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Conference and Workshop Papers
- 2023
[c5]Dhaval Patel, Shuxin Lin, Dhruv Shah, Srideepika Jayaraman, Joern Ploennigs, Anuradha Bhamidipati, Jayant Kalagnanam:
AI Model Factory: Scaling AI for Industry 4.0 Applications. AAAI 2023: 16467-16469- 2022
- [c4]Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty, Jayant Kalagnanam:
AnomalyKiTS: Anomaly Detection Toolkit for Time Series. AAAI 2022: 13209-13211 - 2021
- [c3]Srideepika Jayaraman, Chandra Reddy, Elham Khabiri, Dhaval Patel, Anuradha Bhamidipaty, Jayant Kalagnanam:
Asset Modeling using Serverless Computing. IEEE BigData 2021: 4084-4090 - [c2]Dhaval Patel, Shuxin Lin, Srideepika Jayaraman, Giridhar Ganapavarapu, Anuradha Bhamidipaty, Jayant Kalagnanam:
Scaling Anomaly Detection Service Using Serverless Technology. IEEE BigData 2021: 5982-5984 - [c1]George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff:
A Transformer-based Framework for Multivariate Time Series Representation Learning. KDD 2021: 2114-2124
Informal and Other Publications
- 2024
- [i2]Achille Fokoue, Srideepika Jayaraman, Elham Khabiri, Jeffrey O. Kephart, Yingjie Li, Dhruv Shah, Youssef Drissi, Fenno F. Terry Heath III, Anuradha Bhamidipaty, Fateh Tipu, Robert J. Baseman:
A System and Benchmark for LLM-based Q&A on Heterogeneous Data. CoRR abs/2409.05735 (2024) - 2020
- [i1]George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff:
A Transformer-based Framework for Multivariate Time Series Representation Learning. CoRR abs/2010.02803 (2020)
Coauthor Index
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