Tushaar Gangavarapu

18 papers B 1C 1Misc 1Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data Distribution as a Lever for Guiding Optimizers Toward Superior Generalization in LLMs. CoRR Tushaar Gangavarapu, Jiping Li, Christopher Vattheuer, Zhangyang Wang, Baharan Mirzasoleiman
2025	J	`jnl`	Conversations Gone Awry, But Then? Evaluating Conversational Forecasting Models. CoRR Son Quoc Tran, Tushaar Gangavarapu, Nicholas Chernogor, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil
2024	J	`jnl`	GPT-2 Through the Lens of Vector Symbolic Architectures. CoRR Johannes Knittel, Tushaar Gangavarapu, Hendrik Strobelt, Hanspeter Pfister
2024	J	`jnl`	MambaByte: Token-free Selective State Space Model. CoRR Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush
2023	—	`conf`	Assessing the efficacy of large language models in generating accurate teacher responses. BEA@ACL Yann Hicke, Abhishek Masand, Wentao Guo, Tushaar Gangavarapu
2023	J	`jnl`	Assessing the efficacy of large language models in generating accurate teacher responses. CoRR Yann Hicke, Abhishek Masand, Wentao Guo, Tushaar Gangavarapu
2021	J	`jnl`	FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes. IEEE Trans. Emerg. Top. Comput. Tushaar Gangavarapu, Gokul S. Krishnan, S. Sowmya Kamath, Jayakumar Jeganathan
2021	J	`jnl`	Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries. Future Gener. Comput. Syst. Veena Mayya, Sowmya Kamath S., Gokul S. Krishnan, Tushaar Gangavarapu
2020	—	`conf`	A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection. ICCS (3) Tushaar Gangavarapu, C. D. Jaidhar
2020	J	`jnl`	Applicability of machine learning in spam and phishing email filtering: review and approaches. Artif. Intell. Rev. Tushaar Gangavarapu, C. D. Jaidhar, Bhabesh Chanduka
2020	—	`conf`	Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes. COMAD/CODS Aditya Jayasimha, Tushaar Gangavarapu, S. Sowmya Kamath, Gokul S. Krishnan
2020	J	`jnl`	Predicting ICD-9 code groups with fuzzy similarity based supervised multi-label classification of unstructured clinical nursing notes. Knowl. Based Syst. Tushaar Gangavarapu, Aditya Jayasimha, Gokul S. Krishnan, Sowmya Kamath S.
2019	J	`jnl`	A novel filter-wrapper hybrid greedy ensemble approach optimized using the genetic algorithm to reduce the dimensionality of high-dimensional biomedical datasets. Appl. Soft Comput. Tushaar Gangavarapu, Nagamma Patil
2019	Misc	`conf`	An Empirical Study to Detect the Collision Rate in Similarity Hashing Algorithm Using MD5. ICDSE Tushaar Gangavarapu, C. D. Jaidhar
2019	B	`conf`	Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification. CoNLL Tushaar Gangavarapu, Gokul S. Krishnan, Sowmya Kamath S.
2019	—	`conf`	Parallel OpenMP and CUDA Implementations of the N-Body Problem. ICCSA (1) Tushaar Gangavarapu, Himadri Pal, Pratyush Prakash, Suraj Hegde, V. Geetha
2019	C	`conf`	TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes. NLDB Tushaar Gangavarapu, Aditya Jayasimha, Gokul S. Krishnan, Sowmya Kamath S.
2018	—	`conf`	A Single Program Multiple Data Algorithm for Feature Selection. ISDA (1) Bhabesh Chanduka, Tushaar Gangavarapu, C. D. Jaidhar