S. Sowmya Kamath

Orcid: 0000-0002-0888-7238

Affiliations:
  • National Institute of Technology Karnataka, Surathkal, Mangalore, India


According to our database1, S. Sowmya Kamath authored at least 77 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Correction to: MSDNet: a deep neural ensemble model for abnormality detection and classification of plain radiographs.
J. Ambient Intell. Humaniz. Comput., December, 2023

MSDNet: a deep neural ensemble model for abnormality detection and classification of plain radiographs.
J. Ambient Intell. Humaniz. Comput., December, 2023

Multi-task deep neural network models for learning COVID-19 disease representations from multimodal data.
Int. J. Medical Eng. Informatics, 2023

Nature-inspired query optimisation models for medical information retrieval with relevance feedback.
Int. J. Adv. Intell. Paradigms, 2023

Efficient parameter tuning of neural foundation models for drug perspective prediction from unstructured socio-medical data.
Eng. Appl. Artif. Intell., 2023

An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images.
Appl. Intell., 2023

Effective Information Retrieval, Question Answering and Abstractive Summarization on Large-Scale Biomedical Document Corpora.
Proceedings of the Natural Language Processing and Information Systems, 2023

Ocular Region Segmentation Model for Diagnosis of Microbial Keratitis Using Slit-Lamp Photography.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Network Science based Predictive Analysis on Social Media Data.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
A Framework for Web Services Retrieval Using Bio Inspired Clustering.
CoRR, 2022

Improving Clinical Diagnosis Performance with Automated X-ray Scan Quality Enhancement Algorithms.
CoRR, 2022

Stacking Deep learning and Machine learning models for short-term energy consumption forecasting.
Adv. Eng. Informatics, 2022

TrashBox: Trash Detection and Classification using Quantum Transfer Learning.
Proceedings of the 31st Conference of Open Innovations Association, 2022

Multi-branch Deep Neural Model for Natural Language-Based Vehicle Retrieval.
Proceedings of the Computer Vision and Machine Intelligence, 2022

Water Salinity Assessment Using Remotely Sensed Images - A Comprehensive Survey.
Proceedings of the Computer Vision and Machine Intelligence, 2022

Population-centric Profiling with Social Data for Large-scale Epidemiological studies.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Ensemble Learning Approach for Short-term Energy Consumption Prediction.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

HaleLab_NITK@SMM4H'22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media Data.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

Neural Language Modeling of Unstructured Clinical Notes for Automated Patient Phenotyping.
Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

2021
A deep neural network model for content-based medical image retrieval with multi-view classification.
Vis. Comput., 2021

FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes.
IEEE Trans. Emerg. Top. Comput., 2021

Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries.
Future Gener. Comput. Syst., 2021

Predicting Vaccine Hesitancy and Vaccine Sentiment Using Topic Modeling and Evolutionary Optimization.
Proceedings of the Natural Language Processing and Information Systems, 2021

Designing Scalable Intrusion Detection Systems with Stacking Based Ensemble Learning.
Proceedings of the Intelligent Systems Design and Applications, 2021

Genomic Variant Annotation: A Comprehensive Review of Tools and Techniques.
Proceedings of the Intelligent Systems Design and Applications, 2021

DeepOA: Clinical Decision Support System for Early Detection and Severity Grading of Knee Osteoarthritis.
Proceedings of the 5th International Conference on Computer, 2021

A Probabilistic Precision Information Retrieval Model for Personalized Clinical Trial Recommendation based on Heterogeneous Data.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Integrating Structured and Unstructured Patient Data for ICD9 Disease Code Group Prediction.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

$\mathcal{LAJA}{-}$ Label Attention Transformer Architectures for ICD-10 Coding of Unstructured Clinical Notes.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

SB_NITK at MEDIQA 2021: Leveraging Transfer Learning for Question Summarization in Medical Domain.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data.
Proceedings of the Big Data Analytics - 9th International Conference, 2021

Ensemble ALBERT and RoBERTa for Span Prediction in Question Answering.
Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021

2020
Predicting ICD-9 code groups with fuzzy similarity based supervised multi-label classification of unstructured clinical nursing notes.
Knowl. Based Syst., 2020

AuthNet: A Deep Learning based Authentication Mechanism using Temporal Facial Feature Movements.
CoRR, 2020

A Bag of Visual Words Model for Medical Image Retrieval.
CoRR, 2020

Leveraging Multimodal Behavioral Analytics for Automated Job Interview Performance Assessment and Feedback.
CoRR, 2020

