Laboratory of Artificial Intelligence for Cognitive Sciences

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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.

All publications

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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.