Olga Gerasimova

Junior Research Fellow:Faculty of Computer Science / International Laboratory for Intelligent Systems and Structural Analysis
Senior Lecturer, Junior Research Fellow, Doctoral Student:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence

Olga Gerasimova has been at HSE University since 2014.

Education

2016

Bachelor's
HSE University

Professional Interests

Many-valued logics Ontology-based data access boolean functions query answering Description logics

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2017-2018)

Postgraduate Studies

3rd year of study
Approved topic of thesis: Ontology-based data access with covering axioms
Academic Supervisor: Zakharyaschev, Mikhail

Student Term / Thesis Papers

Master
V. Syomochkina, Linking Frineds in Social Networks using HashTag Attributes. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2020

Full list of of student term / thesis papers

Courses (2020/2021)

Project Seminar ''Intelligent Systems and Structural Analysis'' (Master’s programme; Faculty of Computer Science; 1 year, 1-4 module)Eng
Semantic Technologies (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Eng
Past Courses

Courses (2019/2020)

Introduction to Network Analysis (Bachelor’s programme; Faculty of Social Sciences; 4 year, 2 module)Rus
Project Seminar ''Intelligent Systems and Structural Analysis'' (Master’s programme; Faculty of Computer Science; 1 year, 1-4 module)Eng
Semantic Technologies (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Eng

Courses (2018/2019)

Project Seminar (Master’s programme; Faculty of Computer Science; 1 year, 1-4 module)Eng
Social Network Analysis (Mago-Lego; 4 module)Eng

Courses (2017/2018)

