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DOI: 10.18293/SEKE2018-133 Corpus ID: 53241619; Belief Function Theory in Constraint Satisfaction Problems: a Unifying Approach @inproceedings{Rouahi2018BeliefFT, title={Belief Function Theory in Constraint Satisfaction Problems: a Unifying Approach}, author={Aouatef Rouahi and Kais Ben Salah and Khaled Gh{\'e}dira}, booktitle={International Conference on Software Engineering and Knowledge.
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Kais Ben Salah Khaled Ghedira Rania Abdelhedi Najla Kharrat Year: 2021 A Proposal of Clinical Decision Support System Using Ensemble Learning for Coronary Artery Disease Diagnosis MOBIHEALTH Springer DOI: 10.1007/978-3-030-70569-5_19.
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Aouatef Rouahi, Kais Ben Salah, K. Ghédira; Published 2013; Computer Science; TLDR. A new CSP extension is introduced, labeled Belief Constraint Satisfaction Problem (BCSP), fulfilling two tasks that are managing imperfection and modeling flexibility, and merging the belief function theory and the CSP formalism.
Dr. Amine BEN SALAH Lead Facilitator la Confédération suisse LinkedIn
Aouatef Rouahi, Kais Ben Salah, K. Ghédira; Published in BELIEF 17 September 2018; Computer Science; TLDR. This paper introduces a model whereby agents seek for decisions that satisfy their preferences based on their beliefs subject to certain constraints by extending the soft constraints framework to the belief function theory.
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Né à Djerba Tunisie.Titulaire d'un master professionnel en ingénierie financière de l'ISG de Gabès (2011) et maîtrise en gestion des institutions financières de l'ESC de Tunis (2008).
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Kais BEN SALAH Project Manager chez Multi-Construction BVBA Belgium. Multi-Construction BVBA, +5 more National University of Architecture and Urban Planning , +1 more KAIS ATIG BEN SALAH.
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Publication Topics constraint handling,constraint satisfaction problems,decision support systems,multi-agent systems,optimisation,Internet,
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Belgium 2K followers 500+ connections Join to follow Multi-Construction BVBA About Over eighteen years of experience in architectural design Exceptional skills in designing, scheduling, supervising.
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Rawia Sammout, Kais Ben Salah, Khaled Ghédira, Rania Abdelhedi, Najla Kharrat: A Proposal of Clinical Decision Support System Using Ensemble Learning for Coronary Artery Disease Diagnosis. MobiHealth 2020: 300-314
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Abstract. Beliefs, preferences and constraints occur together in many real world problems. However, reasoning with such intertwinement is rather unexplored in the AI literature. In this paper, we introduce a model whereby agents seek for decisions that satisfy their preferences based on their beliefs subject to certain constraints by extending.
