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Djallel Bouneffouf 0001
Person information
- affiliation: IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA
- affiliation (former): University of British Columbia, Genome Sciences Centre, Vancouver, BC, Canada
- affiliation (former): Orange Labs, Lannion, France
- affiliation (PhD 2013): Telecom & Management SudParis, Évry, Essonne, France
Other persons with the same name
- Djallel Bouneffouf 0002 — University of Sciences and Technology Houari Boumediene, Algiers, Algeria
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2020 – today
- 2024
- [c57]Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf:
Working Alliance Transformer for Psychotherapy Dialogue Classification. ClinicalNLP@NAACL 2024: 64-69 - [c56]Aylin Gunal, Baihan Lin, Djallel Bouneffouf:
Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models. ClinicalNLP@NAACL 2024: 196-201 - [c55]Inkit Padhi, Pierre L. Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar, Matthew Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf:
ComVas: Contextual Moral Values Alignment System. IJCAI 2024: 8759-8762 - [c54]Djallel Bouneffouf
, Raphaël Féraud
A Tutorial on Multi-Armed Bandit Applications for Large Language Models. KDD 2024: 6412-6413 - [i64]Baihan Lin, Djallel Bouneffouf, Yulia Landa, Rachel Jespersen, Cheryl Corcoran, Guillermo A. Cecchi:
COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling. CoRR abs/2402.14701 (2024) - [i63]Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR abs/2403.06009 (2024) - [i62]Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney:
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR abs/2403.09704 (2024) - [i61]Pierre L. Dognin, Jesus Rios, Ronny Luss, Inkit Padhi, Matthew D. Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf:
Contextual Moral Value Alignment Through Context-Based Aggregation. CoRR abs/2403.12805 (2024) - [i60]Aylin Gunal, Baihan Lin, Djallel Bouneffouf:
Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models. CoRR abs/2405.05060 (2024) - [i59]Shun Ide, Allison Blunt, Djallel Bouneffouf:
Assessing AI Rationality: The Random Guesser Test for Sequential Decision-Making Systems. CoRR abs/2407.20276 (2024) - 2023
- [c53]Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori:
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. ClinicalNLP@ACL 2023: 439-446 - [c52]Djallel Bouneffouf, Oznur Alkan, Raphaël Féraud, Baihan Lin:
Question Answering System with Sparse and Noisy Feedback. ICASSP 2023: 1-5 - [c51]Djallel Bouneffouf, Mayank Agarwal, Irina Rish:
Dialogue System with Missing Observation. ICASSP 2023: 1-5 - [c50]Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf:
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. IJCAI 2023: 7149-7153 - [c49]Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf:
Helping Therapists with NLP-Annotated Recommendation 17-24. IUI Workshops 2023: 17-24 - [c48]Qinyi Chen, Negin Golrezaei, Djallel Bouneffouf:
Non-Stationary Bandits with Auto-Regressive Temporal Dependency. NeurIPS 2023 - [c47]Baihan Lin
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. WWW (Companion Volume) 2023: 932-939 - [c46]Sarah Boufelja Yacobi
Robust Stochastic Multi-Armed Bandits with Historical Data. WWW (Companion Volume) 2023: 959-965 - [i58]Baihan Lin, Djallel Bouneffouf, Irina Rish:
A Survey on Compositional Generalization in Applications. CoRR abs/2302.01067 (2023) - [i57]Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi:
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts. CoRR abs/2302.10845 (2023) - [i56]Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf:
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. CoRR abs/2303.09601 (2023) - [i55]Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Kush R. Varshney:
Towards Healthy AI: Large Language Models Need Therapists Too. CoRR abs/2304.00416 (2023) - [i54]Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori:
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. CoRR abs/2306.03902 (2023) - [i53]Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei, Djallel Bouneffouf:
Interpolating Item and User Fairness in Recommendation Systems. CoRR abs/2306.10050 (2023) - 2022
- [j6]Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk, Christopher K. King, Djallel Bouneffouf, Andrew Cullen, Robert Shorten:
Reinforcement learning with algorithms from probabilistic structure estimation. Autom. 144: 110483 (2022) - [c45]Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea:
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization. AAAI 2022: 10228-10237 - [c44]Baihan Lin
Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. FUZZ-IEEE 2022: 1-8 - [c43]Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu:
