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Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles., , , , , , , , , и 4 other автор(ы). IEEE Trans. Biom. Behav. Identity Sci., 4 (3): 412-423 (2022)Facebook Ad Engagement in the Russian Active Measures Campaign of 2016., , , , и . CoRR, (2020)Predicting Misinformation and Engagement in COVID-19 Twitter Discourse in the First Months of the Outbreak., , , , , , , , и . CoRR, (2020)Lumen: A machine learning framework to expose influence cues in texts., , , , , , и . Frontiers Comput. Sci., (2022)Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles., , , , , , , , , и 4 other автор(ы). CoRR, (2021)Leveraging Team Dynamics to Predict Open-source Software Projects' Susceptibility to Social Engineering Attacks., , , и . CoRR, (2021)Lumen: A Machine Learning Framework to Expose Influence Cues in Text., , , , , , и . CoRR, (2021)People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation., , , , , , , , , и . SocialSec, том 14097 из Lecture Notes in Computer Science, стр. 3-22. Springer, (2023)Predicting Different Types of Subtle Toxicity in Unhealthy Online Conversations., , , и . EUSPN/ICTH, том 198 из Procedia Computer Science, стр. 360-366. Elsevier, (2021)Discriminating Postural Control Behaviors from Posturography with Statistical Tests and Machine Learning Models: Does Time Series Length Matter?, , и . ICCS (3), том 10862 из Lecture Notes in Computer Science, стр. 350-357. Springer, (2018)