7 citations · 17 across the 9 of their papers we have counts for
12 papers
Unraveling heterogeneity of ADNI's time-to-event data using conditional entropy Part-I: Cross-sectional study
Shuting Liao, Fushing Hsieh
Through Alzheimer's Disease Neuroimaging Initiative (ADNI), time-to-event data: from the pre-dementia state of mild cognitive impairment (MCI) to the diagnosis of Alzheimer's disea…
Learned practical guidelines for evaluating Conditional Entropy and Mutual Information in discovering major factors of response-vs-covariate dynamics
Ting-Li Chen, Hsieh Fushing, Elizabeth P. Chou
We reformulate and reframe a series of increasingly complex parametric statistical topics into a framework of response-vs-covariate (Re-Co) dynamics that is described without any e…
Multiscale major factor selections for complex system data with structural dependency and heterogeneity
Hsieh Fushing, Elizabeth Chou, Ting-Li Chen
Based on structured data derived from large complex systems, we computationally further develop and refine a major factor selection protocol by accommodating structural dependency…
An Encoding Approach for Stable Change Point Detection
Xiaodong Wang, Fushing Hsieh
Without imposing prior distributional knowledge underlying multivariate time series of interest, we propose a nonparametric change-point detection approach to estimate the number o…
Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence
Fushing Hsieh, Xiaodong Wang
Under any Multiclass Classification (MCC) setting defined by a collection of labeled point-cloud specified by a feature-set, we extract only stochastic partial orderings from all p…
Discovering Multiple Phases of Dynamics by Dissecting Multivariate Time Series
Xiaodong Wang, Fushing Hsieh
We proposed a data-driven approach to dissect multivariate time series in order to discover multiple phases underlying dynamics of complex systems. This computing approach is devel…