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Makram Bouzid
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2020 – today
- 2023
- [c14]Yue Jin, Makram Bouzid, Armen Aghasaryan, Ricardo Rocha:
Community Selection for Multivariate KPI Predictions in a 2-Tier System. NOMS 2023: 1-5
2010 – 2019
- 2019
- [j4]Yue Jin, Makram Bouzid, Dimitre Kostadinov, Armen Aghasaryan:
Resource management of cloud-enabled systems using model-free reinforcement learning. Ann. des Télécommunications 74(9-10): 625-636 (2019) - [c13]Makram Bouzid, Duc-Hung Luong, Dimitre Kostadinov, Yue Jin, Lorenzo Maggi, Abdelkader Outtagarts, Armen Aghasaryan:
Cooperative AI-based e2e Network Slice Scaling. INFOCOM Workshops 2019: 959-960 - 2018
- [c12]Yue Jin, Makram Bouzid, Dimitre Kostadinov, Armen Aghasaryan:
Model-free resource management of cloud-based applications using reinforcement learning. ICIN 2018: 1-6 - [c11]Yue Jin, Makram Bouzid, Dimitre Kostadinov, Armen Aghasaryan:
Testing a Q-learning approach for derivation of scaling policies in cloud-based applications. ICIN 2018: 1-3 - [c10]Yue Jin, Dimitre Kostadinov, Makram Bouzid, Armen Aghasaryan:
Common Structures in Resource Management as Driver for Reinforcement Learning: A Survey and Research Tracks. MLN 2018: 117-132 - [r1]Armen Aghasaryan, Makram Bouzid, Dimitre Davidov Kostadinov, Jérôme Picault:
Group Representation and Profiling. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [c9]Armen Aghasaryan, Makram Bouzid, Dimitre Kostadinov:
Stimulus-based sandbox for learning resource dependencies in virtualized distributed applications. ICIN 2017: 238-245 - 2014
- [j3]Armen Aghasaryan, Makram Bouzid, Dimitre Kostadinov, Animesh Nandi:
Exploring the Impact of LSH Parameters in Privacy-Preserving Personalization. Bell Labs Tech. J. 18(4): 33-44 (2014) - 2013
- [c8]Armen Aghasaryan, Makram Bouzid, Dimitre Kostadinov, Mohit Kothari, Animesh Nandi:
On the Use of LSH for Privacy Preserving Personalization. TrustCom/ISPA/IUCC 2013: 362-371 - 2011
- [c7]Christophe Senot, Dimitre Kostadinov, Makram Bouzid, Jérôme Picault, Armen Aghasaryan:
Evaluation of Group Profiling Strategies. IJCAI 2011: 2728-2733 - 2010
- [c6]Christophe Senot, Dimitre Kostadinov, Makram Bouzid, Jérôme Picault, Armen Aghasaryan, Cédric Bernier:
Analysis of Strategies for Building Group Profiles. UMAP 2010: 40-51
2000 – 2009
- 2007
- [c5]David Bonnefoy, Makram Bouzid, Nicolas Lhuillier, Kevin Mercer:
"More Like This" or "Not for Me": Delivering Personalised Recommendations in Multi-user Environments. User Modeling 2007: 87-96 - 2005
- [c4]Remco Poortinga, Alfons H. Salden, Olaf Drögehorn, Jérôme Picault, Makram Bouzid, Michael Sutterer, Ralf Kernchen, Christian Räck, Mateusz Radziszewski, Petteri Nurmi:
Contextual Personalization of a Mobile Multimodal Application. International Conference on Internet Computing 2005: 294-300 - 2004
- [c3]Makram Bouzid, Jérôme Picault, David Bonnefoy:
A Dynamic Aggregation Mechanism for Agent-Based Services. ICEIS (4) 2004: 10-15 - 2003
- [j2]Michael Berger, Makram Bouzid, Mark Buckland, Habin Lee, Nicolas Lhuillier, Dieter Olpp, Jérôme Picault, John W. Shepherdson:
An Approach to Agent-Based Service Composition and Its Application to Mobile Business Processes. IEEE Trans. Mob. Comput. 2(3): 197-206 (2003) - [c2]Makram Bouzid, Jérôme Picault:
Agent-Based Generic Services and Their Application for the Mobile Workforce. ICEIS (4) 2003: 161-166 - 2001
- [b1]Makram Bouzid:
Contribution à la modélisation de l'interaction agent / environnement : modélisation stochastique et simulation parallèle. Henri Poincaré University, Nancy, France, 2001 - [j1]Makram Bouzid, Vincent Chevrier, Stéphane Vialle, François Charpillet:
Parallel simulation of a stochastic agent/environment interaction model. Integr. Comput. Aided Eng. 8(3): 189-203 (2001)
1990 – 1999
- 1999
- [c1]Makram Bouzid, Vincent Chevrier, Stéphane Vialle, François Charpillet:
Un environnement de simulation orienté agents : apport des modèles stochastiques et du parallélisme (poster). JFIADSMA 1999: 329-330
Coauthor Index
aka: Dimitre Davidov Kostadinov
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