Indika Kahanda

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 36

Top Topics

Convolutional Neural Network

Protein Function Prediction

Biomedical Literature

Top Venues

Publications

Prajwol Lamichhane, Indika Kahanda, Xudong Liu, Karthikeyan Umapathy, Sandeep Reddivari, Catherine Christie, Andrea Arikawa, Jenifer Ross
Poster: BioFactCheck: Exploring the Feasibility of Explainable Automated Inconsistency Detection in Biomedical and Health Literature. CHASE (2023)
Nazmul Kazi, Indika Kahanda, S. Indu Rupassara, John W. Kindt
Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts. ICMLA (2023)
Nazmul Kazi, Indika Kahanda
Enhancing Transfer Learning of LLMs through Fine- Tuning on Task - Related Corpora for Automated Short-Answer Grading. ICMLA (2023)
Conrad Testagrose, Athlene V. Jones, Indika Kahanda
Patronizing and Condescending Language Detection. ICMLA (2023)
Guna Sekaran Jaganathan, Grentina Kilungeja, Indika Kahanda
UNF-IDT: Automated Irony Detection in English Tweets. ICMLA (2023)
Conrad T. Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer
Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. BCB (2023)
Indika Kahanda, Buwani Manuweera, Brendan Mumey, Thiruvarangan Ramaraj, Alan M. Cleary, Joann Mudge
Genotype-to-Phenotype Associations with Frequented Region Variants. BIBM (2023)
Prajwol Lamichhane, Indika Kahanda
Enhancing Health Information Retrieval with Large Language Models: A Study on MedQuAD Dataset. ICMLA (2023)
Conrad Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer
Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT. BIBM (2022)
Sandali Lokuge, Shyaman Jayasundara, Puwasuru Ihalagedara, Indika Kahanda, Damayanthi Herath
miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification. Biosyst. (2022)
Nazmul Kazi, Nathaniel Lane, Indika Kahanda
Automatically Cataloging Scholarly Articles using Library of Congress Subject Headings. EACL (Student Research Workshop) (2021)
Lucas Welch, Xudong Liu, Indika Kahanda, Sandeep Reddivari, Karthikeyan Umapathy
Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks. FLAIRS Conference (2021)
Morteza Pourreza Shahri, Katrina Lyon, Julia Schearer, Indika Kahanda
DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification. BIBM (2021)
Francis Anokye, Indika Kahanda
BioSGAN: Protein-Phenotype Co-mention Classification Using Semi-Supervised Generative Adversarial Networks. CBMS (2021)
Morteza Pourreza Shahri, Indika Kahanda
Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes. BMC Bioinform. 22 (1) (2021)
Nathaniel Lane, Indika Kahanda
DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides. PACBB (2020)
Daniel Laden, Shyaman Jayasundara, Indika Kahanda
RDoCer: Information Retrieval and Sentence Extraction for Mental Health using Research Domain Criteria. ICSC (2020)
Morteza Pourreza Shahri, Indika Kahanda
ProPheno 1.0: An Online Dataset for Accelerating the Complete Characterization of the Human Protein-Phenotype Landscape in Biomedical Literature. ICSC (2020)
Karishma Rahman, Indika Kahanda, Upulee Kanewala
MRpredT: Using Text Mining for Metamorphic Relation Prediction. ICSE (Workshops) (2020)
Puwasuru Ihalagedara, Sandali Lokuge, Shyaman Jayasundara, Damayanthi Herath, Indika Kahanda
miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact. CIBCB (2020)
Buwani Manuweera, Joann Mudge, Indika Kahanda, Brendan Mumey, Thiruvarangan Ramaraj, Alan Cleary
Pangenome-Wide Association Studies with Frequented Regions. BCB (2019)
Morteza Pourreza Shahri, Madhusudan Srinivasan, Gillian Reynolds, Diane Bimczok, Indika Kahanda, Upulee Kanewala
Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools. CoRR (2019)
Morteza Pourreza Shahri, Indika Kahanda
ProPheno: An online dataset for completely characterizing the human protein-phenotype landscape in biomedical literature. PeerJ Prepr. 7 (2019)
Alan Cleary, Thiruvarangan Ramaraj, Indika Kahanda, Joann Mudge, Brendan Mumey
Exploring Frequented Regions in Pan-Genomic Graphs. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Mohammad Anani, Nazmul Kazi, Matthew Kuntz, Indika Kahanda
RDoC Task at BioNLP-OST 2019. BioNLP-OST@EMNLP-IJNCLP (2019)
Buwani Manuweera, Joann Mudge, Indika Kahanda, Brendan Mumey, Thiruvarangan Ramaraj, Alan Cleary
Poster: Pangenome-Wide Association Studies with Frequented Regions. BCB (2019)
Morteza Pourreza Shahri, Madhusudan Srinivasan, Gillian Reynolds, Diane Bimczok, Indika Kahanda, Upulee Kanewala
Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools. AITest (2019)
Buwani Manuweera, Gillian Reynolds, Indika Kahanda
Computational methods for the ab initio identification of novel microRNA in plants: a systematic review. PeerJ Comput. Sci. 5 (2019)
Nazmul Kazi, Indika Kahanda
Automatically generating psychiatric case notes from digital transcripts of doctor-patient conversations using text mining. PeerJ Prepr. 7 (2019)
Morteza Pourreza Shahri, Gillian Reynolds, Mandi Marie Roe, Indika Kahanda
PPPred: Classifying Protein-phenotype Co-mentions Extracted from Biomedical Literature. BCB (2019)
Morteza Pourreza Shahri, Madhusudan Srinivasan, Diane Bimczok, Upulee Kanewala, Indika Kahanda
A look back at the quality of Protein Function Prediction tools in CAFA. PeerJ Prepr. 6 (2018)
Madhusudan Srinivasan, Morteza Pourreza Shahri, Upulee Kanewala, Indika Kahanda
Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing. CoRR (2018)
Julien Gobeill, Pascale Gaudet, Daniel Dopp, Adam Morrone, Indika Kahanda, Yi-Yu Hsu, Chih-Hsuan Wei, Zhiyong Lu, Patrick Ruch
Overview of the BioCreative VI text-mining services for Kinome Curation Track. Database J. Biol. Databases Curation 2018 (2018)
Madhusudan Srinivasan, Morteza Pourreza Shahri, Indika Kahanda, Upulee Kanewala
Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing. MET@ICSE (2018)
Indika Kahanda, Asa Ben-Hur
GOstruct 2.0: Automated Protein Function Prediction for Annotated Proteins. BCB (2017)
Alan Cleary, Indika Kahanda, Brendan Mumey, Joann Mudge, Thiruvarangan Ramaraj
Exploring Frequented Regions in Pan-Genomic Graphs. BCB (2017)
Christopher S. Funk, Indika Kahanda, Asa Ben-Hur, Karin M. Verspoor
Evaluating a variety of text-mined features for automatic protein function prediction with GOstruct. J. Biomed. Semant. 6 (2015)
Indika Kahanda, Jennifer Neville
Using Transactional Information to Predict Link Strength in Online Social Networks. ICWSM (2009)