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Dr. Subha Fernando
Dr. Subha Fernando
University of Moratuwa and Nagaoka University of Technology
Verified email at uom.lk
Title
Cited by
Cited by
Year
Transformers in single object tracking: an experimental survey
J Kugarajeevan, T Kokul, A Ramanan, S Fernando
IEEE Access, 2023
382023
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
292022
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
212019
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
202020
Artificial intelligence for futuristic banking
M Thisarani, S Fernando
2021 IEEE International Conference on Engineering, Technology and Innovation …, 2021
192021
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
122020
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
122018
Context-aware multipath networks
D Tissera, K Kahatapitiya, R Wijesinghe, S Fernando, R Rodrigo
arXiv preprint arXiv:1907.11519, 2019
92019
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
82021
Phishing websites dataset
S Ariyadasa, S Fernando, S Fernando
University of Moratuwa, Uva Wellassa University 17 (11), 2021
72021
Transformers in Single Object Tracking: An Experimental Survey. arXiv 2023
J Thangavel, T Kokul, A Ramanan, S Fernando
arXiv preprint arXiv:2302.11867, 0
7
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
62012
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
5*2022
Optimizing robotic swarm based construction tasks
T Liyanage, S Fernando
2021 7th International Conference on Control, Automation and Robotics (ICCAR …, 2021
52021
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
52021
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
52018
On computing the behavior of the mind from an Eastern Philosophical Perspective
AS Karunananda, PR Goldin, G Rzevski, S Fernando, HR Fernando
52015
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
52011
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
42022
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
42015
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