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DMITRY GNATYSHAK
DMITRY GNATYSHAK
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Title
Cited by
Cited by
Year
Triadic formal concept analysis and triclustering: searching for optimal patterns
DI Ignatov, DV Gnatyshak, SO Kuznetsov, BG Mirkin
Machine Learning 101, 271-302, 2015
1012015
Gaining insight in social networks with biclustering and triclustering
D Gnatyshak, DI Ignatov, A Semenov, J Poelmans
Perspectives in Business Informatics Research: 11th International Conference …, 2012
462012
From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms.
D Gnatyshak, DI Ignatov, SO Kuznetsov
CLA 1062, 249-260, 2013
272013
A one-pass triclustering approach: is there any room for big data?
D Gnatyshak, DI Ignatov, SO Kuznetsov, L Nourine
CLA, 231-242, 2014
122014
Multimodal clustering for community detection
DI Ignatov, A Semenov, D Komissarova, DV Gnatyshak
Formal Concept Analysis of Social Networks, 59-96, 2017
102017
Analysing online social network data with biclustering and triclustering
D Gnatyshak, DI Ignatov, A Semenov, J Poelmans
Proceedings of the «Concept Discovery in Unstructured Data» conference 871 …, 2012
102012
A Lattice-based Consensus Clustering Algorithm.
A Bocharov, D Gnatyshak, DI Ignatov, BG Mirkin, A Shestakov
CLA, 45-56, 2016
92016
Applying and verifying an explainability method based on policy graphs in the context of reinforcement learning
A Climent, D Gnatyshak, S Alvarez-Napagao
Artificial Intelligence Research and Development, 455-464, 2021
82021
Greedy modifications of oac-triclustering algorithm
DV Gnatyshak
Procedia Computer Science 31, 1116-1123, 2014
72014
Putting OAC-triclustering on MapReduce.
S Zudin, DV Gnatyshak, DI Ignatov
CLA, 47-58, 2015
52015
A single-pass triclustering algorithm
DV Gnatyshak
Automatic Documentation and Mathematical Linguistics 49, 27-41, 2015
52015
Àíàëèç äàííûõ (data mining) îíëàéí ñîöèàëüíûõ ñåòåé ñ ïîìîùüþ áèêëàñòåðèçàöèè è òðèêëàñòåðèçàöèè
ÄÂ Ãíàòûøàê, ÄÈ Èãíàòîâ, ÑÎ Êóçíåöîâ, É Ïóëüìàíñ, ÀÂ Ñåìåíîâ
Òðèíàäöàòàÿ íàöèîíàëüíàÿ êîíôåðåíöèÿ ïî èñêóññòâåííîìó èíòåëëåêòó ñ …, 2012
32012
Testing Reinforcement Learning Explainability Methods in a Multi-Agent Cooperative Environment
Marc Domènech i Vila, Dmitry Gnatyshak, Adrián Tormos, Sergio Alvarez-Napagao
Artificial Intelligence Research and Development 356, 355-364, 2022
2*2022
Explainable agents adapt to human behaviour
A Tormos Llorente, V Giménez Ábalos, M Domènech Vila, D Gnatyshak, ...
Proceedings of the First International Workshop on Citizen-Centric Multi …, 2023
12023
Towards a Goal-Oriented Agent-Based Simulation Framework for High-Performance Computing
Dmitry Gnatyshak, Luis Oliva-Felipe, Sergio Álvarez-Napagao, Julian Padget ...
Artificial Intelligence Research and Development 319, 329 - 338, 2019
1*2019
Explaining the Behaviour of Reinforcement Learning Agents in a Multi-Agent Cooperative Environment Using Policy Graphs
M Domenech i Vila, D Gnatyshak, A Tormos, V Gimenez-Abalos, ...
Electronics 13 (3), 573, 2024
2024
Explaining the Behaviour of Reinforcement Learning Agents in a Multi-Agent Cooperative Environment Using Policy Graphs
D Gnatyshak, A Tormos, V Gimenez-Abalos, S Alvarez-Napagao
2024
Adding Preferences and Moral Values in an Agent-Based Simulation Framework for High-Performance Computing
DM Gutierrez, J Vázquez-Salceda¹, S Alvarez-Napagao, D Gnatyshak
Coordination, Organizations, Institutions, Norms, and Ethics for Governance …, 2023
2023
Policy graphs in action: explaining single-and multi-agent behaviour using predicates
A Tormos, V Abalos, D Gnatyshak, S Alvarez-Napagao
XAI in Action: Past, Present, and Future Applications, 2023
2023
Healthy Twitter discussions? Time will tell
D Gnatyshak, D Garcia-Gasulla, S Alvarez-Napagao, J Arjona, T Venturini
arXiv preprint arXiv:2203.11261, 2022
2022
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