Tushaar Gangavarapu

According to our database, Tushaar Gangavarapu authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MambaByte: Token-free Selective State Space Model.

Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush

CoRR, 2024

2023

Assessing the efficacy of large language models in generating accurate teacher responses.

Yann Hicke, Abhishek Masand, Wentao Guo, Tushaar Gangavarapu

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

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

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

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

Applicability of machine learning in spam and phishing email filtering: review and approaches.

Tushaar Gangavarapu, C. D. Jaidhar, Bhabesh Chanduka

Artif. Intell. Rev., 2020

A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection.

Tushaar Gangavarapu, C. D. Jaidhar

Proceedings of the Computational Science - ICCS 2020, 2020

Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes.

Aditya Jayasimha, Tushaar Gangavarapu, S. Sowmya Kamath, Gokul S. Krishnan

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

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

TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes.

Tushaar Gangavarapu, Aditya Jayasimha, Gokul S. Krishnan, Sowmya Kamath S.

Proceedings of the Natural Language Processing and Information Systems, 2019

An Empirical Study to Detect the Collision Rate in Similarity Hashing Algorithm Using MD5.

Tushaar Gangavarapu, C. D. Jaidhar

Proceedings of the International Conference on Data Science and Engineering, 2019

Parallel OpenMP and CUDA Implementations of the N-Body Problem.

Tushaar Gangavarapu, Himadri Pal, Pratyush Prakash, Suraj Hegde, V. Geetha

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification.

Tushaar Gangavarapu, Gokul S. Krishnan, Sowmya Kamath S.

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

A Single Program Multiple Data Algorithm for Feature Selection.

Bhabesh Chanduka, Tushaar Gangavarapu, C. D. Jaidhar

Proceedings of the Intelligent Systems Design and Applications, 2018