Nazgol Tavabi

19 papers A* 3Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline.
Artif. Intell. Medicine
Nazgol Tavabi, James D. Pruneski, Shahriar Golchin, Mallika Singh, Ryan Sanborn, Benton Heyworth, Assaf Landschaft, Amir A. Kimia, Ata M. Kiapour
2023 J jnl
Disparities in cannabis use and documentation in electronic health records among children and young adults.
npj Digit. Medicine
Nazgol Tavabi, Marium M. Raza, Mallika Singh, Shahriar Golchin, Harsev Singh, Grant D. Hogue, Ata M. Kiapour
2023 — conf
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords.
RepL4NLP@ACL
Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour
2023 J jnl
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords.
CoRR
Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour
2023 — conf
Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER.
BioNLP@ACL
Shilpa Suresh, Nazgol Tavabi, Shahriar Golchin, Leah Gilreath, Rafael Garcia-Andujar, Alexander Kim, Joseph Murray, Blake Bacevich, Ata M. Kiapour
2022 J jnl
A Compact Pretraining Approach for Neural Language Models.
CoRR
Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour
2021 — conf
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors.
SBP-BRiMS
Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman
2021 J jnl
Pattern Discovery in Time Series with Byte Pair Encoding.
CoRR
Nazgol Tavabi, Kristina Lerman
2020 — conf
Challenges in Forecasting Malicious Events from Incomplete Data.
WWW (Companion Volume)
Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman
2020 J jnl
Challenges in Forecasting Malicious Events from Incomplete Data.
CoRR
Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman
2020 J jnl
Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors.
CoRR
Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman
2020 — conf
Learning Behavioral Representations from Wearable Sensors.
SBP-BRiMS
Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth Narayanan, Emilio Ferrara, Kristina Lerman
2020 A* conf
Modeling Dynamic Behaviors within Population.
AAAI
Nazgol Tavabi
2019 — conf
Characterizing Activity on the Deep and Dark Web.
WWW (Companion Volume)
Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman
2019 J jnl
Characterizing Activity on the Deep and Dark Web.
CoRR
Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman
2019 J jnl
Learning Behavioral Representations from Wearable Sensors.
CoRR
Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth S. Narayanan, Emilio Ferrara, Kristina Lerman
2018 A* conf
DarkEmbed: Exploit Prediction With Neural Language Models.
AAAI
Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman
2018 J jnl
Discovering Signals from Web Sources to Predict Cyber Attacks.
CoRR
Palash Goyal, K. S. M. Tozammel Hossain, Ashok Deb, Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman
2016 A* conf
Structured Features in Naive Bayes Classification.
AAAI
Arthur Choi, Nazgol Tavabi, Adnan Darwiche