Social Network Analysis (Mago-Lego; 4 module)Eng

Publications²³

Chapter Gerasimova O., Kikot S., Kurucz A., Podolskii V. V., Zakharyaschev M. A Data Complexity and Rewritability Tetrachotomy of Ontology-Mediated Queries with a Covering Axiom, in: Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning. IJCAI Organization: The International Joint Conference on Artificial Intelligence (IJCAI), 2020. P. 403-413. doi
Article Makarov I., Kiselev D., Gerasimova O., Sulimov P., Zhukov L. E. Recommending Collaborators via Co-authorship Network Embedding // Network Science. 2020. P. 1-13. (in press)
Chapter Gerasimova O., Kikot S., Zakharyaschev M. Checking the Data Complexity of Ontology-Mediated Queries: A Case Study with Non-uniform CSPs and Polyanna, in: Description Logic, Theory Combination, and All That. Berlin : Springer, 2019. doi P. 329-351. doi
Article Makarov I., Gerasimova O., Sulimov P., Zhukov L. E. Dual network embedding for representing research interests in the link prediction problem on co-authorship networks // PeerJ Computer Science. 2019. P. 1-20. doi
Chapter Gerasimova O., Makarov I. Higher School of Economics Co-Authorship Network Study, in: Proceedings of 2nd International Conference on Computer Applications & Information Security (ICCAIS). NY : IEEE, 2019. P. 1-4. doi
Chapter Gerasimova O., Makarov I. Link Prediction Regression for Weighted Co-authorship Networks, in: Advances in Computational Intelligence. IWANN 2019. Berlin : Springer, 2019. doi P. 667-677. doi
Chapter Makarov I., Dmitrii Maslov, Gerasimova O., Vladimir Aliev, Alisa Korinevskaya, Sharma U., Wang H. On Reproducing Semi-dense Depth Map Reconstruction using Deep Convolutional Neural Networks with Perceptual Loss, in: Proceedings of 27th ACM International Conference on Multimedia. NY : ACM, 2019. P. 1080-1084. doi
Chapter Makarov I., Gerasimova O. Predicting Collaborations in Co-authorship Network, in: Proceedings of the 14th International Workshop on Semantic and Social Media Adaptation and Personalization. NY : IEEE, 2019. P. 1-6. doi
Chapter Makarov I., Gerasimova O., Sulimov P., Zhukov L. E. Application of Graph Embedding to Constructing Graph-based Recommender System, in: Proceedings of WebSci’18 Main Conference Poster Session. Aachen : CEUR Workshop Proceedings, 2018. Ch. 1. P. 1-2. (in press)
Chapter Makarov I., Gerasimova O., Sulimov P., Zhukov L. E. Co-authorship Network Embedding and Recommending Collaborators via Network Embedding, 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. 32-38. doi
Chapter Makarov I., Gerasimova O., Sulimov P., Ksenia Korovina, Zhukov L. E. Joint Node-Edge Network Embedding for Link Prediction, 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. 20-31. doi
Chapter Makarov I., Gerasimova O., Sulimov P., Zhukov L. E. Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics, in: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries. NY : Association for Computing Machinery (ACM), 2018. P. 365-366. doi
Chapter Makarov I., Bulanov O., Olga Gerasimova, Natalia Meshcheryakova, Karpov I., Zhukov L. E. Scientific Matchmaker: Collaborator Recommender System, in: Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, 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. 404-410. doi
Chapter Gerasimova O., Kikot S., Zakharyaschev M. Towards a Data Complexity Classification of Ontology-Mediated Queries with Covering, in: Proceedings of the 31th International Workshop on Description Logics, Tempe, Arizona, October 27-29, 2018.. Aachen : CEUR Workshop Proceedings, 2018. P. 1-13.
Chapter Makarov I., Konoplya O., Pavel Polyakov, Maxim Martynov, Zyuzin P., Gerasimova O., Bodishtianu Valeria. Adapting First-Person Shooter Video Game for Playing with Virtual Reality Headsets, in: Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017, Marco Island, Florida, USA, May 22-24, 2017. AAAI Press 2017, ISBN 978-1-57735-787-2. Palo Alto : AAAI Press, 2017. P. 412-415.
Chapter Makarov I., Vladimir Aliev, Gerasimova Olga, Pavel Polyakov. Depth Map Interpolation using Perceptual Loss, in: Adjunct Proceedings of 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct). NY : IEEE, 2017. P. 93-94. doi
Chapter Gerasimova O., Kikot S., Podolskii V. V., Zakharyaschev M. More on the Data Complexity of Answering Ontology-Mediated Queries with a Covering Axiom, in: Proceedings of the 8th international Conference on Knowledge Engineering and Semantic Web. Berlin : Springer, 2017. doi P. 143-158. doi
Chapter Gerasimova O., Podolskii V. V., Kikot S., Zakharyaschev M. On the Data Complexity of Ontology-Mediated Queries with a Covering Axiom, in: Proceedings of the 30th International Workshop on Description Logics, Montpellier, France, July 18-21, 2017.. Aachen : CEUR Workshop Proceedings, 2017. Ch. 19. P. 1-12.
Chapter Makarov I., Vladimir Aliev, Olga Gerasimova. Semi-Dense Depth Interpolation using Deep Convolutional Neural Networks, in: Proceedings of the 25th ACM international conference on Multimedia (ACM MM'17), Mountain View, CA USA, 23-27 October 2017.. NY : Association for Computing Machinery (ACM), 2017. P. 1407-1415. doi
Chapter Makarov I., Mikhail Tokmakov, Pavel Polyakov, Peter Zyuzin, Maxim Martynov, Oleg Konoplya, George Kusnetsov, Ivan Guschenko-Cheverda, Maxim Uriev, Ivan Mokeev, Olga Gerasimova, Lada Tokmakova, Alexey Kosmachev. First-Person Shooter Game for Virtual Reality Headset with Advanced Multi-Agent Intelligent System, in: Proceedings of the 24th ACM international conference on Multimedia (ACM MM'16), Amsterdam, Netherlands, 15-19 October 2016.. NY : Association for Computing Machinery (ACM), 2016. P. 735-736. doi
Chapter Makarov I., Peter Zyuzin, Pavel Polyakov, Mikhail Tokmakov, Olga Gerasimova, Ivan Guschenko-Cheverda, Maxim Uriev. Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game, in: Proceedings of the Third Workshop on Experimental Economics and Machine Learning (EEML 2016), Moscow, Russia, July 18, 2016 / Ed. by R. Tagiew, D. I. Ignatov, A. Hilbert, R. Delhibabu. Vol. 1627. Aachen : CEUR Workshop Proceedings, 2016. Ch. 3. P. 24-33.
Chapter Olga Gerasimova, Makarov I. Separator Method for Constructing Canonical Types of Formulas, in: Handbook of the 5th World Congress and School on Universal Logic. Istanbul : University of Istanbul, 2015. P. 372-373.
Chapter Olga Gerasimova, Makarov I. Total Equivalence Systems for Classes of 3-valued Projection Logic whose Projections Equal to the Class of Linear Boolean Functions, in: Proceedings of the 10th Panhelleic Logic Symposium. Samos Island : University of Aegean, 2015. Ch. 23. P. 82-86.