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. IJCAI 2022: 1714-1720 - [c42]Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni:
Linear Upper Confident Bound with Missing Reward: Online Learning with Less Data. IJCNN 2022: 1-6 - [c41]Baihan Lin
Predicting Human Decision Making with LSTM. IJCNN 2022: 1-8 - [c40]Baihan Lin
Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. PRICAI (3) 2022: 134-147 - [c39]Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart:
Linearizing contextual bandits with latent state dynamics. UAI 2022: 1477-1487 - [i52]Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf:
Deep Annotation of Therapeutic Working Alliance in Psychotherapy. CoRR abs/2204.05522 (2022) - [i51]Baihan Lin
Neural Topic Modeling of Psychotherapy Sessions. CoRR abs/2204.10189 (2022) - [i50]Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe:
Targeted Advertising on Social Networks Using Online Variational Tensor Regression. CoRR abs/2208.10627 (2022) - [i49]Djallel Bouneffouf, Charu C. Aggarwal:
Survey on Applications of Neurosymbolic Artificial Intelligence. CoRR abs/2209.12618 (2022) - [i48]Baihan Lin
Working Alliance Transformer for Psychotherapy Dialogue Classification. CoRR abs/2210.15603 (2022) - [i47]Qinyi Chen, Negin Golrezaei, Djallel Bouneffouf:
Dynamic Bandits with an Auto-Regressive Temporal Structure. CoRR abs/2210.16386 (2022) - 2021
- [c38]Djallel Bouneffouf:
Corrupted Contextual Bandits: Online Learning with Corrupted Context. ICASSP 2021: 3145-3149 - [c37]Djallel Bouneffouf, Emmanuelle Claeys:
Online Hyper-Parameter Tuning for the Contextual Bandit. ICASSP 2021: 3445-3449 - [c36]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish:
Double-Linear Thompson Sampling for Context-Attentive Bandits. ICASSP 2021: 3450-3454 - [c35]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish:
Toward Skills Dialog Orchestration with Online Learning. ICASSP 2021: 3600-3604 - [c34]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni:
Toward Optimal Solution for the Context-Attentive Bandit Problem. IJCAI 2021: 3493-3500 - [i46]Djallel Bouneffouf:
Etat de l'art sur l'application des bandits multi-bras. CoRR abs/2101.00001 (2021) - [i45]Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk, Christopher K. King, Djallel Bouneffouf, Andrew Cullen, Robert Shorten:
Reinforcement Learning with Algorithms from Probabilistic Structure Estimation. CoRR abs/2103.08241 (2021) - [i44]Baihan Lin, Djallel Bouneffouf:
Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. CoRR abs/2106.15808 (2021) - 2020
- [c33]Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray:
An ADMM Based Framework for AutoML Pipeline Configuration. AAAI 2020: 4892-4899 - [c32]Shubham Sharma, Yunfeng Zhang, Jesús M. Ríos Aliaga, Djallel Bouneffouf, Vinod Muthusamy, Kush R. Varshney:
Data Augmentation for Discrimination Prevention and Bias Disambiguation. AIES 2020: 358-364 - [c31]Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish:
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. AAMAS 2020: 744-752 - [c30]Djallel Bouneffouf, Irina Rish, Charu C. Aggarwal:
Survey on Applications of Multi-Armed and Contextual Bandits. CEC 2020: 1-8 - [c29]Baihan Lin
Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. HBAI@IJCAI 2020: 14-33 - [c28]Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray:
Survey on Automated End-to-End Data Science? IJCNN 2020: 1-9 - [i43]Djallel Bouneffouf, Emmanuelle Claeys:
Hyper-parameter Tuning for the Contextual Bandit. CoRR abs/2005.02209 (2020) - [i42]Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish:
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. CoRR abs/2005.04544 (2020) - [i41]Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi:
Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. CoRR abs/2006.06580 (2020) - [i40]Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray:
Solving Constrained CASH Problems with ADMM. CoRR abs/2006.09635 (2020) - [i39]Djallel Bouneffouf:
Online learning with Corrupted context: Corrupted Contextual Bandits. CoRR abs/2006.15194 (2020) - [i38]Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni:
Contextual Bandit with Missing Rewards. CoRR abs/2007.06368 (2020) - [i37]Djallel Bouneffouf:
Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling. CoRR abs/2007.11416 (2020) - [i36]Djallel Bouneffouf:
Computing the Dirichlet-Multinomial Log-Likelihood Function. CoRR abs/2007.11967 (2020) - [i35]Pu Zhao, Sijia Liu, Parikshit Ram, Songtao Lu, Djallel Bouneffouf, Xue Lin:
Learned Fine-Tuner for Incongruous Few-Shot Learning. CoRR abs/2009.13714 (2020) - [i34]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish:
