Nazgol Tavabi
Nazgol Tavabi
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TitleCited byYear
Darkembed: Exploit prediction with neural language models
N Tavabi, P Goyal, M Almukaynizi, P Shakarian, K Lerman
Proceedings of AAAI Conference on Innovative Applications of AI (IAAI2018), 2018
Structured features in naive Bayes classification
A Choi, N Tavabi, A Darwiche
Thirtieth AAAI Conference on Artificial Intelligence, 2016
Discovering signals from web sources to predict cyber attacks
P Goyal, KSM Hossain, A Deb, N Tavabi, N Bartley, A Abeliuk, E Ferrara, ...
arXiv preprint arXiv:1806.03342, 2018
Detecting fatigue based on electroencephalogram (eeg) data
N Tavabi, L Tavabi, M Powers, EJ Kim, OB Oluwafemi
US Patent App. 15/860,866, 2019
Characterizing Activity on the Deep and Dark Web
N Tavabi, N Bartley, A Abeliuk, S Soni, E Ferrara, K Lerman
Companion Proceedings of The 2019 World Wide Web Conference, 206-213, 2019
Learning Behavioral Representations from Wearable Sensors
N Tavabi, H Hosseinmardi, JL Villatte, A Abeliuk, S Narayanan, E Ferrara, ...
arXiv preprint arXiv:1911.06959, 2019
Artificial Intelligence to Predict Intimate Partner Violence Perpetration
R Petering, MY Um, NA Fard, N Tavabi, R Kumari, SN Gilani
Artificial Intelligence and Social Work, 195, 2018
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