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Ankita Agarwal
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2020 – today
- 2024
- [i6]Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan:
Towards Building Autonomous Data Services on Azure. CoRR abs/2405.01813 (2024) - 2023
- [c9]Ankita Agarwal
, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita:
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. ICDH 2023: 208-216 - [c8]Yiwen Zhu
Towards Building Autonomous Data Services on Azure. SIGMOD Conference Companion 2023: 217-224 - [i5]Ankita Agarwal
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing. CoRR abs/2303.15663 (2023) - [i4]Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita:
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. CoRR abs/2305.19373 (2023) - 2022
- [c7]Ankita Agarwal
Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure. EMBC 2022: 2643-2646 - [i3]Ankita Agarwal
Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure. CoRR abs/2204.07074 (2022) - 2021
- [c6]Yiwen Zhu
KEA: Tuning an Exabyte-Scale Data Infrastructure. SIGMOD Conference 2021: 2667-2680 - [i2]Yiwen Zhu, Subru Krishnan, Konstantinos Karanasos, Isha Tarte, Conor Power, Abhishek Modi, Manoj Kumar, Deli Zhang, Kartheek Muthyala, Nick Jurgens, Sarvesh Sakalanaga, Sudhir Darbha, Minu Iyer, Ankita Agarwal, Carlo Curino:
KEA: Tuning an Exabyte-Scale Data Infrastructure. CoRR abs/2106.11445 (2021) - 2020
- [c5]Ankita Agarwal
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. IEEE BigData 2020: 886-891 - [c4]Ankita Agarwal
Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination. IEEE BigData 2020: 4981-4987 - [i1]Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee:
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. CoRR abs/2011.00377 (2020)
2010 – 2019
- 2018
- [c3]Mohd Hamza Naim Shaikh
On the Spectral Content of Nonlinear Carrier Aggregated Windowed OFDM Systems. ANTS 2018: 1-5 - [c2]Parag Aggarwal
On the spectral content of the nonlinearly amplified carrier aggregated OFDM system. WCNC 2018: 1-5 - 2016
- [c1]Parag Aggarwal
Error vector magnitude analysis for carrier aggregated OFDM signals with nonlinear HPA. ANTS 2016: 1-3
Coauthor Index
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last updated on 2024-06-10 20:30 CEST by the dblp team
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