Nazgol Tavabi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Wearable Sensors

Top Venues

WWW (Companion Volume)

Publications

Nazgol Tavabi, James D. Pruneski, Shahriar Golchin, Mallika Singh, Ryan Sanborn, Benton Heyworth, Assaf Landschaft, Amir A. Kimia, Ata M. Kiapour
Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline. Artif. Intell. Medicine 151 (2024)
Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata Kiapour
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords. RepL4NLP@ACL (2023)
Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata Kiapour
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords. CoRR (2023)
Nazgol Tavabi, Marium Raza, Mallika Singh, Shahriar Golchin, Harsev Singh, Grant D. Hogue, Ata M. Kiapour
Disparities in cannabis use and documentation in electronic health records among children and young adults. npj Digit. Medicine 6 (2023)
Shilpa Suresh, Nazgol Tavabi, Shahriar Golchin, Leah Gilreath, Rafael Garcia-Andujar, Alexander Kim, Joseph Murray, Blake Bacevich, Ata Kiapour
Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER. BioNLP@ACL (2023)
Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata Kiapour
A Compact Pretraining Approach for Neural Language Models. CoRR (2022)
Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. SBP-BRiMS (2021)
Nazgol Tavabi, Kristina Lerman
Pattern Discovery in Time Series with Byte Pair Encoding. CoRR (2021)
Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman
Challenges in Forecasting Malicious Events from Incomplete Data. WWW (Companion Volume) (2020)
Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman
Challenges in Forecasting Malicious Events from Incomplete Data. CoRR (2020)
Nazgol Tavabi
Modeling Dynamic Behaviors within Population. AAAI (2020)
Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth Narayanan, Emilio Ferrara, Kristina Lerman
Learning Behavioral Representations from Wearable Sensors. SBP-BRiMS (2020)
Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman
Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors. CoRR (2020)
Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth S. Narayanan, Emilio Ferrara, Kristina Lerman
Learning Behavioral Representations from Wearable Sensors. CoRR (2019)
Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman
Characterizing Activity on the Deep and Dark Web. WWW (Companion Volume) (2019)
Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman
Characterizing Activity on the Deep and Dark Web. CoRR (2019)
Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman
DarkEmbed: Exploit Prediction With Neural Language Models. AAAI (2018)
Palash Goyal, K. S. M. Tozammel Hossain, Ashok Deb, Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman
Discovering Signals from Web Sources to Predict Cyber Attacks. CoRR (2018)
Arthur Choi, Nazgol Tavabi, Adnan Darwiche
Structured Features in Naive Bayes Classification. AAAI (2016)