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ORCIDGokul S. Krishnan
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2020 – today
- 2024
[i6]Yogesh Tripathi, Raghav Donakanti, Sahil Girhepuje, Ishan Kavathekar, Bhaskara Hanuma Vedula, Gokul S. Krishnan, Shreya Goyal, Anmol Goel, Balaraman Ravindran, Ponnurangam Kumaraguru:
InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain? CoRR abs/2402.10567 (2024)- [i5]Ambreesh Parthasarathy, Aditya Phalnikar, Ameen Jauhar, Dhruv Somayajula, Gokul S. Krishnan, Balaraman Ravindran:
Participatory Approaches in AI Development and Governance: A Principled Approach. CoRR abs/2407.13100 (2024) - [i4]Ambreesh Parthasarathy, Aditya Phalnikar, Gokul S. Krishnan, Ameen Jauhar, Balaraman Ravindran:
Participatory Approaches in AI Development and Governance: Case Studies. CoRR abs/2407.13103 (2024) - 2023
- [i3]Sahil Girhepuje, Anmol Goel, Gokul S. Krishnan, Shreya Goyal, Satyendra Pandey, Ponnurangam Kumaraguru, Balaraman Ravindran:
Are Models Trained on Indian Legal Data Fair? CoRR abs/2303.07247 (2023) - [i2]Gokul S. Krishnan, Sarala Padi, Craig S. Greenberg, Balaraman Ravindran, Dinesh Manocha, Ram D. Sriram:
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks. CoRR abs/2312.03756 (2023) - 2022
- [c11]Sruthikeerthi Nandita, Goutham Zampani, Gokul S. Krishnan, Gitakrishnan Ramadurai
, Balaraman Ravindran:
Automated Incident Location Identification for EMS from Ambulance Geospatial Data. COMAD/CODS 2022: 162-168 - 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) - [c10]Akshara Prabhakar, Shidharth Srinivasan, Gokul S. Krishnan, S. Sowmya Kamath:
Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data. BDA 2021: 197-210 - [c9]Akshara P, Shidharth S, Gokul S. Krishnan, Sowmya Kamath S.:
Integrating Structured and Unstructured Patient Data for ICD9 Disease Code Group Prediction. COMAD/CODS 2021: 436 - [c8]Gokul S. Krishnan, S. Sowmya Kamath, Vijayan Sugumaran:
Predicting Vaccine Hesitancy and Vaccine Sentiment Using Topic Modeling and Evolutionary Optimization. NLDB 2021: 255-263 - 2020
- [j3]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]K. Karthik, Gokul S. Krishnan, Shashank Shetty, Sanjay S. Bankapur, Ranjit P. Kolkar, T. S. Ashwin, Manjunath K. Vanahalli:
Analysis and Prediction of Fantasy Cricket Contest Winners Using Machine Learning Techniques. FICTA (1) 2020: 443-453 - [c5]Gokul S. Krishnan, S. Sowmya Kamath:
Hybrid Text Feature Modeling for Disease Group Prediction Using Unstructured Physician Notes. ICCS (4) 2020: 321-333
2010 – 2019
- 2019
- [j2]Gokul S. Krishnan, Sowmya Kamath S.:
A novel GA-ELM model for patient-specific mortality prediction over large-scale lab event data. Appl. Soft Comput. 80: 525-533 (2019) - [j1]Gokul S. Krishnan, Sowmya Kamath S.:
Ontology-driven Text Feature Modeling for Disease Prediction using Unstructured Radiological Notes. Computación y Sistemas 23(3) (2019) - [c4]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 - [c3]Gokul S. Krishnan, S. Sowmya Kamath:
Evaluating the quality of word representation models for unstructured clinical Text based ICU mortality prediction. ICDCN 2019: 480-485 - [c2]Tushaar Gangavarapu, Aditya Jayasimha, Gokul S. Krishnan, Sowmya Kamath S.:
TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes. NLDB 2019: 195-207 - [i1]Gokul S. Krishnan, S. Sowmya Kamath:
Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes. CoRR abs/1911.11657 (2019) - 2018
- [c1]Gokul S. Krishnan, S. Sowmya Kamath:
A Supervised Learning Approach for ICU Mortality Prediction Based on Unstructured Electrocardiogram Text Reports. NLDB 2018: 126-134
Coauthor Index
aka: Sowmya Kamath S.
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