Indika Kahanda

43 papers A 3B 3C 8Misc 2Journal 11Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Exploring the Feasibility of Identifying Nutrition Misinformation on Social Media. CHASE Prajwol Lamichhane, Indika Kahanda, Andrea Arikawa, Charlotte Martin, Maribel Garcia, Camila Figueiredo, Haivan Benjamin
2025	C	`conf`	Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning. ICMLA Tejaswi Vemuri, Trung Dinh, Zonglin Yang, Thiruvarangan Ramaraj, Joann Mudge, Brendan Mumey, Indika Kahanda
2025	C	`conf`	Improving Robustness of Large Language Models Used in Healthcare Through Prompt Engineering. ICMLA Jonathan O'Berry, Indika Kahanda, Upulee Kanewala
2024	A	`conf`	MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications. ICST Guna Sekaran Jaganathan, Nazmul Kazi, Indika Kahanda, Upulee Kanewala
2024	A	`conf`	Poster: Towards Understanding Root Causes of Real Failures in Healthcare Machine Learning Applications. ICST Guna Sekaran Jaganathan, Nazmul Kazi, Indika Kahanda, Upulee Kanewala
2023	—	`conf`	Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. BCB Conrad T. Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer
2023	C	`conf`	Enhancing Health Information Retrieval with Large Language Models: A Study on MedQuAD Dataset. ICMLA Prajwol Lamichhane, Indika Kahanda
2023	C	`conf`	Enhancing Transfer Learning of LLMs through Fine- Tuning on Task - Related Corpora for Automated Short-Answer Grading. ICMLA Nazmul Kazi, Indika Kahanda
2023	—	`conf`	Genotype-to-Phenotype Associations with Frequented Region Variants. BIBM Indika Kahanda, Buwani Manuweera, Brendan Mumey, Thiruvarangan Ramaraj, Alan M. Cleary, Joann Mudge
2023	C	`conf`	Patronizing and Condescending Language Detection. ICMLA Conrad Testagrose, Athlene V. Jones, Indika Kahanda
2023	B	`conf`	Poster: BioFactCheck: Exploring the Feasibility of Explainable Automated Inconsistency Detection in Biomedical and Health Literature. CHASE Prajwol Lamichhane, Indika Kahanda, Xudong Liu, Karthikeyan Umapathy, Sandeep Reddivari, Catherine Christie, Andrea Arikawa, Jenifer Ross
2023	C	`conf`	UNF-IDT: Automated Irony Detection in English Tweets. ICMLA Guna Sekaran Jaganathan, Grentina Kilungeja, Indika Kahanda
2023	C	`conf`	Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts. ICMLA Nazmul Kazi, Indika Kahanda, S. Indu Rupassara, John W. Kindt
2022	—	`conf`	Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT. BIBM Conrad Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer
2022	J	`jnl`	miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification. Biosyst. Sandali Lokuge, Shyaman Jayasundara, Puwasuru Ihalagedara, Indika Kahanda, Damayanthi Herath
2021	—	`conf`	Automatically Cataloging Scholarly Articles using Library of Congress Subject Headings. EACL (Student Research Workshop) Nazmul Kazi, Nathaniel Lane, Indika Kahanda
2021	B	`conf`	BioSGAN: Protein-Phenotype Co-mention Classification Using Semi-Supervised Generative Adversarial Networks. CBMS Francis Anokye, Indika Kahanda
2021	J	`jnl`	Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes. BMC Bioinform. Morteza Pourreza Shahri, Indika Kahanda
2021	—	`conf`	DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification. BIBM Morteza Pourreza Shahri, Katrina Lyon, Julia Schearer, Indika Kahanda
2021	Misc	`conf`	Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks. FLAIRS Lucas Welch, Xudong Liu, Indika Kahanda, Sandeep Reddivari, Karthikeyan Umapathy
2020	Misc	`conf`	DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides. PACBB Nathaniel Lane, Indika Kahanda
2020	—	`conf`	MRpredT: Using Text Mining for Metamorphic Relation Prediction. ICSE (Workshops) Karishma Rahman, Indika Kahanda, Upulee Kanewala
