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Regular version of the site

Laboratory of Artificial Intelligence for Cognitive Sciences

Publications
Book chapter
Community Detection in Feature-Rich Networks Using Gradient Descent Approach

Shalileh S., Mirkin B.

In bk.: Complex Networks & Their Applications XII: Proceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Volume 2. Springer, 2024. Ch. 15. P. 185-196.

Article
An Effective Partitional Crisp Clustering Method Using Gradient Descent Approach

Shalileh S.

Mathematics. 2023. Vol. 11. No. 12.

Book chapter
Classification Using Marginalized Maximum Likelihood Estimation and Black-Box Variational Inference

Shalileh S.

In bk.: Data Analysis and Optimization. In Honor of Boris Mirkin's 80th Birthday. Springer, 2023. P. 349-361.

Laboratory of Artificial Intelligence for Cognitive Sciences (AICS) aims to develop General Artificial Intelligence (AI) methods, by pursuing two research directions (i) studying human cognitive science, using various exclusive and public data sets, and (ii) developing new mathematical methods and algorithms. While projects of (i) are of an applied AI nature, at least at their initial stages, the projects of (ii) are focused on theoretical AI developments. Refer to «About the Laboratory» for more details.

News

Laboratory of Artificial Intelligence for Cognitive Science (AICS) announces the start of regular open seminars
May 08
On December 12, the head of our laboratory, Dr. Shalileh Soroosh, was invited to have a talk in the seminar "SCILA and Charybdis" of the Laboratory of Social and Cognitive Informatics.
December 26, 2023
More news