Daswin De Silva
Daswin De Silva
Centre for Data Analytics and Cognition, La Trobe University
Verified email at
Cited by
Cited by
Spatiotemporal Anomaly Detection using Deep Learning for Real-time Video Surveillance
R Nawaratne, D Alahakoon, D De Silva, X Yu
IEEE Transactions on Industrial Informatics, 2019
Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management
D Nallaperuma, R Nawaratne, T Bandaragoda, A Adikari, S Nguyen, ...
IEEE Transactions on Intelligent Transportation Systems, 2019
A data mining framework for electricity consumption analysis from meter data
D De Silva, X Yu, D Alahakoon, G Holmes
IEEE Transactions on Industrial Informatics 7 (3), 399-407, 2011
Cancer in lockdown: impact of the COVID‐19 pandemic on patients with cancer
H Moraliyage, D De Silva, W Ranasinghe, A Adikari, D Alahakoon, ...
The oncologist 26 (2), e342-e344, 2021
Machine learning to support social media empowered patients in cancer care and cancer treatment decisions
D De Silva, W Ranasinghe, T Bandaragoda, A Adikari, N Mills, ...
PloS one 13 (10), e0205855, 2018
Big data concepts, theories, and applications
S Yu, S Guo
Springer, 2016
A data integration platform for patient-centered e-healthcare and clinical decision support
M Jayaratne, D Nallaperuma, D De Silva, D Alahakoon, B Devitt, ...
Future Generation Computer Systems 92, 996-1008, 2019
Self-evolving intelligent algorithms for facilitating data interoperability in IoT environments
R Nawaratne, D Alahakoon, D De Silva, P Chhetri, N Chilamkurti
Future Generation Computer Systems, 2018
Finding the Intersection of Neuroplasticity, Stroke Recovery, and Learning: Scope and Contributions to Stroke Rehabilitation
L Carey, A Walsh, A Adikari, P Goodin, D Alahakoon, D De Silva, KL Ong, ...
Neural Plasticity 2019, 2019
Toward Intelligent Industrial Informatics: A Review of Current Developments and Future Directions of Artificial Intelligence in Industrial Applications
D De Silva, S Sierla, D Alahakoon, E Osipov, X Yu, V Vyatkin
IEEE Industrial Electronics Magazine 14 (2), 57-72, 2020
Value co-creation for open innovation: An evidence-based study of the data driven paradigm of social media using machine learning.
A Adikari, D Burnett, D Sedera, D de Silva, D Alahakoon
International Journal of Information Management Data Insights 1 (2), 100022, 2021
Incremental knowledge acquisition and self learning from text
D De Silva, D Alahakoon
Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-8, 2010
Incremental pattern characterization learning and forecasting for electricity consumption using smart meters
D De Silva, X Yu, D Alahakoon, G Holmes
Industrial Electronics (ISIE), 2011 IEEE International Symposium on, 807-812, 2011
An Artificial Intelligence framework for bidding optimization with uncertainty in multiple frequency reserve markets
T Kempitiya, S Sierla, D De Silva, M Yli-Ojanperä, D Alahakoon, V Vyatkin
Applied Energy 280, 115918, 2020
Self-building artificial intelligence and machine learning to empower big data analytics in smart cities
D Alahakoon, R Nawaratne, Y Xu, D De Silva, U Sivarajah, B Gupta
Information Systems Frontiers, 1-20, 2020
Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence
A Adikari, R Nawaratne, D De Silva, S Ranasinghe, O Alahakoon, ...
Journal of Medical Internet Research 23 (4), e27341, 2021
Trajectory clustering of road traffic in urban environments using incremental machine learning in combination with hyperdimensional computing
T Bandaragoda, D De Silva, D Kleyko, E Osipov, U Wiklund, D Alahakoon
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1664-1670, 2019
Trends in penile cancer: a comparative study between Australia, England and Wales, and the US
J Sewell, W Ranasinghe, D De Silva, B Ayres, T Ranasinghe, ...
SpringerPlus 4 (1), 420, 2015
A self structuring artificial intelligence framework for deep emotions modelling and analysis on the social web
A Adikari, G Gamage, D de Silva, N Mills, SMJ Wong, D Alahakoon
Future Generation Computer Systems, 2020
Semi-supervised classification of characterized patterns for demand forecasting using smart electricity meters
D De Silva, X Yu, D Alahakoon, G Holmes
Electrical Machines and Systems (ICEMS), 2011 International Conference on, 1-6, 2011
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