2020	—	`conf`	ProPheno 1.0: An Online Dataset for Accelerating the Complete Characterization of the Human Protein-Phenotype Landscape in Biomedical Literature. ICSC Morteza Pourreza Shahri, Indika Kahanda
2020	—	`conf`	RDoCer: Information Retrieval and Sentence Extraction for Mental Health using Research Domain Criteria. ICSC Daniel Laden, Shyaman Jayasundara, Indika Kahanda
2020	C	`conf`	miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact. CIBCB Puwasuru Ihalagedara, Sandali Lokuge, Shyaman Jayasundara, Damayanthi Herath, Indika Kahanda
2019	J	`jnl`	Automatically generating psychiatric case notes from digital transcripts of doctor-patient conversations using text mining. PeerJ Prepr. Nazmul Kazi, Indika Kahanda
2019	J	`jnl`	Computational methods for the ab initio identification of novel microRNA in plants: a systematic review. PeerJ Comput. Sci. Buwani Manuweera, Gillian Reynolds, Indika Kahanda
2019	J	`jnl`	Exploring Frequented Regions in Pan-Genomic Graphs. IEEE ACM Trans. Comput. Biol. Bioinform. Alan M. Cleary, Thiruvarangan Ramaraj, Indika Kahanda, Joann Mudge, Brendan Mumey
2019	—	`conf`	Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools. AITest Morteza Pourreza Shahri, Madhusudan Srinivasan, Gillian Reynolds, Diane Bimczok, Indika Kahanda, Upulee Kanewala
2019	J	`jnl`	Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools. CoRR Morteza Pourreza Shahri, Madhusudan Srinivasan, Gillian Reynolds, Diane Bimczok, Indika Kahanda, Upulee Kanewala
2019	—	`conf`	PPPred: Classifying Protein-phenotype Co-mentions Extracted from Biomedical Literature. BCB Morteza Pourreza Shahri, Gillian Reynolds, Mandi Marie Roe, Indika Kahanda
2019	—	`conf`	Pangenome-Wide Association Studies with Frequented Regions. BCB Buwani Manuweera, Joann Mudge, Indika Kahanda, Brendan Mumey, Thiruvarangan Ramaraj, Alan M. Cleary
2019	—	`conf`	Poster: Pangenome-Wide Association Studies with Frequented Regions. BCB Buwani Manuweera, Joann Mudge, Indika Kahanda, Brendan Mumey, Thiruvarangan Ramaraj, Alan M. Cleary
2019	J	`jnl`	ProPheno: An online dataset for completely characterizing the human protein-phenotype landscape in biomedical literature. PeerJ Prepr. Morteza Pourreza Shahri, Indika Kahanda
2019	—	`conf`	RDoC Task at BioNLP-OST 2019. BioNLP-OST@EMNLP-IJNCLP Mohammad Anani, Nazmul Kazi, Matthew Kuntz, Indika Kahanda
2018	J	`jnl`	A look back at the quality of Protein Function Prediction tools in CAFA. PeerJ Prepr. Morteza Pourreza Shahri, Madhusudan Srinivasan, Diane Bimczok, Upulee Kanewala, Indika Kahanda
2018	J	`jnl`	Overview of the BioCreative VI text-mining services for Kinome Curation Track. Database J. Biol. Databases Curation Julien Gobeill, Pascale Gaudet, Daniel Dopp, Adam Morrone, Indika Kahanda, Yi-Yu Hsu, Chih-Hsuan Wei, Zhiyong Lu, Patrick Ruch
2018	—	`conf`	Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing. MET@ICSE Madhusudan Srinivasan, Morteza Pourreza Shahri, Indika Kahanda, Upulee Kanewala
2018	J	`jnl`	Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing. CoRR Madhusudan Srinivasan, Morteza Pourreza Shahri, Upulee Kanewala, Indika Kahanda
2017	—	`conf`	Exploring Frequented Regions in Pan-Genomic Graphs. BCB Alan M. Cleary, Indika Kahanda, Brendan Mumey, Joann Mudge, Thiruvarangan Ramaraj
2017	—	`conf`	GOstruct 2.0: Automated Protein Function Prediction for Annotated Proteins. BCB Indika Kahanda, Asa Ben-Hur
2015	J	`jnl`	Evaluating a variety of text-mined features for automatic protein function prediction with GOstruct. J. Biomed. Semant. Christopher S. Funk, Indika Kahanda, Asa Ben-Hur, Karin M. Verspoor
2009	A	`conf`	Using Transactional Information to Predict Link Strength in Online Social Networks. ICWSM Indika Kahanda, Jennifer Neville