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Regular version of the site

Explanation-oriented Methods of Data Analysis and Knowledge Representation

Priority areas of development: mathematics
2018
The project has been carried out as part of the HSE Program of Fundamental Studies.

Publications:


Maksimenkova O. V., Neznanov A., Radchenko I. Collaborative Learning in Data Science Education: A Data Expedition as a Formative Assessment Tool, in: The Challenges of the Digital Transformation in Education. Switzerland : Springer, 2019. P. 14-25. doi
Dudyrev F., Neznanov A., Maksimenkova O. V. Providing Cognitive Scaffolding Within Computer-Supported Adaptive Learning Environment for Material Science Education, in: The Challenges of the Digital Transformation in Education. Switzerland : Springer, 2019. P. 844-853. doi
Galitsky B., Ilvovsky D., Kuznetsov S. Detecting logical argumentation in text via communicative discourse tree // Journal of Experimental and Theoretical Artificial Intelligence. 2018. Vol. 30. No. 5. P. 637-663. doi
Kanovich M., Kuznetsov S., Nigam V., Scedrov A. A Logical Framework with Commutative and Non-commutative Subexponentials, in: 9TH INTERNATIONAL JOINT CONFERENCE ON AUTOMATED REASONING Issue 10900. Springer International Publishing AG, part of Springer Nature 2018, 2018. doi P. 228-245. doi
Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI/ECAI 2018) / Ed. by S. Kuznetsov, A. Napoli, S. Rudolph. Vol. 2149: CEUR Workshop Proceedings. CEUR-WS, 2018.
Maksimenkova O. V., Neznanov A., Papushina I. O., Parinov A. On mind maps evaluation: a case of an automatic grader development, in: Advances in Intelligent Systems and Computing. ICL 2017: Teaching and Learning in a Digital World. , 2018. doi P. 210-221. doi
Ignatov D. I., Sinkov K., Spesivtsev P., Врабие И. В., Zyuzin V. Tree-Based Ensembles for Predicting the Bottomhole Pressure of Oil and Gas Well Flows, in: Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science / Ed. by W. M. van der Aalst, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay, O. Koltsova, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Vol. 11179. Berlin : Springer, 2018. doi P. 221-233. doi
Ignatov D. I. On closure operators related to maximal tricliques in tripartite hypergraphs // Discrete Applied Mathematics. 2018. Vol. 249. P. 74-84. doi
Makarov I., Dmitry Savostyanov, Boris Litvyakov, Ignatov D. I. Predicting Winning Team and Probabilistic Ratings in Dota 2 and Counter-Strike: Global Offensive Video Games, in: Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Lecture Notes in Computer Science, Revised Selected Papers / Ed. by W. M. van der Aalst, D. I. Ignatov, M. Khachay, S. Kuznetsov, V. Lempitsky, I. A. Lomazova, A. Napoli, A. Panchenko, P. M. Pardalos, A. V. Savchenko, S. Wasserman. Vol. 10716. Cham : Springer, 2018. doi P. 183-196. doi
Andreeva E., Ignatov D. I., Grachev A., Savchenko A. Extraction of Visual Features for Recommendation of Products via Deep Learning, in: Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science / Ed. by W. M. van der Aalst, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay, O. Koltsova, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Vol. 11179. Berlin : Springer, 2018. doi P. 201-210. doi
Kuznetsov S., Makhalova T. On interestingness measures of formal concepts // Information Sciences. 2018. No. 442–443. P. 202-219. doi
Rubtsov V., Kamenshchikov M., Valyaev I., Leksin V., Ignatov D. I. A hybrid two-stage recommender system for automatic playlist continuation, in: 12th ACM Recommender Systems Challenge Workshop, RecSys Challenge 2018; Vancouver; Canada. Vancouver : ACM, 2018. Ch. 16. P. 1-4. doi
Dudyrev F., Neznanov A., Maksimenkova O. V. Providing Cognitive Scaffolding within Computer-Supported Adaptive Learning Environment for Material Science Education // Advances in Intelligent Systems and Computing. 2018. P. 1311-1315.
Ella Y Tyuryumina. Consolidated mathematical growth Model of Breast Cancer CoMBreC, in: Proceedings of the first Workshop on Data Analysis in Medicine (WDAM-2017) / Ed. by J. Baixeries, S. Boytcheva, O. Pianykh, A. Neznanov, S. Kuznetsov. Issue 6. EasyChair, 2018. doi Ch. 3. P. 19-42. doi
Korepanova N. Subgroup Discovery for Treatment Optimization, in: Proceedings of the first Workshop on Data Analysis in Medicine (WDAM-2017) / Ed. by J. Baixeries, S. Boytcheva, O. Pianykh, A. Neznanov, S. Kuznetsov. Issue 6. EasyChair, 2018. doi P. 48-53. doi
Galitsky B., Ilvovsky D. On a Chat Bot Finding Answers with Optimal Rhetoric Representation, in: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017. Varna : INCOMA Ltd, 2017. P. 253-259. doi
Kuznetsov S., Makhalova T., Napoli A. MDL for FCA: is there a place for background knowledge?, in: Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI/ECAI 2018) / Ed. by S. Kuznetsov, A. Napoli, S. Rudolph. Vol. 2149: CEUR Workshop Proceedings. CEUR-WS, 2018.
Кузнецов С. О., Махалова Т. П., Napoli A. Как улучшить оценку множеств признаков с помощью принципа минимальной длины описания? // В кн.: Шестнадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2018 (24-27 сентября 2018 г., г. Москва, Россия). Труды конференции. В 2-х томах. Т. 1. М. : РКП, 2018. С. 19-26.
Makhalova T., Napoli A., Kuznetsov S. A First Study on What MDL Can Do for FCA, in: CLA 2018: The 14th International Conference on Concept Lattices and Their Applications / Ed. by D. I. Ignatov, L. Nourine. CEUR Workshop Proceedings, 2018.
Supplementary Proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2018), Moscow, Russia, July 5-7, 2018 / Ed. by W. van der Aalst,, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay,, O. Koltsova,, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Aachen : CEUR Workshop Proceedings, 2018.
Proceedings 16th Russian Conference on Artificial Intelligence (RCAI 2018) / Ed. by S. Kuznetsov, G. Osipov, V. L. Stefanuk. Issue 934. Cham : Springer, 2018. doi
Alturki M. A., Kirigin T. B., Nigam V., Talcott C., Kanovich M., Scedrov A. Statistical Model Checking of Distance Fraud Attacks on the Hancke-Kuhn Family of Protocols, in: Proceedings of the 2018 Workshop on Cyber-Physical Systems Security and PrivaCy. ACM, 2018. P. 60-71. doi