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2020 – today
- 2022
[c6]Arash Afkanpour, Shabir Adeel, Hansenclever Bassani, Arkady Epshteyn, Hongbo Fan, Isaac Jones, Mahan Malihi, Adrian Nauth, Raj Sinha, Sanjana Woonna, Shiva Zamani, Elli Kanal, Mikhail Fomitchev, Donny Cheung:
BERT for Long Documents: A Case Study of Automated ICD Coding. LOUHI@EMNLP 2022: 100-107- [i3]Arash Afkanpour, Shabir Adeel, Hansenclever Bassani, Arkady Epshteyn, Hongbo Fan, Isaac Jones, Mahan Malihi, Adrian Nauth, Raj Sinha, Sanjana Woonna, Shiva Zamani, Elli Kanal, Mikhail Fomitchev, Donny Cheung:
BERT for Long Documents: A Case Study of Automated ICD Coding. CoRR abs/2211.02519 (2022) - 2021
- [j2]Sercan Ö. Arik
, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister:
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. npj Digit. Medicine 4 (2021) - 2020
- [c5]Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister:
Interpretable Sequence Learning for Covid-19 Forecasting. NeurIPS 2020 - [i2]Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister:
Interpretable Sequence Learning for COVID-19 Forecasting. CoRR abs/2008.00646 (2020)
2010 – 2019
- 2011
- [i1]Gerald DeJong, Arkady Epshteyn:
Generative Prior Knowledge for Discriminative Classification. CoRR abs/1109.6033 (2011)
2000 – 2009
- 2008
- [c4]Arkady Epshteyn, Adam Vogel, Gerald DeJong:
Active reinforcement learning. ICML 2008: 296-303 - 2007
- [b1]Arkady Epshteyn:
Combining Prior Knowledge and Data: Beyond the Bayesian Framework. University of Illinois Urbana-Champaign, USA, 2007 - 2006
- [j1]Arkady Epshteyn, Gerald DeJong:
Generative Prior Knowledge for Discriminative Classification. J. Artif. Intell. Res. 27: 25-53 (2006) - [c3]Arkady Epshteyn, Gerald DeJong:
Qualitative reinforcement learning. ICML 2006: 305-312 - 2005
- [c2]Arkady Epshteyn, Gerald DeJong:
Rotational Prior Knowledge for SVMs. ECML 2005: 108-119 - [c1]Arkady Epshteyn, María Jesús Garzarán, Gerald DeJong, David A. Padua, Gang Ren, Xiaoming Li, Kamen Yotov, Keshav Pingali:
Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization. LCPC 2005: 259-273
Coauthor Index
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