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Damith Asanka Senanayake
Damith Asanka Senanayake
Postdoctoral Research Fellow
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers
S Seneviratne, D Senanayake, S Rasnayaka, R Vidanaarachchi, ...
2022 International Conference on Digital Image Computing: Techniques and …, 2022
312022
Conversion of upper-limb inertial measurement unit data to joint angles: a systematic review
Z Fang, S Woodford, D Senanayake, D Ackland
Sensors 23 (14), 6535, 2023
192023
Real-time conversion of inertial measurement unit data to ankle joint angles using deep neural networks
D Senanayake, S Halgamuge, DC Ackland
Journal of Biomechanics 125, 110552, 2021
182021
Self-organizing nebulous growths for robust and incremental data visualization
DA Senanayake, W Wang, SH Naik, S Halgamuge
IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4588-4602, 2020
182020
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
M Perera, J De Hoog, K Bandara, D Senanayake, S Halgamuge
Applied Energy 361, 122971, 2024
102024
Napa-vq: Neighborhood-aware prototype augmentation with vector quantization for continual learning
T Malepathirana, D Senanayake, S Halgamuge
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
102023
Dimensionality reduction for visualizing high-dimensional biological data
T Malepathirana, D Senanayake, R Vidanaarachchi, V Gautam, ...
Biosystems 220, 104749, 2022
82022
Customer Churn Prediction: A Cognitive Approach
D Senanayake, L Muthugama, L Mendis, T Madushanka
International Journal of Computer and Information Engineering 9 (3), 767-773, 2015
62015
Robustness of visualization methods in preserving the continuous and discrete latent structures of high-dimensional single-cell data
T Malepathirana, DA Senanayake, V Gautam, SK Halgamuge
2021 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2021
32021
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
32019
Classification of fracture risk in fallers using dual‐energy x‐ray absorptiometry (DXA) images and deep learning‐based feature extraction
D Senanayake, S Seneviratne, M Imani, C Harijanto, M Sales, P Lee, ...
Journal of Bone and Mineral Research Plus 7 (12), e10828, 2023
22023
Solar PV Maps for Estimation and Forecasting of Distributed Solar Generation
J de Hoog, M Perera, K Bandara, D Senanayake, S Halgamuge
ICML 2021 Workshop on Tackling Climate Change with Machine Learning, 2021
22021
Annotation-efficient deep learning for breast cancer whole-slide image classification using tumour infiltrating lymphocytes and slide-level labels
R Perera, P Savas, D Senanayake, R Salgado, H Joensuu, S O’Toole, ...
Communications Engineering 3 (1), 104, 2024
12024
Visualization of incrementally learned projection trajectories for longitudinal data
T Malepathirana, D Senanayake, V Gautam, M Engel, R Balez, ...
Scientific Reports 14 (1), 13558, 2024
12024
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
H Wu, W Wang, T Malepathirana, D Senanayake, D Oetomo, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5994-6002, 2024
12024
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations
N Ranasinghe, D Senanayake, S Seneviratne, M Premaratne, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14776 …, 2024
12024
Insights into Artificial Intelligence Bias: Implications for Agriculture
M Mayuravaani, A Ramanan, M Perera, DA Senanayake, ...
Digital Society 3 (3), 48, 2024
2024
Annotation-efficient deep learning for breast cancer whole-slide image classification using Tumor Infiltrating Lymphocytes and slide-level labels
S Halgamuge, R Perera, P Savas, D Senanayake, R Salgado, H Joensuu, ...
2023
Drug response pattern analysis framework for high resolution and incremental Multi-Electrode Array data
Tamasha Malepathirana, Damith A. Senanayake, Saman Halgamuge, Lezanne Ooi ...
RECOMB 2020, 2020
2020
Analysing Multi-Electrode Array (MEA) data derived from Alzheimer Disease organoids
SH Tamasha Malepathirana, Damith Senanayake, Yadeesha Deerasooriya, Lezanne Ooi
41st Lorne Genome Conference, 2020
2020
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