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ORCIDTushaar Gangavarapu
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2020 – today
- 2024
[i2]Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush:
MambaByte: Token-free Selective State Space Model. CoRR abs/2401.13660 (2024)- 2023
- [c8]Yann Hicke, Abhishek Masand, Wentao Guo, Tushaar Gangavarapu:
Assessing the efficacy of large language models in generating accurate teacher responses. BEA@ACL 2023: 745-755 - [i1]Yann Hicke, Abhishek Masand, Wentao Guo, Tushaar Gangavarapu:
Assessing the efficacy of large language models in generating accurate teacher responses. CoRR abs/2307.04274 (2023) - 2021
- [j5]Veena Mayya, Sowmya Kamath S.
, Gokul S. Krishnan, Tushaar Gangavarapu:
Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries. Future Gener. Comput. Syst. 118: 374-391 (2021) - [j4]Tushaar Gangavarapu, Gokul S. Krishnan, S. Sowmya Kamath, Jayakumar Jeganathan:
FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes. IEEE Trans. Emerg. Top. Comput. 9(3): 1151-1169 (2021) - 2020
- [j3]Tushaar Gangavarapu, C. D. Jaidhar, Bhabesh Chanduka:
Applicability of machine learning in spam and phishing email filtering: review and approaches. Artif. Intell. Rev. 53(7): 5019-5081 (2020) - [j2]Tushaar Gangavarapu, Aditya Jayasimha, Gokul S. Krishnan, Sowmya Kamath S.:
Predicting ICD-9 code groups with fuzzy similarity based supervised multi-label classification of unstructured clinical nursing notes. Knowl. Based Syst. 190: 105321 (2020) - [c7]Aditya Jayasimha, Tushaar Gangavarapu, S. Sowmya Kamath, Gokul S. Krishnan:
Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes. COMAD/CODS 2020: 152-160 - [c6]Tushaar Gangavarapu, C. D. Jaidhar:
A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection. ICCS (3) 2020: 240-254
2010 – 2019
- 2019
- [j1]Tushaar Gangavarapu, Nagamma Patil:
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. 81 (2019) - [c5]Tushaar Gangavarapu, Gokul S. Krishnan, Sowmya Kamath S.:
Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification. CoNLL 2019: 1012-1022 - [c4]Tushaar Gangavarapu, Himadri Pal, Pratyush Prakash, Suraj Hegde, V. Geetha:
Parallel OpenMP and CUDA Implementations of the N-Body Problem. ICCSA (1) 2019: 193-208 - [c3]Tushaar Gangavarapu, C. D. Jaidhar:
An Empirical Study to Detect the Collision Rate in Similarity Hashing Algorithm Using MD5. ICDSE 2019: 11-14 - [c2]Tushaar Gangavarapu, Aditya Jayasimha, Gokul S. Krishnan, Sowmya Kamath S.:
TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes. NLDB 2019: 195-207 - 2018
- [c1]Bhabesh Chanduka, Tushaar Gangavarapu, C. D. Jaidhar:
A Single Program Multiple Data Algorithm for Feature Selection. ISDA (1) 2018: 662-672
Coauthor Index
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