Indika Kahanda

发表

Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing

Madhusudan Srinivasan, Morteza Pourreza Shahri, Upulee Kanewala, 2018, 2018 IEEE/ACM 3rd International Workshop on Metamorphic Testing (MET).

Upulee Kanewala, Indika Kahanda, Miraj Mohajireen, 2011, 2011 6th International Conference on Industrial and Information Systems.

DeepPPPred: An Ensemble of BERT, CNN, and RNN for Classifying Co-mentions of Proteins and Phenotypes

Morteza Pourreza Shahri, Indika Kahanda, Katrina Lyon, 2020 .

A look back at the quality of Protein Function Prediction tools in CAFA

Madhusudan Srinivasan, Morteza Pourreza Shahri, Upulee Kanewala, 2018, PeerJ Prepr..

Data-Driven Improvement to Institutional Repository Discoverability and Use

Indika Kahanda, Kenning Arlitsch, Jonathan Wheeler, 2018 .

Automatically Generating Psychiatric Case Notes From Digital Transcripts of Doctor-Patient Conversations

Indika Kahanda, Nazmul Kazi, Indika Kahanda, 2019, PeerJ Prepr..

Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools

Madhusudan Srinivasan, Morteza Pourreza Shahri, Upulee Kanewala, 2019, 2019 IEEE International Conference On Artificial Intelligence Testing (AITest).

Data and software associated with PHENOstruct: Prediction of human phenotype ontology terms using heterogeneous data sources

Karin M. Verspoor, Karin Verspoor, Indika Kahanda, 2015 .

PPPred: Classifying Protein-phenotype Co-mentions Extracted from Biomedical Literature

Morteza Pourreza Shahri, Indika Kahanda, Gillian Reynolds, 2019, BCB.

Using Transactional Information to Predict Link Strength in Online Social Networks

Jennifer Neville, Indika Kahanda, Jennifer Neville, 2009, ICWSM.

Exploring Frequented Regions in Pan-Genomic Graphs

Alan Cleary, Brendan Mumey, Indika Kahanda, 2017, BCB.

Evaluating a variety of text-mined features for automatic protein function prediction with GOstruct

Karin M. Verspoor, Indika Kahanda, Asa Ben-Hur, 2015, J. Biomed. Semant..

Poster: Pangenome-Wide Association Studies with Frequented Regions

Alan Cleary, Brendan Mumey, Indika Kahanda, 2019, BCB.

A close look at protein function prediction evaluation protocols

Karin M. Verspoor, Karin Verspoor, Indika Kahanda, 2015, GigaScience.

RDoC Task at BioNLP-OST 2019

Indika Kahanda, Nazmul Kazi, Mohammad Anani, 2019, EMNLP.

BRret: Retrieval of Brain Research Related Literature.

Indika Kahanda, Mohammad Anani, Matt Kuntz, 2020, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Exploring the feasibility of automatically generating case notes for psychiatrists using machine learning

Indika Kahanda, Nazmul Kazi, 2019 .

PPPred: Classifying Protein-phenotype Co-mentions Extracted from Biomedical Literature

Morteza Pourreza Shahri, Indika Kahanda, Gillian Reynolds, 2019, bioRxiv.

Large-scale Automated Protein Function Prediction

Indika Kahanda, 2016 .

GOstruct 2.0: Automated Protein Function Prediction for Annotated Proteins

Indika Kahanda, Asa Ben-Hur, A. Ben-Hur, 2017, BCB.

Pangenome-Wide Association Studies with Frequented Regions

Alan Cleary, Brendan Mumey, Indika Kahanda, 2019, BCB.

DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides

Indika Kahanda, Nathaniel Lane, Indika Kahanda, 2020, PACBB.

Overview of the BioCreative VI text-mining services for Kinome Curation Track

Zhiyong Lu, Patrick Ruch, Julien Gobeill, 2018, Database J. Biol. Databases Curation.

ProPheno: An online dataset for completely characterizing the human protein-phenotype landscape in biomedical literature

Morteza Pourreza Shahri, Indika Kahanda, 2019, PeerJ Prepr..

BioSGAN: Protein-Phenotype Co-mention Classification Using Semi-Supervised Generative Adversarial Networks

Indika Kahanda, Francis Anokye, 2021, 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS).

Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks

Karthikeyan Umapathy, Indika Kahanda, Sandeep Reddivari, 2021, FLAIRS Conference.

DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification

Morteza Pourreza Shahri, Indika Kahanda, Katrina Lyon, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes

Morteza Pourreza Shahri, Indika Kahanda, Indika Kahanda, 2021, BMC Bioinformatics.

Automatically Cataloging Scholarly Articles using Library of Congress Subject Headings

Indika Kahanda, Nazmul Kazi, Nathaniel Lane, 2021, EACL.

PHENOstruct: Prediction of human phenotype ontology terms using heterogeneous data sources

Karin M. Verspoor, Karin Verspoor, Indika Kahanda, 2015, F1000Research.

ProPheno 1.0: An Online Dataset for Accelerating the Complete Characterization of the Human Protein-Phenotype Landscape in Biomedical Literature

Morteza Pourreza Shahri, Indika Kahanda, Indika Kahanda, 2019, 2020 IEEE 14th International Conference on Semantic Computing (ICSC).

KinDER : A Biocuration Tool for Extracting Kinase Knowledge from Biomedical Literature

Indika Kahanda, Daniel Dopp, Adam Morrone, 2017 .

Automatically Generating Psychiatric Case Notes From Digital Transcripts of Doctor-Patient Conversations

Indika Kahanda, Nazmul Kazi, 2019, Proceedings of the 2nd Clinical Natural Language Processing Workshop.

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Jari Björne, Tapio Salakoski, Giorgio Valentini, 2019, Genome Biology.