Dmitry I. Ignatov, Dmitry V. Gnatyshak, Sergei O. Kuznetsov, Boris G. Mirkin, “Triadic Formal Concept Analysis and triclustering: searching for optimal patterns”, Machine Learning, 101:1-3 (2015), 271–302
Dmitry I. Ignatov, “On closure operators related to maximal tricliques in tripartite hypergraphs”, Discret. Appl. Math., 249 (2018), 74–84
Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans, Leonid E. Zhukov, “Can triconcepts become triclusters?”, Int. J. Gen. Syst., 42:6 (2013), 572–593
Jonas Poelmans, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene, “Formal Concept Analysis in knowledge processing: A survey on models and techniques”, Expert Syst. Appl., 40:16 (2013), 6601-6623
Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko, “Compression of recurrent neural networks for efficient language modeling”, Appl. Soft Comput., 79 (2019), 354-362
D. A. Lyutkin, D. V. Pozdnyakov, A. A. Solov'ev, D. V. Zhukov, M. Sh. I. Malik, D. I. Ignatov, “Transformer-based classification of user queries for medical consultancy”, Avtomat. i Telemekh., 2024, no. 3, 86–100
2023
2.
I. Safilo, D. Tikhonovich, A. V. Petrov, D. I. Ignatov, “MTS Kion implicit contextualised sequential dataset for movie recommendation”, Dokl. RAN. Math. Inf. Proc. Upr., 514:2 (2023), 333–342; Dokl. Math., 108:suppl. 2 (2023), S456–S464
2022
3.
D. A. Egurnov, D. I. Ignatov, “Triclusters of close values for the analysis of 3D data”, Avtomat. i Telemekh., 2022, no. 6, 84–95; Autom. Remote Control, 83:6 (2022), 894–902
J. Basharias, D. I. Ignatov, S. O. Kuznetsov, S. A. Stupnikov, “Introductory remarks to the special issue devoted to DAMDID/RCDL-2023”, Avtomat. i Telemekh., 2024, no. 3, 3–5
2015
5.
Y. S. Kashnitsky, D. I. Ignatov, “Recommender-based classifier ensemble”, Intelligent systems. Theory and applications, 19:4 (2015), 37–55
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