Nazgol Tavabi
Nazgol Tavabi
Harvard Medical School
Verified email at - Homepage
Cited by
Cited by
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
Detecting fatigue based on electroencephalogram (EEG) data
N Tavabi, L Tavabi, M Powers, EJ Kim, OB Oluwafemi
US Patent 10,827,942, 2020
Structured features in naive Bayes classification
A Choi, N Tavabi, A Darwiche
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
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
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
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
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors
K Burghardt, N Tavabi, E Ferrara, S Narayanan, K Lerman
Social, Cultural, and Behavioral Modeling: 14th International Conference …, 2021
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
Learning behavioral representations from wearable sensors
N Tavabi, H Hosseinmardi, JL Villatte, A Abeliuk, S Narayanan, E Ferrara, ...
Social, Cultural, and Behavioral Modeling: 13th International Conference …, 2020
Pattern discovery in physiological data with byte pair encoding
N Tavabi, K Lerman
Multimodal AI in healthcare: A paradigm shift in health intelligence, 227-243, 2022
Systematic evaluation of common natural language processing techniques to codify clinical notes
N Tavabi, M Singh, J Pruneski, A Kiapour
medRxiv, 2022.10. 10.22280852, 2022
Cognitive Digital Biomarkers from Automated Transcription of Spoken Language
N Tavabi, D Stück, A Signorini, C Karjadi, T Al Hanai, M Sandoval, ...
The journal of prevention of Alzheimer's disease 9 (4), 791-800, 2022
Systems and methods for a text mining approach for predicting exploitation of vulnerabilities
N Tavabi, P Goyal, K Lerman, M Almukaynizi, P Shakarian
US Patent 11,520,900, 2022
A natural language processing pipeline to study disparities in cannabis use and documentation among children and young adults a survey of 21 years of electronic health records
N Tavabi, M Raza, M Singh, S Golchin, H Singh, GD Hogue, AM Kiapour
medRxiv, 2022.10. 12.22281003, 2022
A Compact Pretraining Approach for Neural Language Models
S Golchin, M Surdeanu, N Tavabi, A Kiapour
arXiv preprint arXiv:2208.12367, 2022
Predictors of Patient-Related Cancellations and No-Shows for Pediatric Orthopaedics and Sports Medicine Appointments Are Condition Specific
DH Xiang, L O'Mara, S Ferraro, L Feldman, N Tavabi, AM Kiapour, ...
Journal of the Pediatric Orthopaedic Society of North America 5 (2), 2023
Building Large-Scale Registries from Unstructured Clinical Notes using a Low-Resource Natural Language Processing Pipeline
N Tavabi, J Pruneski, S Golchin, M Singh, R Sanborn, B Heyworth, ...
medRxiv, 2022.12. 23.22283914, 2022
Modeling Dynamic Behaviors within Population
N Tavabi
Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13736 …, 2020
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