Dmitry I. Ignatov

Dr. Dmitry Ignatov works as an Assistant Professor for National Research University Higher School of Economics (Moscow, Russia) at the chair of Artificial Intelligence and Data Analysis. Dr. Dmitry Ignatov graduated in 2004 as a “Specialist in Physics and Mathematics” with distinction at the “Kolomna Teachers' Training Institute” (Russia, Kolomna) and in 2008 as a "Master of Applied Mathematics and Information Sciences" at the "State University Higher School of Economics" (Russia, Moscow). In 2010 he obtained his degree of “Candidate of sciences in Mathematical Modeling, Numerical Methods, and Software Systems” at the “National Research University Higher School of Economics”. He did his PhD (Candidate of science in Russian) research in All-Russian Institute for Scientific and Technical Information specializing in Theoretical Computer Science. He also was a guest researcher as a PhD student of the Postgraduate Program "Specification of Discrete Processes and Systems of Processes by Operational Models and Logics", Department of Computer Science, Dresden University of Technology. He is an author of more than 35 papers published in peer reviewed conferences, workshops and journals. His main interests include Formal Concept Analysis, Data Mining and Machine Learning, especially multimodal clustering and recommender systmes. He was a co-organizer of several international conferences and workshops: ICCS 2009, RSFDGrC 2011, PReMI 2011, CDUD 2011 and 2012, SCAKD 2011, EEML 2012, ICFCA 2012.

Publications

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems
Xenia Naidenova, Dmitry I. Ignatov. © 2013. 367 pages.
The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters...
Bimodal Cross-Validation Approach for Recommender Systems Diagnostics
Dmitry I. Ignatov, Jonas Poelmans. © 2013. 11 pages.
Recommender systems are becoming an inseparable part of many modern Internet web sites and web shops. The quality of recommendations made may significantly influence the browsing...