129 citations · 132 across the 5 of their papers we have counts for
5 papers
Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning
Hao Yang, Hua Mao, Wai Lok Woo +2
Multiview clustering (MVC) segregates data samples into meaningful clusters by synthesizing information across multiple views. Moreover, deep learning-based methods have demonstrat…
Deep Multiview Clustering by Contrasting Cluster Assignments
Jie Chen, Hua Mao, Wai Lok Woo +1
Multiview clustering (MVC) aims to reveal the underlying structure of multiview data by categorizing data samples into clusters. Deep learning-based methods exhibit strong feature…
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…
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…
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),…