Indika Kahanda
Orcid: 0000-0002-4536-6917
According to our database1,
Indika Kahanda
authored at least 37 papers
between 2009 and 2024.
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Bibliography
2024
MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications.
Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2024
Poster: Towards Understanding Root Causes of Real Failures in Healthcare Machine Learning Applications.
Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2024
2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Enhancing Health Information Retrieval with Large Language Models: A Study on MedQuAD Dataset.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Enhancing Transfer Learning of LLMs through Fine- Tuning on Task - Related Corpora for Automated Short-Answer Grading.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Poster: BioFactCheck: Exploring the Feasibility of Explainable Automated Inconsistency Detection in Biomedical and Health Literature.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2022
Biosyst., 2022
Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes.
BMC Bioinform., 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
Automatically Cataloging Scholarly Articles using Library of Congress Subject Headings.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021
BioSGAN: Protein-Phenotype Co-mention Classification Using Semi-Supervised Generative Adversarial Networks.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
ProPheno 1.0: An Online Dataset for Accelerating the Complete Characterization of the Human Protein-Phenotype Landscape in Biomedical Literature.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020
RDoCer: Information Retrieval and Sentence Extraction for Mental Health using Research Domain Criteria.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020
DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides.
Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2020
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
ProPheno: An online dataset for completely characterizing the human protein-phenotype landscape in biomedical literature.
PeerJ Prepr., 2019
Automatically generating psychiatric case notes from digital transcripts of doctor-patient conversations using text mining.
PeerJ Prepr., 2019
Computational methods for the ab initio identification of novel microRNA in plants: a systematic review.
PeerJ Comput. Sci., 2019
Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019
PPPred: Classifying Protein-phenotype Co-mentions Extracted from Biomedical Literature.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2019
2018
PeerJ Prepr., 2018
Database J. Biol. Databases Curation, 2018
Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing.
Proceedings of the 3rd IEEE/ACM International Workshop on Metamorphic Testing, 2018
2017
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2015
Evaluating a variety of text-mined features for automatic protein function prediction with GOstruct.
J. Biomed. Semant., 2015
2009
Proceedings of the Third International Conference on Weblogs and Social Media, 2009