A Multi-Space Approach to Zero-Shot Object Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Automatic Quality Enhancement of Medical Diagnostic Scans with Deep Neural Image Super-Resolution Models.
Proceedings of the 15th IEEE International Conference on Industrial and Information Systems, 2020

Deep Neural Network Models for Detection of Arrhythmia based on Electrocardiogram Reports.
Proceedings of the 11th International Conference on Computing, 2020

Hybrid Text Feature Modeling for Disease Group Prediction Using Unstructured Physician Notes.
Proceedings of the Computational Science - ICCS 2020, 2020

Leveraging Deep Learning Approaches for Patient Case Similarity Evaluation.
Proceedings of the Intelligent Data Engineering and Analytics, 2020

Benchmarking Semantic, Centroid, and Graph-Based Approaches for Multi-document Summarization.
Proceedings of the Intelligent Data Engineering and Analytics, 2020

Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

Improving Convergence in IRGAN with PPO.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019
Discovering composable web services using functional semantics and service dependencies based on natural language requests.
Inf. Syst. Frontiers, 2019

Ontology-driven Text Feature Modeling for Disease Prediction using Unstructured Radiological Notes.
Computación y Sistemas, 2019

Proximal Policy Optimization for Improved Convergence in IRGAN.
CoRR, 2019

A novel GA-ELM model for patient-specific mortality prediction over large-scale lab event data.
Appl. Soft Comput., 2019

Jamura: A Conversational Smart Home Assistant Built on Telegram and Google Dialogflow.
Proceedings of the TENCON 2019, 2019

TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes.
Proceedings of the Natural Language Processing and Information Systems, 2019

Evaluating the quality of word representation models for unstructured clinical Text based ICU mortality prediction.
Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

Deep Neural Network Models for Question Classification in Community Question-Answering Forums.
Proceedings of the 10th International Conference on Computing, 2019

Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

An Approach for Multimodal Medical Image Retrieval using Latent Dirichlet Allocation.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

ARS_NITK at MEDIQA 2019: Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and Medical Question Answering System.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018
Dynamic video anomaly detection and localization using sparse denoising autoencoders.
Multim. Tools Appl., 2018

Medical Image Retrieval Using Manifold Ranking with Relevance Feedback.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Concise semantic analysis based text categorization using modified hybrid union feature selection approach.
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018

A Supervised Learning Approach for ICU Mortality Prediction Based on Unstructured Electrocardiogram Text Reports.
Proceedings of the Natural Language Processing and Information Systems, 2018

A Hybrid Feature Modeling Approach for Content-Based Medical Image Retrieval.
Proceedings of the 13th IEEE International Conference on Industrial and Information Systems, 2018

2017
A Morphological Approach for Measuring Pair-Wise Semantic Similarity of Sanskrit Sentences.
Proceedings of the Natural Language Processing and Information Systems, 2017

Novel hybrid feature selection models for unsupervised document categorization.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Constructing an enriched domain taxonomy for hindi using word embeddings.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

Frame Instance Extraction and Clustering for Default Knowledge Building.
Proceedings of the 1st International Workshop on Application of Semantic Web technologies in Robotics co-located with 14th Extended Semantic Web Conference (ESWC 2017), 2017

Temporal Topic Modeling of Scholarly Publications for Future Trend Forecasting.
Proceedings of the Big Data Analytics - 5th International Conference, 2017

2016
Semantic Similarity Based Context-Aware Web Service Discovery Using NLP Techniques.
J. Web Eng., 2016

Semantics-based Web service classification using morphological analysis and ensemble learning techniques.
Int. J. Data Sci. Anal., 2016

Saliency Prediction for Visual Regions of Interest with Applications in Advertising.
Proceedings of the Video Analytics. Face and Facial Expression Recognition and Audience Measurement, 2016

Query-oriented Unsupervised Multi-document Summarization on Big Data.
Proceedings of the 7th International Conference on Computing Communication and Networking Technologies, 2016

2015
A bio-inspired, incremental clustering algorithm for semantics-based web service discovery.
Int. J. Reason. based Intell. Syst., 2015

2014
Change propagation based incremental data handling in a Web service discovery framework.
Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014

Similarity analysis of service descriptions for efficient Web service discovery.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013
Bug Classification: Feature Extraction and Comparison of Event Model using Naïve Bayes Approach
CoRR, 2013

Research on Potential Semantic Web Service Discovery Mechanisms
CoRR, 2013

W3-Scrape - A Windows based Reconnaissance Tool for Web Application Fingerprinting.
CoRR, 2013

A bottom-up approach towards achieving semantic web services.
Proceedings of the International Conference on Advances in Computing, 2013


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