Gaining Insight in Social Networks with Biclustering and Triclustering. - Dmitry Gnatyshak; Dmitry I. Ignatov; Alexander Semenov; Jonas Poelmans (BIR, 2012)

From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms. - Dmitry Gnatyshak; Dmitry I. Ignatov; Sergei O. Kuznetsov (CLA, 2013)

A One-pass Triclustering Approach: Is There any Room for Big Data? - Dmitry Gnatyshak; Dmitry I. Ignatov; Sergei O. Kuznetsov; Lhouari Nourine (CLA, 2014)

Greedy Modifications of OAC-triclustering Algorithm. - Dmitry Gnatyshak (ITQM, 2014)

Putting OAC-triclustering on MapReduce. - Sergey Zudin; Dmitry V. Gnatyshak; Dmitry I. Ignatov (CLA, 2015)

Triadic Formal Concept Analysis and triclustering: searching for optimal patterns. - Dmitry I. Ignatov; Dmitry V. Gnatyshak; Sergei O. Kuznetsov; Boris G. Mirkin (Mach. Learn., 2015)

A Lattice-based Consensus Clustering Algorithm. - Artem Bocharov; Dmitry Gnatyshak; Dmitry I. Ignatov; Boris G. Mirkin; Andrey Shestakov (CLA, 2016)

Multimodal Clustering for Community Detection. - Dmitry I. Ignatov; Alexander Semenov; Daria Komissarova; Dmitry V. Gnatyshak (CoRR, 2017)

Multimodal Clustering for Community Detection. - Dmitry I. Ignatov; Alexander Semenov; Daria Komissarova; Dmitry V. Gnatyshak (Formal Concept Analysis of Social Networks, 2017)

Towards a Goal-Oriented Agent-Based Simulation Framework for High-Performance Computing. - Dmitry Gnatyshak; Luis Oliva Felipe; Sergio Álvarez-Napagao; Julian A. Padget; Javier Vázquez-Salceda; Dario Garcia-Gasulla; Ulises Cortés (CCIA, 2019)

Applying and Verifying an Explainability Method Based on Policy Graphs in the Context of Reinforcement Learning. - Antoni Climent; Dmitry Gnatyshak; Sergio Álvarez-Napagao (CCIA, 2021)

Testing Reinforcement Learning Explainability Methods in a Multi-Agent Cooperative Environment. - Marc Domènech i Vila; Dmitry Gnatyshak; Adrián Tormos; Sergio Álvarez-Napagao (CCIA, 2022)

Healthy Twitter discussions? Time will tell. - Dmitry Gnatyshak; Dario Garcia-Gasulla; Sergio Álvarez-Napagao; Jamie Arjona; Tommaso Venturini (CoRR, 2022)

Adding Preferences and Moral Values in an Agent-Based Simulation Framework for High-Performance Computing. - David Marin Gutierrez; Javier Vázquez-Salceda; Sergio Álvarez-Napagao; Dmitry Gnatyshak (COINE, 2023)