Dr. Subha Fernando
Dr. Subha Fernando
University of Moratuwa and Nagaoka University of Technology
Verified email at
Cited by
Cited by
Combining long-term recurrent convolutional and graph convolutional networks to detect phishing sites using URL and HTML
S Ariyadasa, S Fernando, S Fernando
IEEE Access 10, 82355-82375, 2022
Transformers in single object tracking: An experimental survey
J Kugarajeevan, T Kokul, A Ramanan, S Fernando
IEEE Access, 2023
Detecting phishing attacks using a combined model of LSTM and CNN
SF Subhash Ariyadasa, Subha Fernando
International Journal of Advanced and Applied Science 7 (7), 56-67, 2020
Wavelet based edge feature enhancement for convolutional neural networks
DDN De Silva, S Fernando, ITS Piyatilake, AVS Karunarathne
Eleventh International Conference on Machine Vision (ICMV 2018) 11041, 751-760, 2019
Multi-path learnable wavelet neural network for image classification
DDN De Silva, H Vithanage, KSD Fernando, ITS Piyatilake
Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 459-467, 2020
Recursive Hierarchical Clustering Algorithm
SDF Pavani Y. De Silva, Chiran N. Fernando, Damith D. Wijethunge
International Journal of Machine Learning and Computing 8 (Number 1), 1-7, 2018
Artificial intelligence for futuristic banking
M Thisarani, S Fernando
2021 IEEE International Conference on Engineering, Technology and Innovation …, 2021
Context-aware multipath networks
D Tissera, K Kahatapitiya, R Wijesinghe, S Fernando, R Rodrigo
arXiv preprint arXiv:1907.11519, 2019
Neural machine translation approach for Singlish to English translation
D Sandaruwan, S Fernando, S Sumathipala
The International Journal on Advances in ICT for Emerging Regions 14 (03), 36-42, 2021
Phishing websites dataset
S Ariyadasa, S Fernando, S Fernando
Mendeley Data 1, 2021
Spike‐Timing‐Dependent Plasticity and Short‐Term Plasticity Jointly Control the Excitation of Hebbian Plasticity without Weight Constraints in Neural Networks
S Fernando, K Yamada
Computational Intelligence and Neuroscience 2012 (1), 968272, 2012
Transformers in Single Object Tracking: An Experimental Survey. arXiv 2023
J Thangavel, T Kokul, A Ramanan, S Fernando
arXiv preprint arXiv:2302.11867, 0
Feature-dependent cross-connections in multi-path neural networks
D Tissera, K Vithanage, R Wijesinghe, K Kahatapitiya, S Fernando, ...
2020 25th International Conference on Pattern Recognition (ICPR), 4032-4039, 2021
Personalized travel spot recommendation based on unsupervised learning approach
C Shiranthika, N Premakumara, S Fernando, S Sumathipala
2018 18th International Conference on Advances in ICT for Emerging Regions …, 2018
Observed stent's anti-Hebbian postulate on dynamic stochastic computational synapses
S Fernando, K Yamada, A Marasinghe
The 2011 International Joint Conference on Neural Networks, 1336-1343, 2011
Optimizing robotic swarm based construction tasks
T Liyanage, S Fernando
2021 7th International Conference on Control, Automation and Robotics (ICCAR …, 2021
Modeling a honeybee using spiking neural network to simulate nectar reporting behavior
S Fernando, N Kumarasinghe
International Journal of Computer Applications 130 (8), 32-39, 2015
On computing the behavior of the mind from an Eastern philosophical perspective
AS Karunananda, PR Goldin, G Rzevski, S Fernando, HR Fernando
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications
SH N. Ranasinghe, A. Ramanan, S. Fernando, P.N. Hameed, D. Herath, T ...
Journal of the National Science Foundation of Sri Lanka 50, 263–276, 2022
Neural mixture models with expectation-maximization for end-to-end deep clustering
D Tissera, K Vithanage, R Wijesinghe, A Xavier, S Jayasena, S Fernando, ...
Neurocomputing 505, 249-262, 2022
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