| 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 | 306 | 2019 |
| Isolation‐based anomaly detection using nearest‐neighbor ensembles TR Bandaragoda, KM Ting, D Albrecht, FT Liu, Y Zhu, JR Wells Computational Intelligence, 2018 | 175 | 2018 |
| 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 | 101 | 2018 |
| 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 | 100 | 2014 |
| 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 | 39 | 2017 |
| 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 | 36 | 2019 |
| 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 | 35 | 2020 |
| 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 | 35 | 2020 |
| 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 | 28 | 2018 |
| 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 | 27 | 2019 |
| 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 | 26 | 2019 |
| 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 | 24 | 2018 |
| 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 | 21 | 2017 |
| 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 | 20 | 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, 2017 | 17 | 2017 |
| 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 | 16 | 2018 |
| Isolation based anomaly detection: A re-examination TR Bandaragoda Monash University, 2015 | 8 | 2015 |
| 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 | 2 | 2024 |
| 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 | 2 | 2018 |
| 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 | 1 | 2018 |
Damminda AlahakoonProfessor, La Trobe UniversityVerified email at latrobe.edu.au
