Nazgol Tavabi

According to our database, Nazgol Tavabi authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline.

Nazgol Tavabi, James D. Pruneski, Shahriar Golchin, Mallika Singh, Ryan Sanborn, Benton Heyworth, Assaf Landschaft, Amir A. Kimia, Ata M. Kiapour

Artif. Intell. Medicine, 2024

2023

Disparities in cannabis use and documentation in electronic health records among children and young adults.

Nazgol Tavabi, Marium Raza, Mallika Singh, Shahriar Golchin, Harsev Singh, Grant D. Hogue, Ata M. Kiapour

npj Digit. Medicine, 2023

Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords.

Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER.

Shilpa Suresh, Nazgol Tavabi, Shahriar Golchin, Leah Gilreath, Rafael Garcia-Andujar, Alexander Kim, Joseph Murray, Blake Bacevich, Ata M. Kiapour

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

A Compact Pretraining Approach for Neural Language Models.

Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour

CoRR, 2022

2021

Pattern Discovery in Time Series with Byte Pair Encoding.

Nazgol Tavabi, Kristina Lerman

CoRR, 2021

Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors.

Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman

Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

2020

Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors.

Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman

CoRR, 2020

Challenges in Forecasting Malicious Events from Incomplete Data.

Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Learning Behavioral Representations from Wearable Sensors.

Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth Narayanan, Emilio Ferrara, Kristina Lerman

Proceedings of the Social, Cultural, and Behavioral Modeling, 2020

Modeling Dynamic Behaviors within Population.

Nazgol Tavabi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Characterizing Activity on the Deep and Dark Web.

Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

2018

Discovering Signals from Web Sources to Predict Cyber Attacks.

Palash Goyal, K. S. M. Tozammel Hossain, Ashok Deb, Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman

CoRR, 2018

DarkEmbed: Exploit Prediction With Neural Language Models.

Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Structured Features in Naive Bayes Classification.

Arthur Choi, Nazgol Tavabi, Adnan Darwiche

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016