A Single Program Multiple Data Algorithm for Feature Selection. - Bhabesh Chanduka; Tushaar Gangavarapu; C. D. Jaidhar (ISDA (1), 2018)

Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification. - Tushaar Gangavarapu; Gokul S. Krishnan; Sowmya Kamath S. (CoNLL, 2019)

Parallel OpenMP and CUDA Implementations of the N-Body Problem. - Tushaar Gangavarapu; Himadri Pal; Pratyush Prakash; Suraj Hegde; V. Geetha (ICCSA (1), 2019)

An Empirical Study to Detect the Collision Rate in Similarity Hashing Algorithm Using MD5. - Tushaar Gangavarapu; C. D. Jaidhar (ICDSE, 2019)

TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes. - Tushaar Gangavarapu; Aditya Jayasimha; Gokul S. Krishnan; Sowmya Kamath S. (NLDB, 2019)

A novel filter-wrapper hybrid greedy ensemble approach optimized using the genetic algorithm to reduce the dimensionality of high-dimensional biomedical datasets. - Tushaar Gangavarapu; Nagamma Patil (Appl. Soft Comput., 2019)

Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes. - Aditya Jayasimha; Tushaar Gangavarapu; S. Sowmya Kamath; Gokul S. Krishnan (COMAD/CODS, 2020)

A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection. - Tushaar Gangavarapu; C. D. Jaidhar (ICCS (3), 2020)

Applicability of machine learning in spam and phishing email filtering: review and approaches. - Tushaar Gangavarapu; C. D. Jaidhar; Bhabesh Chanduka (Artif. Intell. Rev., 2020)

Predicting ICD-9 code groups with fuzzy similarity based supervised multi-label classification of unstructured clinical nursing notes. - Tushaar Gangavarapu; Aditya Jayasimha; Gokul S. Krishnan; Sowmya Kamath S. (Knowl. Based Syst., 2020)

Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries. - Veena Mayya; Sowmya Kamath S.; Gokul S. Krishnan; Tushaar Gangavarapu (Future Gener. Comput. Syst., 2021)

FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes. - Tushaar Gangavarapu; Gokul S. Krishnan; S. Sowmya Kamath; Jayakumar Jeganathan (IEEE Trans. Emerg. Top. Comput., 2021)

Assessing the efficacy of large language models in generating accurate teacher responses. - Yann Hicke; Abhishek Masand; Wentao Guo; Tushaar Gangavarapu (BEA@ACL, 2023)

MambaByte: Token-free Selective State Space Model. - Junxiong Wang; Tushaar Gangavarapu; Jing Nathan Yan; Alexander M. Rush (CoRR, 2024)

GPT-2 Through the Lens of Vector Symbolic Architectures. - Johannes Knittel; Tushaar Gangavarapu; Hendrik Strobelt; Hanspeter Pfister (CoRR, 2024)

Conversations Gone Awry, But Then? Evaluating Conversational Forecasting Models. - Son Quoc Tran; Tushaar Gangavarapu; Nicholas Chernogor; Jonathan P. Chang; Cristian Danescu-Niculescu-Mizil (CoRR, 2025)