Djallel Bouneffouf  Djallel Bouneffouf photo       

contact information

Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash2951

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2017

Bandit Models of Human Behavior: Reward Processing in Mental Disorders
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi
Artificial General Intelligence (AGI-2017)
Abstract

Context Attentive Bandits: Contextual Bandit with Restricted Context
Bouneffouf, Djallel and Rish, Irina and Cecchi, Guillermo A and Feraud, Raphael
IJCAI 2017
Abstract


2016

Multi-armed Bandit Problem with Known Trend
Djallel Bouneffouf, Rapha\"el F\'eraud
Neurocomputing, 2016

Exponentiated Gradient Exploration for Active Learning
Djallel Bouneffouf
Computers 5(1), 2016


2015

Sampling with minimum sum of squared similarities for Nystr\"om-based large scale spectral clustering
Djallel Bouneffouf, Inanc Birol
Proceedings of the 23rd International Joint Conference on Artificial Intelligence, 2015


2014

Recommandation mobile, sensible au contexte de contenus evolutifs: Contextuel-E-Greedy
Djallel Bouneffouf
arXiv preprint arXiv:1402.1986, 2014

Freshness-Aware Thompson Sampling
Djallel Bouneffouf
International Conference on Neural Information Processing, pp. 373--380, 2014

Context-Based Information Retrieval in Risky Environment
Djallel Bouneffouf
Australian Journal of Intelligent Information Processing Systems 14(2), http--cs, 2014

Prise de d\'ecision contextuelle en bande organis\'ee: Quand les bandits font un brainstorming
Robin Allesiardo, Rapha\"el F\'eraud, Djallel Bouneffouf
CAP'14 3(16), 11--19, 2014

Contextual bandit for active learning: Active thompson sampling
Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphael F\'eraud, Robin Allesiardo
International Conference on Neural Information Processing, pp. 405--412, 2014

A neural networks committee for the contextual bandit problem
Robin Allesiardo, Rapha\"el F\'eraud, Djallel Bouneffouf
International Conference on Neural Information Processing, pp. 374--381, 2014


2013

Contextual bandits for context-based information retrieval
Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gan\c{c}arski
International Conference on Neural Information Processing, pp. 35--42, 2013

Risk-aware recommender systems
Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Ganarski
International Conference on Neural Information Processing, pp. 57--65, 2013

DRARS, A Dynamic Risk-Aware Recommender System
Djallel Bouneffouf
Ph.D. Thesis, 2013


2012

Considering the High Level Critical Situations in Context-Aware Recommender Systems
Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gan\c{c}arski
2nd International Workshop on Information Management for Mobile Applications, pp. 26, 2012

Exploration/exploitation trade-off in mobile context-aware recommender systems
Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gan\c{c}arski
Australasian Joint Conference on Artificial Intelligence, pp. 591--601, 2012

Hybrid-$\varepsilon$-greedy for mobile context-aware recommender system
Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gan\c{c}arski
Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 468--479, 2012

A contextual-bandit algorithm for mobile context-aware recommender system
Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gan\c{c}arski
International Conference on Neural Information Processing, pp. 324--331, 2012

Following the User's Interests in Mobile Context-Aware Recommender Systems: The Hybrid-e-greedy Algorithm
Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gancarski
Advanced Information Networking and Applications Workshops (WAINA), 2012 26th International Conference on, pp. 657--662