Alahakoon, Damminda

Spatiotemporal Anomaly Detection Using Deep Learning for Real-Time Video Surveillance

Nawaratne, R., Alahakoon, D., De Silva, D., & Yu, X. (2020) · IEEE Transactions on Industrial Informatics

Anomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking Methods

Cited by 318

An artificial intelligence life cycle: from conception to production

De Silva, D., & Alahakoon, D. (2022) · Patterns

Artificial Intelligence ApplicationsSoftware Engineering Techniques and Practices

Cited by 189

Machine learning to support social media empowered patients in cancer care and cancer treatment decisions

De Silva, D., Ranasinghe, W., Bandaragoda, T., Adikari, A., Mills, N., Iddamalgoda, L., Alahakoon, D., Lawrentschuk, N., Persad, R., Osipov, E., et al. (2018) · PLOS ONE

Health Literacy and Information AccessibilitySocial Media in Health Education

Cited by 86

Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare

Adikari, A., de Silva, D., Moraliyage, H., Alahakoon, D., Wong, J., Gancarz, M., Chackochan, S., Park, B., Heo, R., & Leung, Y. (2022) · Future Generation Computer Systems

Emotion and Mood RecognitionDigital Mental Health Interventions

Cited by 71

Finding the Intersection of Neuroplasticity, Stroke Recovery, and Learning: Scope and Contributions to Stroke Rehabilitation

Carey, L., Walsh, A., Adikari, A., Goodin, P., Alahakoon, D., De Silva, D., Ong, K.-L., Nilsson, M., & Boyd, L. (2019) · Neural Plasticity

Stroke Rehabilitation and RecoveryTranscranial Magnetic Stimulation Studies

Cited by 68

From concept to practice: a scoping review of the application of AI to aphasia diagnosis and management

Adikari, A., Hernandez, N., Alahakoon, D., Rose, M. L., & Pierce, J. E. (2024) · Disability and Rehabilitation

Neurobiology of Language and BilingualismAssistive Technology in Communication and Mobility

Cited by 54

A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions

Moraliyage, H., Dahanayake, S., De Silva, D., Mills, N., Rathnayaka, P., Nguyen, S., Alahakoon, D., & Jennings, A. (2022) · Sensors

Building Energy and Comfort OptimizationBuilding energy efficiency and sustainability

Cited by 31

The Patient-Reported Information Multidimensional Exploration (PRIME) framework for investigating emotions and other factors of prostate cancer patients with low intermediate risk based on online cancer support group discussions

Bandaragoda, T., Ranasinghe, W., Adikari, A., de Silva, D., Lawrentschuk, N., Alahakoon, D., Persad, R., & Bolton, D. (2018) · Annals of Surgical Oncology

Cancer survivorship and careSentiment Analysis and Opinion Mining

Cited by 29

Robotic-assisted vs. open radical prostatectomy: a machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups

Ranasinghe, W., de Silva, D., Bandaragoda, T., Adikari, A., Alahakoon, D., Persad, R., Lawrentschuk, N., & Bolton, D. (2018) · Urologic Oncology: Seminars and Original Investigations

Prostate Cancer Diagnosis and TreatmentCancer survivorship and care

Cited by 21

A systematic review of AI-based food and calorie detection systems in healthcare: Trends, techniques, and applications

Kumarasamy, G., Nguyen, M. V., Hettiarachchige, P., Ranasinghe, P., Thayasivam, U., & Alahakoon, D. (2026) · DIGITAL HEALTH

Advanced Neural Network ApplicationsInnovation in Digital Healthcare Systems

Cited by 0