Double-Linear Thompson Sampling for Context-Attentive Bandits. CoRR abs/2010.09473 (2020) - [i33]Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi:
Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks. CoRR abs/2010.11413 (2020) - [i32]Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, Djallel Bouneffouf:
Online Semi-Supervised Learning with Bandit Feedback. CoRR abs/2010.12574 (2020)
2010 – 2019
- 2019
- [j5]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei
Using multi-armed bandits to learn ethical priorities for online AI systems. IBM J. Res. Dev. 63(4/5): 1:1-1:13 (2019) - [j4]Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei
Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM J. Res. Dev. 63(4/5): 2:1-2:9 (2019) - [c27]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Incorporating Behavioral Constraints in Online AI Systems. AAAI 2019: 3-11 - [c26]Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini:
Scalable Recollections for Continual Lifelong Learning. AAAI 2019: 1352-1359 - [c25]Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf:
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. ICML 2019: 1193-1202 - [c24]Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba:
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit. IJCAI 2019: 2016-2022 - [c23]Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi:
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. IJCAI 2019: 6377-6381 - [c22]Baihan Lin
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. IJCAI 2019: 6448-6449 - [i31]Djallel Bouneffouf, Irina Rish:
A Survey on Practical Applications of Multi-Armed and Contextual Bandits. CoRR abs/1904.10040 (2019) - [i30]Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R. Conn, Horst Samulowitz, Alexander G. Gray:
Automated Machine Learning via ADMM. CoRR abs/1905.00424 (2019) - [i29]Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba:
Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit. CoRR abs/1906.03979 (2019) - [i28]Sohini Upadhyay, Mayank Agarwal, Djallel Bouneffouf, Yasaman Khazaeni:
A Bandit Approach to Posterior Dialog Orchestration Under a Budget. CoRR abs/1906.09384 (2019) - [i27]Baihan Lin
Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders. CoRR abs/1906.11286 (2019) - [i26]Baihan Lin
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. CoRR abs/1906.12350 (2019) - [i25]Charu C. Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray:
How can AI Automate End-to-End Data Science? CoRR abs/1910.14436 (2019) - 2018
- [c21]Baihan Lin
Contextual Bandit with Adaptive Feature Extraction. ICDM Workshops 2018: 937-944 - [c20]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation. IJCAI 2018: 5802-5804 - [c19]Djallel Bouneffouf:
Eigenspectrum Shape Based Nyström Sampling. IJCNN 2018: 1-6 - [i24]Baihan Lin
Adaptive Representation Selection in Contextual Bandit with Unlabeled History. CoRR abs/1802.00981 (2018) - [i23]Anna Choromanska, Sadhana Kumaravel, Ronny Luss, Irina Rish, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf:
Beyond Backprop: Alternating Minimization with co-Activation Memory. CoRR abs/1806.09077 (2018) - [i22]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Incorporating Behavioral Constraints in Online AI Systems. CoRR abs/1809.05720 (2018) - [i21]Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi:
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration. CoRR abs/1809.08343 (2018) - 2017
- [c18]Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi:
Bandit Models of Human Behavior: Reward Processing in Mental Disorders. AGI 2017: 237-248 - [c17]Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud:
Context Attentive Bandits: Contextual Bandit with Restricted Context. IJCAI 2017: 1468-1475 - [i20]Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud:
Context Attentive Bandits: Contextual Bandit with Restricted Context. CoRR abs/1705.03821 (2017) - [i19]Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi:
Bandit Models of Human Behavior: Reward Processing in Mental Disorders. CoRR abs/1706.02897 (2017) - 2016
- [j3]Djallel Bouneffouf:
Exponentiated Gradient Exploration for Active Learning. Comput. 5(1): 1 (2016) - [j2]Djallel Bouneffouf
Multi-armed bandit problem with known trend. Neurocomputing 205: 16-21 (2016) - [c16]Djallel Bouneffouf:
Finite-time analysis of the multi-armed bandit problem with known trend. CEC 2016: 2543-2549 - [c15]Djallel Bouneffouf:
Contextual bandit algorithm for risk-aware recommender systems. CEC 2016: 4667-4674 - [c14]Djallel Bouneffouf, Inanç Birol:
Ensemble Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering. IJCNN 2016: 3851-3855 - [c13]Djallel Bouneffouf, Inanç Birol:
