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Savitha Ramasamy

Showing results (1-10 of 9) with videos related to

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IEEE Transactions on Cybernetics|June 24, 2022
Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable ClassifierAbeegithan Jeyasothy, Sundaram Suresh, Savitha Ramasamy, et al.
Journal of Neuromuscular Diseases|April 1, 2025
A neuromuscular clinician's primer on machine learningCrystal Jing Jing Yeo, Savitha Ramasamy, F Joel Leong, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 22, 2023
Improving transparency and representational generalizability through parallel continual learningMahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, et al.
Muscle & Nerve|September 15, 2025
Predicting Amyotrophic Lateral Sclerosis Mortality With Machine Learning in Diverse Patient DatabasesLing Guo, Ian Qian Xu, Sonakshi Nag, et al.
Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration|October 5, 2023
Describing and characterising variability in ALS disease progressionMuzammil Arif Din Abdul Jabbar, Ling Guo, Yang Guo, et al.
Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration|December 5, 2023
Predicting amyotrophic lateral sclerosis (ALS) progression with machine learningMuzammil Arif Din Abdul Jabbar, Ling Guo, Sonakshi Nag, et al.
Muscle & Nerve|April 23, 2025
Predictive Analysis of Amyotrophic Lateral Sclerosis Progression and Mortality in a Clinic Cohort From SingaporeIan Qian Xu, Ling Guo, Jing Xu, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart FailureFatemeh Fahimi, Yang Guo, Shao Chuen Tong, et al.
IEEE Journal of Biomedical and Health Informatics|September 1, 2025
Towards Reliable Prediction: A Bayesian Continual Learning Approach for Clinical Time-series DataCao Zhen, Jeanette Poh Wen Jun, Yang Guo, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Cybernetics|June 24, 2022
Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable ClassifierAbeegithan Jeyasothy, Sundaram Suresh, Savitha Ramasamy, et al.
Journal of Neuromuscular Diseases|April 1, 2025
A neuromuscular clinician's primer on machine learningCrystal Jing Jing Yeo, Savitha Ramasamy, F Joel Leong, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 22, 2023
Improving transparency and representational generalizability through parallel continual learningMahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, et al.
Muscle & Nerve|September 15, 2025
Predicting Amyotrophic Lateral Sclerosis Mortality With Machine Learning in Diverse Patient DatabasesLing Guo, Ian Qian Xu, Sonakshi Nag, et al.
Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration|October 5, 2023
Describing and characterising variability in ALS disease progressionMuzammil Arif Din Abdul Jabbar, Ling Guo, Yang Guo, et al.
Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration|December 5, 2023
Predicting amyotrophic lateral sclerosis (ALS) progression with machine learningMuzammil Arif Din Abdul Jabbar, Ling Guo, Sonakshi Nag, et al.
Muscle & Nerve|April 23, 2025
Predictive Analysis of Amyotrophic Lateral Sclerosis Progression and Mortality in a Clinic Cohort From SingaporeIan Qian Xu, Ling Guo, Jing Xu, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart FailureFatemeh Fahimi, Yang Guo, Shao Chuen Tong, et al.
IEEE Journal of Biomedical and Health Informatics|September 1, 2025
Towards Reliable Prediction: A Bayesian Continual Learning Approach for Clinical Time-series DataCao Zhen, Jeanette Poh Wen Jun, Yang Guo, et al.
Pageof 1