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Nazgol Tavabi
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2020 – today
- 2024
- [j2]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: 102847 (2024) - 2023
- [j1]Nazgol Tavabi
, Marium Raza, Mallika Singh
Disparities in cannabis use and documentation in electronic health records among children and young adults. npj Digit. Medicine 6 (2023) - [c9]Shilpa Suresh, Nazgol Tavabi, Shahriar Golchin, Leah Gilreath, Rafael Garcia-Andujar, Alexander Kim, Joseph Murray, Blake Bacevich, Ata M. Kiapour:
Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER. BioNLP@ACL 2023: 320-325 - [c8]Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour:
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords. RepL4NLP@ACL 2023: 13-21 - [i8]Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour:
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords. CoRR abs/2307.07160 (2023) - 2022
- [i7]Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour:
A Compact Pretraining Approach for Neural Language Models. CoRR abs/2208.12367 (2022) - 2021
- [c7]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: 257-267 - [i6]Nazgol Tavabi, Kristina Lerman:
Pattern Discovery in Time Series with Byte Pair Encoding. CoRR abs/2106.00614 (2021) - 2020
- [c6]Nazgol Tavabi:
Modeling Dynamic Behaviors within Population. AAAI 2020: 13736-13737 - [c5]Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth Narayanan, Emilio Ferrara
Learning Behavioral Representations from Wearable Sensors. SBP-BRiMS 2020: 245-254 - [c4]Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman:
Challenges in Forecasting Malicious Events from Incomplete Data. WWW (Companion Volume) 2020: 603-610 - [i5]Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman:
Challenges in Forecasting Malicious Events from Incomplete Data. CoRR abs/2004.04597 (2020) - [i4]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 abs/2008.01723 (2020)
2010 – 2019
- 2019
- [c3]Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara
Characterizing Activity on the Deep and Dark Web. WWW (Companion Volume) 2019: 206-213 - [i3]Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman:
Characterizing Activity on the Deep and Dark Web. CoRR abs/1903.00156 (2019) - [i2]Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth S. Narayanan, Emilio Ferrara, Kristina Lerman:
Learning Behavioral Representations from Wearable Sensors. CoRR abs/1911.06959 (2019) - 2018
- [c2]Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman:
DarkEmbed: Exploit Prediction With Neural Language Models. AAAI 2018: 7849-7854 - [i1]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 abs/1806.03342 (2018) - 2016
- [c1]Arthur Choi, Nazgol Tavabi, Adnan Darwiche:
Structured Features in Naive Bayes Classification. AAAI 2016: 3233-3240
Coauthor Index
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