Kamal Benramdane

Doctorant
Personal website:
Office: 35.1.47

PhD topic: Intent- and context-based Entity Orchestration inside Digital Business Ecosystems and platforms Director: Samia Bouzefrane. Co-advisor Elena Kornyshova

2024

Articles de conférence

  1. Benramdane, M. K. and Kornyshova, E. Reinforcement Learning to Personalize User eXperience within Digital Business Ecosystems. In 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024), Osaka, Japan, 2024. www 
  1. Benramdane, M. K.; Kornyshova, E.; Ruelle, S. and Vidal, C. Employee eXperience Representation for Personalization within Digital Business Ecosystems. In 39th ACM/SIGAPP Symposium on Applied Computing, Avila, Spain, 2024. www 

2023

Articles de revue

  1. Benramdane, M. K.; Kornyshova, E.; Bouzefrane, S. and Maupas, H. Supervised Machine Learning for Matchmaking in Digital Business Ecosystems and Platforms. In Information Systems Frontiers, 2023. doi  www 

Chapitres d'ouvrage

  1. Benramdane, M. K.; Bouzefrane, S.; Banerjee, S.; Maupas, H. and Kornyshova, E. Hybrid Machine Learning for Matchmaking in Digital Business Ecosystems. In Encyclopedia of Data Science and Machine Learning, pages 2817-2838, IGI Global, 2023. doi  www 

Articles de conférence

  1. Kornyshova, E.; Boutal, L. and Benramdane, M. K. Digital Business Ecosystems: Organizational Model, Roles, and Governance Towards Flexibility. In International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2023), pages 4621-4630, Athens, Greece, 2023. doi  www 

2022

Articles de conférence

  1. Benramdane, M. K. Intent-based Contextual Orchestration inside Digital Business Ecosystems and Platforms. In Forum Jeunes Chercheuses Jeunes Chercheurs INFORSID, Dijon, France, 2022. www 

2021

Articles de conférence

  1. Benramdane, M. K.; Maupas, H.; Kornyshova, E. and Banerjee, S. Business Recommender System through Matchmaking with Supervised Machine Learning in Distributed Digital Platforms: Energy Complexity Analysis. In 8th International Conference on Future Internet of Things and Cloud (FiCloud), pp. 372-376, Rome, Italy, 2021. doi  www 
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