| Feature-driven Machine Learning to Improve Early Diagnosis of Parkinson's Disease L Parisi, N RaviChandran, ML Manaog Expert Systems with Applications, 2018 | 122 | 2018 |
| Direct patterning of highly conductive PEDOT: PSS/ionic liquid hydrogel via microreactive inkjet printing MY Teo, N RaviChandran, N Kim, S Kee, L Stuart, KC Aw, J Stringer ACS applied materials & interfaces 11 (40), 37069-37076, 2019 | 45 | 2019 |
| Enabling free-standing 3D hydrogel microstructures with microreactive inkjet printing MY Teo, S Kee, N RaviChandran, L Stuart, KC Aw, J Stringer ACS applied materials & interfaces 12 (1), 1832-1839, 2019 | 26 | 2019 |
| A novel hybrid algorithm for aiding prediction of prognosis in patients with hepatitis L Parisi, N RaviChandran, ML Manaog Neural Computing and Applications 32 (8), 3839-3852, 2020 | 23 | 2020 |
| hyper-sinh: An accurate and reliable function from shallow to deep learning in TensorFlow and Keras L Parisi, R Ma, N RaviChandran, M Lanzillotta Machine Learning with Applications 6, 100112, 2021 | 20 | 2021 |
| Decision Support System to Improve Postoperative Discharge: A Novel Multi-Class Classification Approach L Parisi, N RaviChandran, ML Manaog Knowledge-Based Systems, 2018 | 18 | 2018 |
| Evolutionary feature transformation to improve prognostic prediction of hepatitis L Parisi, N RaviChandran Knowledge-Based Systems, 2020 | 17 | 2020 |
| Genetic algorithms and unsupervised machine learning for predicting robotic manipulation failures for force-sensitive tasks L Parisi, N RaviChandran 2018 4th International conference on control, automation and robotics (ICCAR …, 2018 | 15 | 2018 |
| Evolutionary denoising-based machine learning for detecting knee disorders L Parisi, N RaviChandran Neural Processing Letters 52 (3), 2565-2581, 2020 | 6 | 2020 |
| Artificial intelligence for clinical gait diagnostics of knee osteoarthritis: an evidence-based review and analysis L Parisi, N Ravichandran, M Lanzillotta TechrXiv, 2020 | 5 | 2020 |
| Characterizing the motor points of forearm muscles for dexterous neuroprostheses N RaviChandran, KC Aw, A McDaid IEEE Transactions on Biomedical Engineering 67 (1), 50-59, 2019 | 5 | 2019 |
| Genetic Algorithms and Artificial Neural Networks for Optimising User Control in Hand Prosthetic Devices L Parisi, N RaviChandran 2017 AUT Mathematical Sciences Symposium 1 (1), 16, 2017 | 4 | 2017 |
| Design of Transcutaneous Stimulation Electrodes for Wearable Neuroprostheses N RaviChandran, MY Teo, K Aw, A McDaid IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020 | 3 | 2020 |
| Syncretic feature selection for machine learning-aided prognostics of hepatitis L Parisi, N RaviChandran Neural Processing Letters, 1-25, 2022 | 2 | 2022 |
| Supervised machine learning for aiding diagnosis of knee osteoarthritis: a systematic review and meta-analysis L Parisi, N RaviChandran, M Lanzillotta TechrXiv, 2020 | 2 | 2020 |
| Influence of Electrode Geometry on Selectivity and Comfort for Functional Electrical Stimulation N RaviChandran, K Aw, A McDaid International Functional Electrical Stimulation Society (IFESS), RehabWeek 2019, 2019 | 2 | 2019 |
| Evolutionary Algorithms for Margin Maximisation of Support Vector Machine L Parisi, N RaviChandran ANZAMP Meeting 2018 - Sixth Annual Meeting of The Australian and New Zealand …, 2018 | 2 | 2018 |
| A LabVIEW Interface for RehaStim 2 N RaviChandran, K Aw, A McDaid TechRxiv, 2022 | 1 | 2022 |
| Body-powered and portable soft hydraulic actuators as prosthetic hands S Kandasamy, M Teo, N RaviChandran, A McDaid, K Jayaraman, K Aw Robotics 11 (4), 71, 2022 | 1 | 2022 |
| Conformable Electrode Arrays for Wearable Neuroprostheses N RaviChandran, MY Teo, A McDaid, K Aw Sensors 23 (6), 2982, 2023 | | 2023 |
Luca ParisiAI PhD (Uni. of Bradford); AI MBA (Coventry Uni.); BEng Hons (Cardiff Uni.)Verified email at ieee.org
