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Tharindu Bandaragoda
Tharindu Bandaragoda
Research Centre for Data Analytics & Cognition, La Trobe University
Verified email at latrobe.edu.au
Title
Cited by
Cited by
Year
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
2932019
Isolation‐based anomaly detection using nearest‐neighbor ensembles
TR Bandaragoda, KM Ting, D Albrecht, FT Liu, Y Zhu, JR Wells
Computational Intelligence, 2018
1602018
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
1022014
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
962018
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 32, 16057-16071, 2020
382020
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
362017
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
352019
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
312020
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
272019
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
262019
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
262018
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
232018
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
212017
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
192018
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, 2017
152017
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
142018
Isolation based anomaly detection: A re-examination
TR Bandaragoda
Monash University, 2015
72015
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, 980-981, 2018
22018
THE PRIME FRAMEWORK FOR INVESTIGATING EMOTIONS AND OTHER PATIENT FACTORS IN LOW-INTERMEDIATE RISK PROSTATE CANCER PATIENTS BASED ON ONLINE CANCER SUPPORT GROUP DISCUSSIONS: MP11-15
W Ranasinghe, D de Silva, T Bandaragoda, A Adikari, D Bolton, ...
Journal of Urology 199 (4), e133, 2018
12018
A cloud-based architecture for explainable Big Data analytics using self-structuring Artificial Intelligence
N Mills, Z Issadeen, A Matharaarachchi, T Bandaragoda, D De Silva, ...
Discover Artificial Intelligence 4 (1), 33, 2024
2024
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