Pegah Alizadeh

According to our database, Pegah Alizadeh authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generative AI in mobile networks: a survey.

Athanasios Karapantelakis, Pegah Alizadeh, Abdulrahman Alabassi, Kaushik Dey, Alexandros Nikou

Ann. des Télécommunications, February, 2024

Optimisation de la Gestion de l'Énergie par l'Apprentissage par Renforcement et le Clustering de Séries Temporelles pour la Génération de Politiques Individualisées.

Théo Zangato, Aomar Osmani, Pegah Alizadeh

Proceedings of the Extraction et Gestion des Connaissances, 2024

Enhancing Decision-Making in Energy Management Systems Through Action-Independent Dynamics Learning.

Théo Zangato, Aomar Osmani, Pegah Alizadeh

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

A Deep Learning Approach for Predicting Radio Channels Across Frequency in Mobile Networks.

Apostolos Destounis, Pegah Alizadeh

Proceedings of the 2nd International Conference on 6G Networking, 2024

2023

Optimization-driven Demand Prediction Framework for Suburban Dynamic Demand-Responsive Transport Systems.

Louis Zigrand, Roberto Wolfler Calvo, Emiliano Traversi, Pegah Alizadeh

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Place embedding across cities in location-based social networks.

Christophe Haikal, Pegah Alizadeh, Christophe Rodrigues, Chongke Bi

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

How to Learn the Optimal Clique Decompositions in Solving Semidefinite Relaxations for OPF.

Charly Alizadeh, Pegah Alizadeh, Miguel F. Anjos, Lucas Létocart, Emiliano Traversi

Proceedings of the International Joint Conference on Neural Networks, 2022

Improving Imitation Learning by Merging Experts Trajectories.

Pegah Alizadeh, Aomar Osmani, Sammy Taleb

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Clustering Approach to Solve Hierarchical Classification Problem Complexity.

Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Reinforcement Learning for Interactive QoS-Aware Services Composition.

Pegah Alizadeh, Aomar Osmani, Mohamed Essaid Khanouche, Abdelghani Chibani, Yacine Amirat

IEEE Syst. J., 2021

Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition.

Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh

CoRR, 2021

Deterministic policies based on maximum regrets in MDPs with imprecise rewards.

Pegah Alizadeh, Emiliano Traversi, Aomar Osmani

AI Commun., 2021

Machine Learning Guided Optimization for Demand Responsive Transport Systems.

Louis Zigrand, Pegah Alizadeh, Emiliano Traversi, Roberto Wolfler Calvo

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Hierarchical Learning of Dependent Concepts for Human Activity Recognition.

Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Equational Model Guided by Real-time Sensor Data to Monitor Industrial Robots.

Aomar Osmani, Pegah Alizadeh, Christophe Rodrigues

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

A multi-view architecture for the SHL challenge.

Massinissa Hamidi, Aomar Osmani, Pegah Alizadeh

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Industrie 4.0 : Prédiction de consommation réelle par fine-tuning à partir de simulations.

Christophe Rodrigues, Pegah Alizadeh, Dmitry Bondarenko

Proceedings of the Extraction et Gestion des Connaissances, 2020

Apprentissage par renforcement pour la recherche d'experts sur le web.

Pegah Alizadeh, Jorge García Flores, Iván Vladimir Meza Ruíz

Proceedings of the Extraction et Gestion des Connaissances, 2020

2019

Calcul d'une politique déterministe dans un MDP avec récompenses imprécises.

Pegah Alizadeh, Aomar Osmani, Emiliano Traversi

Proceedings of the Extraction et Gestion des connaissances, 2019

2018

Étude Expérimentale d'Extraction d'Information dans des Retranscriptions de Réunions (An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse).

Pegah Alizadeh, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Albrecht Zimmermann

Proceedings of the Actes de la Conférence TALN. CORIA-TALN-RJC 2018 - Volume 1, 2018

An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse.

Pegah Alizadeh, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Albrecht Zimmermann

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

2016

Elicitation and planning in Markov decision processes with unknown rewards. (Elicitation et planification dans les processus décisionnel de MARKOV avec récompenses inconnues).

Pegah Alizadeh

PhD thesis, 2016

Solving MDPs with Unknown Rewards Using Nondominated Vector-Valued Functions.

Pegah Alizadeh, Yann Chevaleyre, François Lévy

Proceedings of the STAIRS 2016, 2016

Advantage based value iteration for Markov decision processes with unknown rewards.

Pegah Alizadeh, Yann Chevaleyre, François Lévy

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Approximate regret based elicitation in Markov decision process.

Pegah Alizadeh, Yann Chevaleyre, Jean-Daniel Zucker

Proceedings of the 2015 IEEE RIVF International Conference on Computing & Communication Technologies, 2015