A Supervised Learning Approach for ICU Mortality Prediction Based on Unstructured Electrocardiogram Text Reports. - Gokul S. Krishnan; S. Sowmya Kamath (NLDB, 2018)

Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification. - Tushaar Gangavarapu; Gokul S. Krishnan; Sowmya Kamath S. (CoNLL, 2019)

Evaluating the quality of word representation models for unstructured clinical Text based ICU mortality prediction. - Gokul S. Krishnan; S. Sowmya Kamath (ICDCN, 2019)

TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes. - Tushaar Gangavarapu; Aditya Jayasimha; Gokul S. Krishnan; Sowmya Kamath S. (NLDB, 2019)

A novel GA-ELM model for patient-specific mortality prediction over large-scale lab event data. - Gokul S. Krishnan; Sowmya Kamath S. (Appl. Soft Comput., 2019)

Ontology-driven Text Feature Modeling for Disease Prediction using Unstructured Radiological Notes. - Gokul S. Krishnan; Sowmya Kamath S. (Computación y Sistemas, 2019)

Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes. - Aditya Jayasimha; Tushaar Gangavarapu; S. Sowmya Kamath; Gokul S. Krishnan (COMAD/CODS, 2020)

Analysis and Prediction of Fantasy Cricket Contest Winners Using Machine Learning Techniques. - K. Karthik; Gokul S. Krishnan; Shashank Shetty; Sanjay S. Bankapur; Ranjit P. Kolkar; T. S. Ashwin; Manjunath K. Vanahalli (FICTA (1), 2020)

Hybrid Text Feature Modeling for Disease Group Prediction Using Unstructured Physician Notes. - Gokul S. Krishnan; S. Sowmya Kamath (ICCS (4), 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)

Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data. - Akshara Prabhakar; Shidharth Srinivasan; Gokul S. Krishnan; S. Sowmya Kamath (BDA, 2021)

Integrating Structured and Unstructured Patient Data for ICD9 Disease Code Group Prediction. - Akshara P; Shidharth S; Gokul S. Krishnan; Sowmya Kamath S. (COMAD/CODS, 2021)

Predicting Vaccine Hesitancy and Vaccine Sentiment Using Topic Modeling and Evolutionary Optimization. - Gokul S. Krishnan; S. Sowmya Kamath; Vijayan Sugumaran (NLDB, 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)

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)

Automated Incident Location Identification for EMS from Ambulance Geospatial Data. - Sruthikeerthi Nandita; Goutham Zampani; Gokul S. Krishnan; Gitakrishnan Ramadurai; Balaraman Ravindran (COMAD/CODS, 2022)

Are Models Trained on Indian Legal Data Fair? - Sahil Girhepuje; Anmol Goel; Gokul S. Krishnan; Shreya Goyal; Satyendra Pandey; Ponnurangam Kumaraguru; Balaraman Ravindran (CoRR, 2023)

LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks. - Gokul S. Krishnan; Sarala Padi; Craig S. Greenberg; Balaraman Ravindran; Dinesh Manocha; Ram D. Sriram (CoRR, 2023)

InSaAF: Incorporating Safety Through Accuracy and Fairness - Are LLMs Ready for the Indian Legal Domain? - Yogesh Tripathi; Raghav Donakanti; Sahil Girhepuje; Ishan Kavathekar; Bhaskara Hanuma Vedula; Gokul S. Krishnan; Anmol Goel; Shreya Goyal; Balaraman Ravindran; Ponnurangam Kumaraguru (JURIX, 2024)

Participatory Approaches in AI Development and Governance: A Principled Approach. - Ambreesh Parthasarathy; Aditya Phalnikar; Ameen Jauhar; Dhruv Somayajula; Gokul S. Krishnan; Balaraman Ravindran (CoRR, 2024)

Participatory Approaches in AI Development and Governance: Case Studies. - Ambreesh Parthasarathy; Aditya Phalnikar; Gokul S. Krishnan; Ameen Jauhar; Balaraman Ravindran (CoRR, 2024)

LExT: Towards Evaluating Trustworthiness of Natural Language Explanations. - Krithi Shailya; Shreya Rajpal; Gokul S. Krishnan; Balaraman Ravindran (FAccT, 2025)