All Stories

  1. Breast density semantic segmentation and quantitative evaluation using deep learning.

    Article • September 2023, ACM (Association for Computing Machinery)

    Indika Kahanda, Conrad Testagrose, Richard White, Vikash Gupta

  2. Poster: BioFactCheck: Exploring the Feasibility of Explainable Automated Inconsistency Detection in Biomedical and Health Literature

    Article • June 2023, ACM (Association for Computing Machinery)

    Sandeep Reddivari, Indika Kahanda

  3. miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification

    Article • Biosystems, June 2022, Elsevier

    Indika Kahanda

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

    Article • BMC Bioinformatics, October 2021, Springer Science + Business Media

    Indika Kahanda

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

    Article • June 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Indika Kahanda

  6. Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks

    Article • The International FLAIRS Conference Proceedings, April 2021, University of Florida George A Smathers Libraries

    Indika Kahanda

  7. Automatically Cataloging Scholarly Articles using Library of Congress Subject Headings

    Article • January 2021, Association for Computational Linguistics (ACL)

    Indika Kahanda

  8. miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact

    Article • October 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Indika Kahanda

  9. MRpredT

    Article • June 2020, ACM (Association for Computing Machinery)

    Indika Kahanda

  10. RDoCer: Information Retrieval and Sentence Extraction for Mental Health using Research Domain Criteria

    Article • February 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Indika Kahanda

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

    Article • February 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Indika Kahanda

  12. Computational methods for the ab initio identification of novel microRNA in plants: a systematic review

    Article • PeerJ Computer Science, November 2019, PeerJ

    Indika Kahanda

  13. PPPred

    Article • September 2019, ACM (Association for Computing Machinery)

    Indika Kahanda

  14. Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools

    Article • April 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Indika Kahanda

  15. RDoC Task at BioNLP-OST 2019

    Article • January 2019, Association for Computational Linguistics (ACL)

    Indika Kahanda

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

    Article • January 2019, Association for Computational Linguistics (ACL)

    Indika Kahanda

  17. GOstruct 2.0

    Article • August 2017, ACM (Association for Computing Machinery)

    Indika Kahanda

  18. A close look at protein function prediction evaluation protocols

    Article • GigaScience, September 2015, Springer Science + Business Media

    Karin M Verspoor, Indika Kahanda

  19. Phenotype prediction incorporating literature mining

    Article • F1000Research, July 2015, Faculty of 1000, Ltd.

    Karin M Verspoor, Asa Ben-Hur, Indika Kahanda, Indika Kahanda

  20. Relational similarity model for suggesting friends in online social networks

    Article • August 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Indika Kahanda

  21. Using Transactional Information to Predict Link Strength in Online Social Networks

    Article • Proceedings of the International AAAI Conference on Web and Social Media, March 2009, Association for the Advancement of Artificial Intelligence (AAAI)

    Indika Kahanda

  22. Board 11: Predicting At-Risk Students in a Circuit Analysis Course Using Supervised Machine Learning

    Article • American Society for Engineering Education

    Indika Kahanda