3 papers
cs.LG2026
Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection
Yiqun Zhang, Zhanpei Huang, Mingjie Zhao +5
Unlabeled streaming data are usually collected to describe dynamic systems, where concept drift detection is a vital prerequisite to understanding the evolution of systems. However…
cs.LG2026
Detecting Autism Spectrum Disorder with Deep Eye Movement Features
Zhanpei Huang, Taochen chen, Fangqing Gu +1
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and behavioral patterns. Eye movement data offers a non-invasive d…
cs.LG2025
Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering
Mingjie Zhao, Zhanpei Huang, Yang Lu +4
Categorical attributes with qualitative values are ubiquitous in cluster analysis of real datasets. Unlike the Euclidean distance of numerical attributes, the categorical attribute…