Efficient parameter tuning of neural foundation models for drug perspective prediction from unstructured socio-medical data, Engineering Applications of Artificial Intelligence, Volume 123, Part A, 106214 [SCI, IF: 8.6]

An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images, Applied Intelligence, Springer. [SCI, IF: 5.3]

Multi-Scale Convolutional Neural Network for Accurate Corneal Segmentation in Early Detection of Fungal Keratitis, Journal of Fungi, 7:850, MDPI [SCI, IF: 5.724]

MSDNet: a deep neural ensemble model for abnormality detection and classifcation of plain radiographs, Journal of Ambient Intelligence and Humanized Computing [SCI, IF: 3.662]

Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries, Future Generation Computer Systems, Elsevier  [SCI, IF: 7.5] 

Predicting ICD-9 code groups with fuzzy similarity based supervised multi-label classification of unstructured clinical nursing notes, Knowledge-Based Systems, Elsevier [SCI, IF: 8.8]

FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes. IEEE Transactions on Emerging Topics in Computing (TETC), IEEE [SCI, IF: 5.9] 

A Novel GA-ELM Model for Patient-specific Mortality Prediction over Large-scale Lab Event Data, Applied Soft Computing, Elsevier [SCI, IF: 8.7]

Discovering Composable Web Services based on Functional Semantics and Service Dependencies using Natural Language Requests, Journal on Information System Frontiers, Springer [SCI, IF: 5.9]

A Deep Neural Network Model for Content-Based Medical Image Retrieval with Multi-View Classification, The Visual Computer - International Journal of Computer Graphics, Springer [SCIE, IF: 3.5]

Dynamic video anomaly detection and localization using sparse denoising autoencoders. Springer Multimedia Tools and Applications, Vol 77 [SCI, IF: 3.6]

ReMAG-KR: Retrieval and Medically Assisted Generation with Knowledge Reduction for Medical Question Answering. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024. (CORE A* ranked)

A Multimodal Approach Integrating Convolutional and Recurrent Neural Networks for Alzheimer's Disease Temporal Progression Prediction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. (CORE A* ranked)

Neural Language Modeling of Unstructured Clinical Notes for Automated Patient Phenotyping. Proceedings of the 56th Annual Conference on Information Sciences and Systems (CISS), Princeton University, USA IEEE (CORE A ranked)

Population-centric Profiling with Social Data for Large-scale Epidemiological studies. Proceedings of ACM IKDD CODS and 27th COMAD (CORE A ranked)

LATA - Label Attention Transformer Architectures for ICD-10 Coding of Unstructured Clinical Notes. IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (CORE B ranked)

Ensemble ALBERT and RoBERTa for Span Prediction in Question Answering, 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP) (CORE A* ranked)

Predicting Vaccine Hesitancy and Vaccine Sentiment using Topic Modeling and Evolutionary Optimization, 26th International Conference on Natural Language & Information Systems, Salsburg, Germany (CORE C ranked)

AuthNet: A biometric authentication mechanism based on temporal facial feature movements, AAAI Student Track, 35th Conference on Artificial Intelligence (AAAI 2021) (Mentor) (Core A* ranked)

Leveraging Multimodal Behavioral Analytics for Automated Job Interview Performance Assessment and Feedback, 58th Annual Meeting of the Association for Computational Linguistics (ACL) (Core A* Conference) 

Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes, 20th International Conference on Computational Science, Amsterdam (Core A ranked)

Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification, In the proceedings of SIGNLL Conference on Computational Natural Language Learning (CoNLL), 27th Intl. Conference on Empirical Methods in NLP, Hong Kong (Core A* Ranked)

ARS_NITK at MEDIQA 2019: Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and Medical Question Answering System, 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy (Core A* Ranked)