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Gokul S. Krishnan
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 21
Top Topics
Acute Myocardial Infarction
Geospatial Data
Neural Learning
Semi Structured
Top Venues
CoRR
NLDB
COMAD/CODS
FICTA (1)
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Publications
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Ambreesh Parthasarathy
,
Aditya Phalnikar
,
Ameen Jauhar
,
Dhruv Somayajula
,
Gokul S. Krishnan
,
Balaraman Ravindran
Participatory Approaches in AI Development and Governance: A Principled Approach.
CoRR
(2024)
Ambreesh Parthasarathy
,
Aditya Phalnikar
,
Gokul S. Krishnan
,
Ameen Jauhar
,
Balaraman Ravindran
Participatory Approaches in AI Development and Governance: Case Studies.
CoRR
(2024)
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
(2024)
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
(2023)
Sruthikeerthi Nandita
,
Goutham Zampani
,
Gokul S. Krishnan
,
Gitakrishnan Ramadurai
,
Balaraman Ravindran
Automated Incident Location Identification for EMS from Ambulance Geospatial Data.
COMAD/CODS
(2022)
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)
Akshara Prabhakar
,
Shidharth Srinivasan
,
Gokul S. Krishnan
,
S. Sowmya Kamath
Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data.
BDA
(2021)
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) (2021)
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 (2021)
Gokul S. Krishnan
,
S. Sowmya Kamath
,
Vijayan Sugumaran
Predicting Vaccine Hesitancy and Vaccine Sentiment Using Topic Modeling and Evolutionary Optimization.
NLDB
(2021)
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)
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 (2020)
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)
Gokul S. Krishnan
,
S. Sowmya Kamath
Hybrid Text Feature Modeling for Disease Group Prediction Using Unstructured Physician Notes.
ICCS (4)
(2020)
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 (2019)
Tushaar Gangavarapu
,
Aditya Jayasimha
,
Gokul S. Krishnan
,
Sowmya Kamath S.
TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes.
NLDB
(2019)
Gokul S. Krishnan
,
S. Sowmya Kamath
Evaluating the quality of word representation models for unstructured clinical Text based ICU mortality prediction.
ICDCN
(2019)
Gokul S. Krishnan
,
S. Sowmya Kamath
Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes.
CoRR
(2019)
Gokul S. Krishnan
,
Sowmya Kamath S.
Ontology-driven Text Feature Modeling for Disease Prediction using Unstructured Radiological Notes.
Computación y Sistemas
23 (3) (2019)
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)
Gokul S. Krishnan
,
S. Sowmya Kamath
A Supervised Learning Approach for ICU Mortality Prediction Based on Unstructured Electrocardiogram Text Reports.
NLDB
(2018)