Z Kobti

Affiliations: 
COMPUTER SCIENCE University of Windsor, Windsor, Canada 
Area:
Computer Science, Artificial Intelligence
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"Z Kobti"
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Publications

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Selvarajah K, Kobti Z, Kargar M. (2020) Cultural Algorithms for Cluster Hires in Social Networks Procedia Computer Science. 170: 514-521
Selvarajah K, Zadeh PM, Kargar M, et al. (2019) Identifying a Team of Experts in Social Networks using a Cultural Algorithm Procedia Computer Science. 151: 477-484
Moradianzadeh N, Zadeh PM, Kobti Z, et al. (2018) Using social network analysis to model palliative care Journal of Network and Computer Applications. 120: 30-41
Soleimani A, Kobti Z. (2016) Fuzzy computational model for emotions originated in workplace events Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9673: 73-79
Zadeh PM, Kobti Z. (2015) A multi-population cultural algorithm for community detection in social networks Procedia Computer Science. 52: 342-349
Mokom F, Kobti Z. (2015) Exploiting objects as artifacts in multi-agent based social simulations Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 3: 1869-1870
Soleimani A, Kobti Z. (2014) Toward modeling emotion elicitation processes using fuzzy appraisal approach Transactions On Engineering Technologies: Special Issue of the World Congress On Engineering and Computer Science 2013. 213-228
Soleimani A, Kobti Z. (2014) Toward a computational model for collective emotion regulation based on emotion contagion phenomenon Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8436: 351-356
Soleimani A, Kobti Z. (2014) Toward a fuzzy approach for emotion generation dynamics based on OCC emotion model Iaeng International Journal of Computer Science. 41: 48-61
Dogra IS, Kobti Z. (2014) An approach for constructing reliable social agent based systems considering dynamic environment and other factors affecting their progress Proceedings of the 27th International Florida Artificial Intelligence Research Society Conference, Flairs 2014. 33-36
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