Theoretical analysis of the Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering. IJCNN 2016: 3856-3862 - 2015
- [c12]Djallel Bouneffouf, Inanç Birol:
Sampling with Minimum Sum of Squared Similarities for Nystrom-Based Large Scale Spectral Clustering. IJCAI 2015: 2313-2319 - 2014
- [j1]Djallel Bouneffouf:
Context-Based Information Retrieval in Risky Environment. Aust. J. Intell. Inf. Process. Syst. 14(1) (2014) - [c11]Djallel Bouneffouf:
Freshness-Aware Thompson Sampling. ICONIP (3) 2014: 373-380 - [c10]Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf:
A Neural Networks Committee for the Contextual Bandit Problem. ICONIP (1) 2014: 374-381 - [c9]Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo:
Contextual Bandit for Active Learning: Active Thompson Sampling. ICONIP (1) 2014: 405-412 - [i18]Djallel Bouneffouf:
Recommandation mobile, sensible au contexte de contenus évolutifs: Contextuel-E-Greedy. CoRR abs/1402.1986 (2014) - [i17]Djallel Bouneffouf:
Étude des dimensions spécifiques du contexte dans un système de filtrage d'informations. CoRR abs/1405.6287 (2014) - [i16]Djallel Bouneffouf:
R-UCB: a Contextual Bandit Algorithm for Risk-Aware Recommender Systems. CoRR abs/1408.2195 (2014) - [i15]Djallel Bouneffouf:
Exponentiated Gradient Exploration for Active Learning. CoRR abs/1408.2196 (2014) - [i14]Djallel Bouneffouf:
Context-Based Information Retrieval in Risky Environment. CoRR abs/1409.7729 (2014) - [i13]Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf:
A Neural Networks Committee for the Contextual Bandit Problem. CoRR abs/1409.8191 (2014) - [i12]Djallel Bouneffouf:
Freshness-Aware Thompson Sampling. CoRR abs/1409.8572 (2014) - 2013
- [b1]Djallel Bouneffouf:
DRARS, A Dynamic Risk-Aware Recommender System. Telecom & Management SudParis, Évry, Essonne, France, 2013 - [c8]Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski:
Contextual Bandits for Context-Based Information Retrieval. ICONIP (2) 2013: 35-42 - [c7]Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski:
Risk-Aware Recommender Systems. ICONIP (1) 2013: 57-65 - [i11]Djallel Bouneffouf:
Applying machine learning techniques to improve user acceptance on ubiquitous environement. CoRR abs/1301.4351 (2013) - [i10]Djallel Bouneffouf:
Situation-Aware Approach to Improve Context-based Recommender System. CoRR abs/1303.0481 (2013) - [i9]Djallel Bouneffouf:
Optimizing an Utility Function for Exploration / Exploitation Trade-off in Context-Aware Recommender System. CoRR abs/1303.0485 (2013) - [i8]Djallel Bouneffouf:
Improving adaptation of ubiquitous recommander systems by using reinforcement learning and collaborative filtering. CoRR abs/1303.2308 (2013) - [i7]Djallel Bouneffouf:
Proposition d'une technique de gestion de projet dans les startups. CoRR abs/1303.2317 (2013) - [i6]Djallel Bouneffouf:
Hybrid Q-Learning Applied to Ubiquitous recommender system. CoRR abs/1303.2651 (2013) - [i5]Djallel Bouneffouf:
The Impact of Situation Clustering in Contextual-Bandit Algorithm for Context-Aware Recommender Systems. CoRR abs/1304.3845 (2013) - [i4]Djallel Bouneffouf:
Towards User Profile Modelling in Recommender System. CoRR abs/1305.1114 (2013) - [i3]Djallel Bouneffouf:
Mobile Recommender Systems Methods: An Overview. CoRR abs/1305.1745 (2013) - [i2]Djallel Bouneffouf:
Evolution of the user's content: An Overview of the state of the art. CoRR abs/1305.1787 (2013) - [i1]Djallel Bouneffouf:
Exponentiated Gradient LINUCB for Contextual Multi-Armed Bandits. CoRR abs/1305.2415 (2013) - 2012
- [c6]Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski:
Following the User's Interests in Mobile Context-Aware Recommender Systems: The Hybrid-e-greedy Algorithm. AINA Workshops 2012: 657-662 - [c5]Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski:
Exploration / Exploitation Trade-Off in Mobile Context-Aware Recommender Systems. Australasian Conference on Artificial Intelligence 2012: 591-601 - [c4]Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski:
A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System. ICONIP (3) 2012: 324-331 - [c3]Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski:
Considering the High Level Critical Situations in Context-Aware Recommender Systems. IMMoA 2012: 26-32 - [c2]Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski:
Hybrid-ε-greedy for Mobile Context-Aware Recommender System. PAKDD (1) 2012: 468-479 - 2011
- [c1]Djallel Bouneffouf:
Applying Machine Learning Techniques to Improve User Acceptance on Ubiquitous Environment. CAiSE (Doctoral Consortium) 2011: 3-14
Coauthor Index
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last updated on 2024-10-21 20:27 CEST by the dblp team
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