| Chronic Kidney Disease Prediction Using Machine Learning Methods IU Ekanayake, D Herath 2020 Moratuwa Engineering Research Conference (MERCon), 260-265, 2020 | 78 | 2020 |
| Semantic segmentation using Vision Transformers: A survey H Thisanke, C Deshan, K Chamith, S Seneviratne, R Vidanaarachchi, ... Engineering Applications of Artificial Intelligence 126, 106669, 2023 | 77 | 2023 |
| DeepSelectNet: deep neural network based selective sequencing for oxford nanopore sequencing A Senanayake, H Gamaarachchi, D Herath, R Ragel BMC bioinformatics 24 (1), 31, 2023 | 27 | 2023 |
| Accelerating string matching for bio-computing applications on multi-core CPUs D Herath, C Lakmali, R Ragel 2012 IEEE 7th International Conference on Industrial and Information Systems …, 2012 | 27 | 2012 |
| CoMet: a workflow using contig coverage and composition for binning a metagenomic sample with high precision D Herath, SL Tang, K Tandon, D Ackland, SK Halgamuge BMC bioinformatics 18, 161-172, 2017 | 26 | 2017 |
| Assessing species diversity using metavirome data: methods and challenges D Herath, D Jayasundara, D Ackland, I Saeed, SL Tang, S Halgamuge Computational and structural biotechnology journal 15, 447-455, 2017 | 15 | 2017 |
| Detection of Novel Biomarker Genes of Alzheimer’s Disease Using Gene Expression Data S Perera, K Hewage, C Gunarathne, R Navarathna, D Herath, RG Ragel 2020 Moratuwa Engineering Research Conference (MERCon), 1-6, 2020 | 11 | 2020 |
| Interpretable Student Performance Prediction Using Explainable Boosting Machine for Multi-Class Classification S Jayasundara, A Indika, D Herath 2022 2nd International Conference on Advanced Research in Computing (ICARC …, 2022 | 10 | 2022 |
| Transfer Learning for Accurate and Efficient Tomato Plant Disease Classification Using Leaf Images LAC Deshan, MKH Thisanke, D Herath 2021 IEEE 16th International Conference on Industrial and Information …, 2021 | 7 | 2021 |
| Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications N Ranasinghe, A Ramanan, S Fernando, PN Hameed, D Herath, ... arXiv preprint arXiv:2211.16699, 2022 | 5 | 2022 |
| Machine learning for plant microRNA prediction: A systematic review S Jayasundara, S Lokuge, P Ihalagedara, D Herath arXiv preprint arXiv:2106.15159, 2021 | 4 | 2021 |
| miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification S Lokuge, S Jayasundara, P Ihalagedara, I Kahanda, D Herath Biosystems 215, 104662, 2022 | 3 | 2022 |
| Forecasting Electricity Power Generation of Pawan Danavi Wind Farm, Sri Lanka, Using Gene Expression Programming D Herath, J Jayasinghe, U Rathnayake Applied Computational Intelligence and Soft Computing 2022, 2022 | 3 | 2022 |
| ENVirT: inference of ecological characteristics of viruses from metagenomic data D Jayasundara, D Herath, D Senanayake, I Saeed, CY Yang, Y Sun, ... BMC bioinformatics 19, 1-12, 2019 | 3 | 2019 |
| Analyzing transportation mode interactions using agent-based models N Uthpala, N Hansika, S Dissanayaka, K Tennakoon, S Dharmarathne, ... SN Applied Sciences 5 (12), 357, 2023 | 2 | 2023 |
| Revealing MicroRNA Biomarkers for Alzheimer’s Disease Using Next Generation Sequencing Data I Dinuwanthi, H Thilakarathna, V Sripadi, D Herath, R Ragel 2021 10th International Conference on Information and Automation for …, 2021 | 1 | 2021 |
| miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact P Ihalagedara, S Lokuge, S Jayasundara, D Herath, I Kahanda 2020 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2020 | 1 | 2020 |
| Leveraging deep learning techniques for condition assessment of stormwater pipe network AN Yussuf, NP Weerasinghe, H Chen, L Hou, D Herath, M Rashid, ... Journal of Civil Structural Health Monitoring, 1-15, 2024 | | 2024 |
| Asia Pacific Advanced Network: 56th International Conference, APANConf 2023, Colombo, Sri Lanka, August 24–25, 2023, Revised Selected Papers D Herath, S Date, U Jayasinghe, V Narayanan, R Ragel, J Wang Springer Nature, 2024 | | 2024 |
| Downscaling Future Precipitation over Mi Oya River Basin using Artificial Neural Networks H Koswaththa, SK Ranasinghe, I Ekanayake, D Herath, N Neluwala ENGINEER 57 (02), 57-67, 2024 | | 2024 |
Sen-Lin TangBiodiversity Research Center, Academia SinicaVerified email at gate.sinica.edu.tw
