| Applicability of machine learning in spam and phishing email filtering: review and approaches T Gangavarapu, CD Jaidhar, B Chanduka Artificial Intelligence Review 53 (7), 2020 | 192 | 2020 |
| A novel filter–wrapper hybrid greedy ensemble approach optimized using the genetic algorithm to reduce the dimensionality of high-dimensional biomedical datasets T Gangavarapu, N Patil Applied Soft Computing 81, 105538, 2019 | 50 | 2019 |
| Predicting ICD-9 code groups with fuzzy similarity based supervised multi-label classification of unstructured clinical nursing notes T Gangavarapu, A Jayasimha, GS Krishnan, SS Kamath Knowledge-Based Systems, 105321, 2019 | 48 | 2019 |
| Mambabyte: Token-free selective state space model J Wang, T Gangavarapu, JN Yan, AM Rush arXiv preprint arXiv:2401.13660, 2024 | 41 | 2024 |
| FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes T Gangavarapu, GS Krishnan, SS Kamath, J Jeganathan IEEE Transactions on Emerging Topics in Computing 9 (3), 1151-1169, 2021 | 39 | 2021 |
| Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries V Mayya, S Kamath S, GS Krishnan, T Gangavarapu Future Generation Computer Systems, 2021 | 25 | 2021 |
| TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes T Gangavarapu, A Jayasimha, GS Krishnan, SS Kamath 20th International Conference on Natural Language Processing and Information …, 2019 | 16 | 2019 |
| Assessing the efficacy of large language models in generating accurate teacher responses Y Hicke, A Masand, W Guo, T Gangavarapu arXiv preprint arXiv:2307.04274, 2023 | 11 | 2023 |
| Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes A Jayasimha, T Gangavarapu, SS Kamath, GS Krishnan 7th ACM IKDD CoDS and 25th COMAD – CoDS-COMAD 2020, 152-160, 2020 | 6 | 2020 |
| A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection T Gangavarapu, CD Jaidhar International Conference on Computational Science (ICCS), 2020 | 6 | 2020 |
| Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification T Gangavarapu, GS Krishnan, SS Kamath 23rd Conference on Computational Natural Language Learning – CoNLL 2019 …, 2019 | 6 | 2019 |
| GPT-2 Through the Lens of Vector Symbolic Architectures J Knittel, T Gangavarapu, H Strobelt, H Pfister arXiv preprint arXiv:2412.07947, 2024 | | 2024 |
Alexander M. RushAssociate Professor, Cornell UniversityVerificeret mail på cornell.edu