Nazgol Tavabi
Nazgol Tavabi
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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
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Detecting fatigue based on electroencephalogram (EEG) data
N Tavabi, L Tavabi, M Powers, EJ Kim, OB Oluwafemi
US Patent 10,827,942, 2020
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
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
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
Learning Behavioral Representations from Wearable Sensors
N Tavabi, H Hosseinmardi, JL Villatte, A Abeliuk, S Narayanan, E Ferrara, ...
International Conference on Social Computing, Behavioral-Cultural Modeling …, 2020
Challenges in forecasting malicious events from incomplete data
N Tavabi, A Abeliuk, N Mokhberian, J Abramson, K Lerman
Companion Proceedings of the Web Conference 2020, 603-610, 2020
Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors
K Burghardt, N Tavabi, E Ferrara, S Narayanan, K Lerman
arXiv preprint arXiv:2008.01723, 2020
Modeling Dynamic Behaviors within Population
N Tavabi
Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13736 …, 2020
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