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Olga Tushkanova
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2020 – today
- 2024
- [j4]Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova, Andrey Chechulin:
Experimental Evaluation: Can Humans Recognise Social Media Bots? Big Data Cogn. Comput. 8(3): 24 (2024) - 2023
- [j3]Olga Tushkanova, Dmitry Levshun, Alexander Branitskiy, Elena Fedorchenko, Evgenia Novikova, Igor V. Kotenko:
Detection of Cyberattacks and Anomalies in Cyber-Physical Systems: Approaches, Data Sources, Evaluation. Algorithms 16(2): 85 (2023) - [j2]Dmitry Levshun, Olga Tushkanova, Andrey Chechulin:
Two-model active learning approach for inappropriate information classification in social networks. Int. J. Inf. Sec. 22(6): 1921-1936 (2023) - 2022
- [c9]Dmitry Levshun, Olga Tushkanova, Andrey Chechulin:
Active learning approach for inappropriate information classification in social networks. PDP 2022: 283-289 - 2021
- [c8]Elena Doynikova, Evgenia Novikova, Ivan Murenin, Maxim Kolomeec, Diana Gaifulina, Olga Tushkanova, Dmitry Levshun, Alexey Meleshko, Igor V. Kotenko:
Security Measuring System for IoT Devices. CyberICPS/SECPRE/ADIoT/SPOSE/CPS4CIP/CDT&SECOMANE@ESORICS 2021: 256-275 - [c7]Maxim Kolomeets, Olga Tushkanova, Dmitry Levshun, Andrey Chechulin:
Camouflaged bot detection using the friend list. PDP 2021: 253-259 - 2020
- [j1]Igor V. Kotenko, Lidiya Vitkova, Igor Saenko, Olga Tushkanova, Alexander Branitskiy:
The intelligent system for detection and counteraction of malicious and inappropriate information on the Internet. AI Commun. 33(1): 13-25 (2020) - [c6]Alexandra Soboleva, Olga Tushkanova:
The Methodology of Extraction and Analysis of Event Log Social Graph. FRUCT 2020: 415-422
2010 – 2019
- 2019
- [c5]Lidiya Vitkova, Igor Saenko, Olga Tushkanova:
An Approach to Creating an Intelligent System for Detecting and Countering Inappropriate Information on the Internet. IDC 2019: 244-254 - 2018
- [c4]Dmitry Kudryavtsev, Tatiana Gavrilova, Irina A. Leshcheva, Alena Begler, Miroslav Kubelskiy, Olga Tushkanova:
Mind Mapping and Spreadsheets in Collaborative Design of Manufacturing Assembly Units' Knowledge Graphs. BIR Workshops 2018: 82-93 - 2015
- [c3]Olga Tushkanova, Vladimir Gorodetsky:
Data-driven semantic concept analysis for automatic actionable ontology design. DSAA 2015: 1-9 - [c2]Vladimir Gorodetsky, Olga Tushkanova:
Data-Driven Semantic Concept Analysis for User Profile Learning in 3G Recommender Systems. WI-IAT (3) 2015: 92-97 - 2014
- [c1]Vladimir Gorodetsky, Vladimir Samoylov, Olga Tushkanova:
Agent-Based Customer Profile Learning in 3G Recommender Systems: Ontology-Driven Multi-source Cross-Domain Case. ADMI 2014: 12-25
Coauthor Index
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