2021)

Double-Linear Thompson Sampling for Context-Attentive Bandits. - Djallel Bouneffouf 001; Raphaël Féraud; Sohini Upadhyay; Yasaman Khazaeni; Irina Rish (ICASSP, 2021)

Toward Optimal Solution for the Context-Attentive Bandit Problem. - Djallel Bouneffouf 001; Raphaël Féraud; Sohini Upadhyay; Irina Rish; Yasaman Khazaeni (IJCAI, 2021)

Batched Bandits with Crowd Externalities. - Romain Laroche; Othmane Safsafi; Raphaël Féraud; Nicolas Broutin (CoRR, 2021)

On the relevance of bandit algorithms in digital world. - Raphaël Féraud (2023)

Question Answering System with Sparse and Noisy Feedback. - Djallel Bouneffouf 001; Oznur Alkan; Raphaël Féraud; Baihan Lin (ICASSP, 2023)

Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits. - Sharyal Zafar; Raphaël Féraud; Anne Blavette; Guy Camilleri; Hamid Ben Ahmed (CoRR, 2023)

Massive multi-player multi-armed bandits for IoT networks: An application on LoRa networks. - Hiba Dakdouk; Raphaël Féraud; Nadège Varsier; Patrick Maillé; Romain Laroche (Ad Hoc Networks, 2023)

Training Data Generation Strategies for Data-driven Security Assessment of Low Voltage Smart Grids. - Juan J. Cuenca; Emanuel Aldea; Eloann Le Guern-Dall'o; Raphaël Féraud; Guy Camilleri; Anne Blavette (ISGT EUROPE, 2024)

Recharge intelligente décentralisée de véhicules électriques à l'aide d'un système multi-agent adaptatif utilisant des bandits manchots. - Sharyal Zafar; Raphaël Féraud; Anne Blavette; Guy Camilleri; Hamid Ben Ahmed (JFSMA, 2024)

A Tutorial on Multi-Armed Bandit Applications for Large Language Models. - Djallel Bouneffouf 001; Raphaël Féraud (KDD, 2024)

Multi-Armed Bandit with Sparse and Noisy Feedback. - Djallel Bouneffouf 001; Raphaël Féraud; Baihan Lin (ICASSP Workshops, 2025)

Multi-Armed Bandits Meet Large Language Models. - Djallel Bouneffouf 001; Raphaël Féraud (CoRR, 2025)