|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 20 (12), 4679-4690, 2019
|Efficient anomaly detection by isolation using nearest neighbour ensemble|
TR Bandaragoda, KM Ting, D Albrecht, FT Liu, JR Wells
2014 IEEE International Conference on Data Mining Workshop, 698-705, 2014
|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
|Isolation‐based anomaly detection using nearest‐neighbor ensembles|
TR Bandaragoda, KM Ting, D Albrecht, FT Liu, Y Zhu, JR Wells
Computational Intelligence, 2018
|Incremental knowledge acquisition and self-learning for autonomous video surveillance|
R Nawaratne, T Bandaragoda, A Adikari, D Alahakoon, D De Silva, X Yu
IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society†…, 2017
|Automatic event detection in microblogs using incremental machine learning|
TR Bandaragoda, D De Silva, D Alahakoon
Journal of the Association for Information Science and Technology 68 (10†…, 2017
|Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups|
W Ranasinghe, D de Silva, T Bandaragoda, A Adikari, D Alahakoon, ...
Urologic Oncology: Seminars and Original Investigations 36 (12), 529. e1-529. e9, 2018
|The Patient-Reported Information Multidimensional Exploration (PRIME) Framework for Investigating Emotions and Other Factors of Prostate Cancer Patients with Low Intermediate†…|
T Bandaragoda, W Ranasinghe, A Adikari, D de Silva, N Lawrentschuk, ...
Annals of Surgical Oncology, 1-9, 2018
|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
|Text mining for personalized knowledge extraction from online support groups|
TR Bandaragoda, D De Silva, D Alahakoon, W Ranasinghe, D Bolton
Journal of the Association for Information Science and Technology 69 (12†…, 2018
|A novel framework for automated, intelligent extraction and analysis of online support group discussions for cancer related outcomes|
W Ranasinghe, T Bandaragoda, D De Silva, D Alahakoon
BJU international 120, 59-61, 2017
|Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making|
T Bandaragoda, A Adikari, R Nawaratne, D Nallaperuma, AK Luhach, ...
Neural Computing and Applications, 1-15, 2020
|A new league, new coverage? Comparing tweets and media coverage from the first season of AFLW|
M Sherwood, M Lordanic, T Bandaragoda, E Sherry, D Alahakoon
Media International Australia 172 (1), 114-130, 2019
|Gated recurrent neural network approach for multilabel emotion detection in microblogs|
P Rathnayaka, S Abeysinghe, C Samarajeewa, I Manchanayake, ...
arXiv preprint arXiv:1907.07653, 2019
|Isolation based anomaly detection: A re-examination|
Monash University, 2015
|Can online support groups address psychological morbidity of cancer patients? An artificial intelligence based investigation of prostate cancer trajectories|
A Adikari, D de Silva, WKB Ranasinghe, T Bandaragoda, O Alahakoon, ...
PloS one 15 (3), e0229361, 2020
|Enhancing decision making capacity in tourism domain using social media analytics|
S Abeysinghe, I Manchanayake, C Samarajeewa, P Rathnayaka, ...
2018 18th International Conference on Advances in ICT for Emerging Regions†…, 2018
|ASO Author Reflections: Enabling Optimised Delivery of Patient-Centred Cancer Care Using Artificial Intelligence and Data Analytics|
W Ranasinghe, D de Silva, T Bandaragoda, A Adikari, N Lawrentschuk, ...
Annals of surgical oncology 25 (3), 980-981, 2018
|Mp11-15 The Prime Framework for Investigating Emotions And Other Patient Factors In Low-Intermediate Risk Prostate Cancer Patients Based On Online Cancer Support Group Discussions|
W Ranasinghe, D de Silva, T Bandaragoda, A Adikari, D Bolton, ...
The Journal of Urology 199 (4S), e133-e133, 2018
|Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning|
arXiv preprint arXiv:2009.09078, 2020