Achini Adikari
Achini Adikari
Lecturer and Researcher, Centre for Data Analytics and Cognition, La Trobe University, Australia
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Cited by
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
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
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 (1), 5232374, 2019
What is autistic burnout? A thematic analysis of posts on two online platforms
J Mantzalas, AL Richdale, A Adikari, J Lowe, C Dissanayake
Autism in Adulthood 4 (1), 52-65, 2022
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
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
A self structuring artificial intelligence framework for deep emotions modeling and analysis on the social web
A Adikari, G Gamage, D De Silva, N Mills, SMJ Wong, D Alahakoon
Future Generation Computer Systems 116, 302-315, 2021
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
Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare
A Adikari, D De Silva, H Moraliyage, D Alahakoon, J Wong, M Gancarz, ...
Future Generation Computer Systems 126, 318-329, 2022
A cognitive model for emotion awareness in industrial Chatbots
A Adikari, D De Silva, D Alahakoon, X Yu
2019 IEEE 17th international conference on industrial informatics (INDIN) 1†…, 2019
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
Understanding citizens’ emotional pulse in a smart city using artificial intelligence
A Adikari, D Alahakoon
IEEE Transactions on Industrial Informatics 17 (4), 2743-2751, 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
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 25, 1737-1745, 2018
Discovering the influence of sarcasm in social media responses
W Peng, A Adikari, D Alahakoon, J Gero
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (6†…, 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
Natural language processing–based virtual cofacilitator for online cancer support groups: protocol for an algorithm development and validation study
YW Leung, E Wouterloot, A Adikari, G Hirst, D De Silva, J Wong, ...
JMIR research protocols 10 (1), e21453, 2021
From concept to practice: A scoping review of the application of AI to aphasia diagnosis and management
A Adikari, N Hernandez, D Alahakoon, ML Rose, JE Pierce
Disability and Rehabilitation 46 (7), 1288-1297, 2024
Recurrent self-structuring machine learning for video processing using multi-stream hierarchical growing self-organizing maps
R Nawaratne, A Adikari, D Alahakoon, D De Silva, N Chilamkurti
Multimedia Tools and Applications 79, 16299-16317, 2020
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