Sindhu Tipirneni

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Supervised Learning

Traumatic Brain Injury

Code Generation

Multivariate Time Series

Top Venues

ACM Trans. Knowl. Discov. Data

J. Biomed. Informatics

Publications

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 (2024)
Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy
StructCoder: Structure-Aware Transformer for Code Generation. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
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 (2023)
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy
Execution-based Code Generation using Deep Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy
Execution-based Code Generation using Deep Reinforcement Learning. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
Sindhu Tipirneni, Chandan K. Reddy
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
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 (2022)
Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy
StructCoder: Structure-Aware Transformer for Code Generation. CoRR (2022)
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)
Ming Zhu, Aneesh Jain, Karthik Suresh, Roshan Ravindran, Sindhu Tipirneni, Chandan K. Reddy
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence. CoRR (2022)
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 (2022)
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)
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)
Sindhu Tipirneni, Chandan K. Reddy
Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values. CoRR (2021)