| A machine learning approach to predict diabetes using short recorded photoplethysmography and physiological characteristics C Hettiarachchi, C Chitraranjan Artificial Intelligence in Medicine: 17th Conference on Artificial …, 2019 | 26 | 2019 |
| Ensuring security of artificial pancreas device system using homomorphic encryption H Weng, C Hettiarachchi, C Nolan, H Suominen, A Lenskiy Biomedical Signal Processing and Control 79, 104044, 2023 | 12 | 2023 |
| Integrating multiple inputs into an artificial pancreas system: Narrative literature review C Hettiarachchi, E Daskalaki, J Desborough, CJ Nolan, D O’Neal, ... JMIR diabetes 7 (1), e28861, 2022 | 12 | 2022 |
| A wearable system to analyze the human arm for predicting injuries due to throwing C Hettiarachchi, J Kodithuwakku, B Manamperi, A Ifham, P Silva 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 8 | 2019 |
| A reinforcement learning based system for blood glucose control without carbohydrate estimation in type 1 diabetes: In silico validation C Hettiarachchi, N Malagutti, C Nolan, E Daskalaki, H Suominen 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 7 | 2022 |
| Personalised short-term glucose prediction via recurrent self-attention network R Cui, C Hettiarachchi, CJ Nolan, E Daskalaki, H Suominen 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 7 | 2021 |
| G2P2C—A modular reinforcement learning algorithm for glucose control by glucose prediction and planning in Type 1 Diabetes C Hettiarachchi, N Malagutti, CJ Nolan, H Suominen, E Daskalaki Biomedical Signal Processing and Control 90, 105839, 2024 | 1 | 2024 |
| Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes C Hettiarachchi, N Malagutti, CJ Nolan, H Suominen, E Daskalaki Australasian Joint Conference on Artificial Intelligence, 557-570, 2022 | 1 | 2022 |
| Comparative Assessment of Machine Learning Strategies for Electrocardiogram Denoising B Wang, C Hettiarachchi, H Suominen, E Daskalaki Australasian Joint Conference on Artificial Intelligence, 495-506, 2023 | | 2023 |
| Reinforcement Learning-based Artificial Pancreas Systems to Automate Treatment in Type 1 Diabetes C Hettiarachchi The Australian National University, 2023 | | 2023 |
| Deep Reinforcement Learning for Eliminating Carbohydrate Estimation in Glucose Regulation in Type 1 Diabetes C Hettiarachchi, N Malagutti, C Nolan, H Suominen, E Daskalaki DIABETES TECHNOLOGY & THERAPEUTICS 24 (S1), 2022 | | 2022 |
| CAPSML: Bridging the Gap Between Clinicians, Lived Experience Experts, and Artificial Intelligence Systems for Glucose Regulation in Type 1 Diabetes C Hettiarachchi, N Malagutti, C Nolan, E Daskalaki, H Suominen https://capsml.com/, 2022 | | 2022 |
| Model-free Inference of Information Flow Among Physiological Signals in Type 1 Diabetes Subjects Using Multivariate Transfer Entropy C Hettiarachchi, E Daskalaki, N Malagutti, C Nolan, H Suominen DIABETES TECHNOLOGY & THERAPEUTICS 23, A99-A99, 2021 | | 2021 |
| Use of Machine Learning for the Prediction of Diabetes from Photoplethysmography (PPG) Measurements & Physiological Characteristics CY Hettiarachchi University of Moratuwa Sri Lanka, 2020 | | 2020 |
| Controlling Artificial Pancreas Systems through Machine Learning C Hettiarachchi, E Daskalaki, N Malagutti, C Nolan, H Suominen Diabetes 391 (10138), 2449-2462, 2020 | | 2020 |
| Identifying the Optimum Region of the Human Sole to Extract the PPG Signal for Pulse Rate Estimation C Hettiarachchi, B Manamperi, D Uthpala Proceedings of the 9th International Conference on Signal Processing Systems …, 2017 | | 2017 |
Hanna SuominenProfessor, Associate Director (Neuroinformatics), ANU School of Computing and ANU Eccles InstituteVerified email at anu.edu.au
