Feature-driven machine learning to improve early diagnosis of Parkinson's disease. - Luca Parisi; Narrendar RaviChandran; Marianne Lyne Manaog (Expert Syst. Appl., 2018)

Decision support system to improve postoperative discharge: A novel multi-class classification approach. - Luca Parisi; Narrendar RaviChandran; Marianne Lyne Manaog (Knowl. Based Syst., 2018)

Electrophysiologically-identified motor points of forearm muscles. - Narrendar RaviChandran; Kean C. Aw; Andrew McDaid (IEEE DataPort, 2019)

hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras. - Luca Parisi; Renfei Ma; Narrendar RaviChandran; Matteo Lanzillotta (CoRR, 2020)

Evolutionary feature transformation to improve prognostic prediction of hepatitis. - Luca Parisi; Narrendar RaviChandran (Knowl. Based Syst., 2020)

A novel hybrid algorithm for aiding prediction of prognosis in patients with hepatitis. - Luca Parisi; Narrendar RaviChandran; Marianne Lyne Manaog (Neural Comput. Appl., 2020)

Evolutionary Denoising-Based Machine Learning for Detecting Knee Disorders. - Luca Parisi; Narrendar RaviChandran (Neural Process. Lett., 2020)

Characterizing the Motor Points of Forearm Muscles for Dexterous Neuroprostheses. - Narrendar RaviChandran; Kean C. Aw; Andrew McDaid (IEEE Trans. Biomed. Eng., 2020)

Neuroevolutionary intelligent system to aid diagnosis of motor impairments in children. - Matteo Lanzillotta; Renfei Ma; Marcella Accardi; Narrendar RaviChandran; Amir Zaernia; Mansour Youseffi; Luca Parisi (Appl. Intell., 2022)

Syncretic Feature Selection for Machine Learning-Aided Prognostics of Hepatitis. - Luca Parisi; Narrendar RaviChandran (Neural Process. Lett., 2022)

Body-Powered and Portable Soft Hydraulic Actuators as Prosthetic Hands. - Sivakumar Kandasamy; Mei Ying Teo; Narrendar RaviChandran; Andrew McDaid; Krishnan Jayaraman; Kean C. Aw (Robotics, 2022)

Conformable Electrode Arrays for Wearable Neuroprostheses. - Narrendar RaviChandran; Mei Ying Teo; Andrew McDaid; Kean C. Aw (Sensors, 2023)

Modeling the excitation of nerve axons under transcutaneous stimulation. - Narrendar RaviChandran; James Hope; Kean C. Aw; Andrew McDaid (Comput. Biol. Medicine, 2023)

Towards Clinical AI Fairness: Filling Gaps in the Puzzle. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; et al. (CoRR, 2024)

Optimal evolutionary framework-based activation function for image classification. - Luca Parisi; Ciprian-Daniel Neagu; Narrendar RaviChandran; Renfei Ma; Felician Campean (Knowl. Based Syst., 2024)

A scoping review and evidence gap analysis of clinical AI fairness. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jingchi Liao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; et al. (npj Digit. Medicine, 2025)