3 papers
eess.SP2022
Predicting Sleeping Quality using Convolutional Neural Networks
Vidya Rohini Konanur Sathish, Wai Lok Woo, Edmond S. L. Ho
Identifying sleep stages and patterns is an essential part of diagnosing and treating sleep disorders. With the advancement of smart technologies, sensor data related to sleeping p…
cs.LG2022
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye +1
Schizophrenia is a severe mental health condition that requires a long and complicated diagnostic process. However, early diagnosis is vital to control symptoms. Deep learning has…
cs.CV2021
Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework
Kevin D. McCay, Edmond S. L. Ho, Dimitrios Sakkos +4
Providing early diagnosis of cerebral palsy (CP) is key to enhancing the developmental outcomes for those affected. Diagnostic tools such as the General Movements Assessment (GMA),…