Indika Kahanda

Orcid: 0000-0002-4536-6917

According to our database1, Indika Kahanda authored at least 35 papers between 2009 and 2023.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Patronizing and Condescending Language Detection.
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

UNF-IDT: Automated Irony Detection in English Tweets.
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

Genotype-to-Phenotype Associations with Frequented Region Variants.
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
miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification.
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

Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks.
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

MRpredT: Using Text Mining for Metamorphic Relation Prediction.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020

2019
Exploring Frequented Regions in Pan-Genomic Graphs.
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

RDoC Task at BioNLP-OST 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

Pangenome-Wide Association Studies with Frequented Regions.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Poster: Pangenome-Wide Association Studies with Frequented Regions.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools.
Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2019

2018
A look back at the quality of Protein Function Prediction tools in CAFA.
PeerJ Prepr., 2018

Overview of the BioCreative VI text-mining services for Kinome Curation Track.
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
GOstruct 2.0: Automated Protein Function Prediction for Annotated Proteins.
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
Using Transactional Information to Predict Link Strength in Online Social Networks.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009


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