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ORCIDPegah Alizadeh
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2020 – today
- 2024
[j3]Athanasios Karapantelakis
, Pegah Alizadeh, Abdulrahman Alabassi, Kaushik Dey, Alexandros Nikou:
Generative AI in mobile networks: a survey. Ann. des Télécommunications 79(1-2): 15-33 (2024)- [c19]Théo Zangato, Aomar Osmani, Pegah Alizadeh:
Enhancing Decision-Making in Energy Management Systems Through Action-Independent Dynamics Learning. ECAI 2024: 4571-4578 - [c18]Théo Zangato, Aomar Osmani, Pegah Alizadeh:
Optimisation de la Gestion de l'Énergie par l'Apprentissage par Renforcement et le Clustering de Séries Temporelles pour la Génération de Politiques Individualisées. EGC 2024: 11-22 - 2023
- [c17]Louis Zigrand, Roberto Wolfler Calvo, Emiliano Traversi, Pegah Alizadeh:
Optimization-driven Demand Prediction Framework for Suburban Dynamic Demand-Responsive Transport Systems. IJCAI 2023: 6335-6342 - 2022
- [c16]Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh:
Clustering Approach to Solve Hierarchical Classification Problem Complexity. AAAI 2022: 7904-7912 - [c15]Pegah Alizadeh, Aomar Osmani, Sammy Taleb:
Improving Imitation Learning by Merging Experts Trajectories. CIKM 2022: 3796-3800 - [c14]Charly Alizadeh, Pegah Alizadeh, Miguel F. Anjos, Lucas Létocart, Emiliano Traversi:
How to Learn the Optimal Clique Decompositions in Solving Semidefinite Relaxations for OPF. IJCNN 2022: 1-8 - [c13]Christophe Haikal, Pegah Alizadeh, Christophe Rodrigues, Chongke Bi:
Place embedding across cities in location-based social networks. SAC 2022: 539-546 - 2021
- [j2]Pegah Alizadeh, Emiliano Traversi, Aomar Osmani:
Deterministic policies based on maximum regrets in MDPs with imprecise rewards. AI Commun. 34(4): 229-244 (2021) - [j1]Pegah Alizadeh, Aomar Osmani, Mohamed Essaid Khanouche, Abdelghani Chibani, Yacine Amirat:
Reinforcement Learning for Interactive QoS-Aware Services Composition. IEEE Syst. J. 15(1): 1098-1108 (2021) - [c12]Aomar Osmani, Pegah Alizadeh, Christophe Rodrigues:
Equational Model Guided by Real-time Sensor Data to Monitor Industrial Robots. CASE 2021: 1848-1854 - [c11]Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh:
Hierarchical Learning of Dependent Concepts for Human Activity Recognition. PAKDD (2) 2021: 79-92 - [c10]Louis Zigrand, Pegah Alizadeh, Emiliano Traversi, Roberto Wolfler Calvo:
Machine Learning Guided Optimization for Demand Responsive Transport Systems. ECML/PKDD (4) 2021: 420-436 - [i1]Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh:
Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition. CoRR abs/2104.04889 (2021) - 2020
- [c9]Pegah Alizadeh, Jorge García Flores, Iván Vladimir Meza Ruíz:
Apprentissage par renforcement pour la recherche d'experts sur le web. EGC 2020: 261-268 - [c8]Christophe Rodrigues, Pegah Alizadeh, Dmitry Bondarenko:
Industrie 4.0 : Prédiction de consommation réelle par fine-tuning à partir de simulations. EGC 2020: 413-414 - [c7]Massinissa Hamidi, Aomar Osmani, Pegah Alizadeh:
A multi-view architecture for the SHL challenge. UbiComp/ISWC Adjunct 2020: 317-322
2010 – 2019
- 2019
- [c6]Pegah Alizadeh, Aomar Osmani, Emiliano Traversi:
Calcul d'une politique déterministe dans un MDP avec récompenses imprécises. EGC 2019: 45-56 - 2018
- [c5]Pegah Alizadeh, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Albrecht Zimmermann:
An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse. CICLing (1) 2018: 180-192 - [c4]Pegah Alizadeh, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Albrecht Zimmermann:
Étude Expérimentale d'Extraction d'Information dans des Retranscriptions de Réunions (An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse). CORIA-TALN-RJC (TALN 2) 2018: 465-472 - 2016
- [b1]Pegah Alizadeh:
Elicitation and planning in Markov decision processes with unknown rewards. (Elicitation et planification dans les processus décisionnel de MARKOV avec récompenses inconnues). Université Sorbonne Paris Cité, France, 2016 - [c3]Pegah Alizadeh, Yann Chevaleyre, François Lévy:
Advantage based value iteration for Markov decision processes with unknown rewards. IJCNN 2016: 3837-3844 - [c2]Pegah Alizadeh, Yann Chevaleyre, François Lévy:
Solving MDPs with Unknown Rewards Using Nondominated Vector-Valued Functions. STAIRS 2016: 15-26 - 2015
- [c1]Pegah Alizadeh, Yann Chevaleyre, Jean-Daniel Zucker:
Approximate regret based elicitation in Markov decision process. RIVF 2015: 47-52
Coauthor Index
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last updated on 2024-11-08 21:32 CET by the dblp team
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