Alexander Shevtsov 个人学术档案

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引用	78	78
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Despoina AntonakakiPostdoctoral researcher, Institute of Computer Science, Foundation of Research and Technology Hellas在 ics.forth.gr 的电子邮件经过验证
Sotiris IoannidisTechnical University of Crete and Foundation for Research and Technology - Hellas在 ece.tuc.gr 的电子邮件经过验证
Polyvios PratikakisComputer Science Department, University of Crete, FORTH在 csd.uoc.gr 的电子邮件经过验证
Christos TzagkarakisDelft University of Technology在 ics.forth.gr 的电子邮件经过验证
Maria OikonomidouinbestMe & ICS - FORTH, Greece在 ics.forth.gr 的电子邮件经过验证
Alexandros KanterakisInstitute of Computer Science, FORTH, Greece在 ics.forth.gr 的电子邮件经过验证
Paraskevi FragopoulouDepartment of Electrical and Computer Engineering, Hellenic Mediterranean University在 ics.forth.gr 的电子邮件经过验证
Panagiotis (Panos) PapadopoulosHead of Red Team, iProov & Visiting Researcher, FORTH在 ics.forth.gr 的电子邮件经过验证
Giorgos VasiliadisHellenic Mediterranean University and FORTH在 ics.forth.gr 的电子邮件经过验证
Alexandros KapravelosAssociate Professor, North Carolina State University在 ncsu.edu 的电子邮件经过验证
Eva PapadogiannakiTechnical University of Crete在 tuc.gr 的电子邮件经过验证

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Alexander Shevtsov

Ph.D. Candidate , University of Crete. Research fellow ICS-FORTH

在 csd.uoc.gr 的电子邮件经过验证 - 首页

Machine Learning Explainable AI Bot detection in Online Social Media Natural Language Processing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Identification of twitter bots based on an explainable machine learning framework: the US 2020 elections case study A Shevtsov, C Tzagkarakis, D Antonakaki, S Ioannidis Proceedings of the international AAAI conference on web and social media 16 …, 2022	22	2022
Twitter dataset on the Russo-Ukrainian war A Shevtsov, C Tzagkarakis, D Antonakaki, P Pratikakis, S Ioannidis arXiv preprint arXiv:2204.08530, 2022	18	2022
What Tweets and YouTube comments have in common? Sentiment and graph analysis on data related to US elections 2020 A Shevtsov, M Oikonomidou, D Antonakaki, P Pratikakis, S Ioannidis Plos one 18 (1), e0270542, 2023	17	2023
Discovery and classification of Twitter bots A Shevtsov, M Oikonomidou, D Antonakaki, P Pratikakis, A Kanterakis, ... SN Computer Science 3 (3), 255, 2022	7	2022
Explainable machine learning pipeline for Twitter bot detection during the 2020 US Presidential Elections A Shevtsov, C Tzagkarakis, D Antonakaki, S Ioannidis Software Impacts 13, 100333, 2022	5	2022
Analysis of Twitter and YouTube during USelections 2020 A Shevtsov, M Oikonomidou, D Antonakaki, P Pratikakis, S Ioannidis arXiv preprint arXiv:2010.08183, 2020	3	2020
BotArtist: Twitter bot detection Machine Learning model based on Twitter suspension A Shevtsov, D Antonakaki, I Lamprou, P Pratikakis, S Ioannidis arXiv preprint arXiv:2306.00037, 2023	2	2023
Twitter Dataset on the Russo-Ukrainian War. arXiv 2022 A Shevtsov, C Tzagkarakis, D Antonakaki, P Pratikakis, S Ioannidis arXiv preprint arXiv:2204.08530, 0	2
Russo-Ukrainian War: Prediction and explanation of Twitter suspension A Shevtsov, D Antonakaki, I Lamprou, I Kontogiorgakis, P Pratikakis, ... Proceedings of the International Conference on Advances in Social Networks …, 2023	1	2023
WRIT: Web Request Integrity and Attestation against Malicious Browser Extensions G Vasiliadis, A Karampelas, A Shevtsov, P Papadopoulos, S Ioannidis, ... IEEE Transactions on Dependable and Secure Computing, 2023	1	2023
Fingerprinting the Shadows: Unmasking Malicious Servers with Machine Learning-Powered TLS Analysis A Theofanous, E Papadogiannaki, A Shevtsov, S Ioannidis Proceedings of the ACM on Web Conference 2024, 1933-1944, 2024		2024
The blue pill of matriX: analysis and prediction of Twitter bots via explainable AI A Shevtsov Πανεπιστήμιο Κρήτης. Σχολή Θετικών και Τεχνολογικών Επιστημών. Τμήμα …, 2024		2024
Discovery and classification of Twi er bots M OIKONOMIDOU, A SHEVTSOV, D ANTONAKAKI, P PRATIKAKIS

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