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Journal Articles
- 2024
[j5]Sindhu Tipirneni
, Ming Zhu, Chandan K. Reddy:
StructCoder: Structure-Aware Transformer for Code Generation. ACM Trans. Knowl. Discov. Data 18(3): 70:1-70:20 (2024)- 2023
- [j4]Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian:
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping. J. Biomed. Informatics 143: 104401 (2023) - [j3]Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian:
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values. J. Biomed. Informatics 144: 104438 (2023) - [j2]Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy:
Execution-based Code Generation using Deep Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j1]Sindhu Tipirneni, Chandan K. Reddy:
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series. ACM Trans. Knowl. Discov. Data 16(6): 105:1-105:17 (2022)
Conference and Workshop Papers
- 2022
- [c3]Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian:
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. AMIA 2022 - 2021
- [c2]Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy:
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. AMIA 2021 - [c1]Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Jonathan J. Ratcliff, Chandan K. Reddy, Vignesh Subbian:
Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury. AMIA 2021
Informal and Other Publications
- 2024
- [i9]Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy:
Context-Aware Clustering using Large Language Models. CoRR abs/2405.00988 (2024) - 2023
- [i8]Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy:
Execution-based Code Generation using Deep Reinforcement Learning. CoRR abs/2301.13816 (2023) - [i7]Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian:
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping. CoRR abs/2302.13457 (2023) - [i6]Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian:
Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series. CoRR abs/2303.13024 (2023) - 2022
- [i5]Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy:
StructCoder: Structure-Aware Transformer for Code Generation. CoRR abs/2206.05239 (2022) - [i4]Ming Zhu, Aneesh Jain, Karthik Suresh, Roshan Ravindran, Sindhu Tipirneni, Chandan K. Reddy:
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence. CoRR abs/2206.08474 (2022) - [i3]Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian:
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. CoRR abs/2208.06717 (2022) - [i2]Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian:
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values. CoRR abs/2211.06507 (2022) - 2021
- [i1]Sindhu Tipirneni, Chandan K. Reddy:
Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values. CoRR abs/2107.14293 (2021)
Coauthor Index
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