Fushing Hsieh

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 24

Top Topics

Multiclass Classification

Exploratory Data Analysis

Behavioral Patterns

Conditional Entropy

Top Venues

Frontiers Appl. Math. Stat.

Publications

Fushing Hsieh, Hong-Wei Kao, Elizabeth P. Chou
Topological Risk-Landscape in Metric-Free Categorical Database. IEEE Access 12 (2024)
Shuting Liao, Fushing Hsieh
Unraveling Heterogeneity of ADNI's Time-to-Event Data Using Conditional Entropy - Part I: Cross-Sectional Study. IEEE Access 12 (2024)
Xiaodong Wang, Fushing Hsieh
An encoding approach for stable change point detection. Mach. Learn. 113 (7) (2024)
Emanuela Furfaro, Fushing Hsieh
Ordinal Conditional Entropy Displays Reveal Intrinsic Characteristics of the Rosenberg Self-Esteem Scale. Entropy 25 (9) (2023)
Xi Yang, Fushing Hsieh
Mimicking Gait Dynamics: A Step Toward Precision Learning of Human Activities. IEEE Access 11 (2023)
Jingyi Zheng, Mingli Liang, Sujata Sinha, Linqiang Ge, Wei Yu, Arne D. Ekstrom, Fushing Hsieh
Time-Frequency Analysis of Scalp EEG With Hilbert-Huang Transform and Deep Learning. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Catherine McVey, Fushing Hsieh, Diego Manriquez, Pablo Pinedo, Kristina Horback
Livestock Informatics Toolkit: A Case Study in Visually Characterizing Complex Behavioral Patterns across Multiple Sensor Platforms, Using Novel Unsupervised Machine Learning and Information Theoretic Approaches. Sensors 22 (1) (2022)
Elizabeth P. Chou, Ting-Li Chen, Fushing Hsieh
Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System Problems. Entropy 24 (2) (2022)
Ting-Li Chen, Fushing Hsieh, Elizabeth P. Chou
Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate Dynamics. Entropy 24 (10) (2022)
Fushing Hsieh, Elizabeth P. Chou, Ting-Li Chen
Mimicking Complexity of Structured Data Matrix's Information Content: Categorical Exploratory Data Analysis. Entropy 23 (5) (2021)
Fushing Hsieh, Elizabeth P. Chou
Categorical Exploratory Data Analysis: From Multiclass Classification and Response Manifold Analytics Perspectives of Baseball Pitching Dynamics. Entropy 23 (7) (2021)
Fushing Hsieh, Xiaodong Wang
Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence. CoRR (2021)
Ting-Li Chen, Elizabeth P. Chou, Fushing Hsieh
Categorical Nature of Major Factor Selection via Information Theoretic Measurements. Entropy 23 (12) (2021)
Shuting Liao, Li-Yu Liu, Ting-An Chen, Kuang-Yu Chen, Fushing Hsieh
Color-complexity enabled exhaustive color-dots identification and spatial patterns testing in images. CoRR (2020)
Sabrina Enriquez, Fushing Hsieh
Categorical exploratory data analysis on goodness-of-fit issues. CoRR (2020)
Jingyi Zheng, Fushing Hsieh, Linqiang Ge
A Data-Driven Approach to Predict and Classify Epileptic Seizures from Brain-Wide Calcium Imaging Video Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (6) (2020)
Fushing Hsieh, Xiaodong Wang
From Learning Gait Signatures of Many Individuals to Reconstructing Gait Dynamics of One Single Individual. Frontiers Appl. Math. Stat. 6 (2020)
Fushing Hsieh, Jingyi Zheng
Unraveling Pattern-Based Mechanics Defining Self-Organized Recurrent Behaviors in a Complex System: A Zebrafish's Calcium Brain-Wide Imaging Example. Frontiers Appl. Math. Stat. 5 (2019)
Jiahui Guan, Fushing Hsieh
Coupling Geometry on Binary Bipartite Networks: Hypotheses Testing on Pattern Geometry and Nestedness. Frontiers Appl. Math. Stat. 4 (2018)
Yao Li, Minhao Cheng, Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh
Learning from Group Comparisons: Exploiting Higher Order Interactions. NeurIPS (2018)
Jingyi Zheng, Mingli Liang, Arne D. Ekstrom, Linqiang Ge, Wei Yu, Fushing Hsieh
On Association Study of Scalp EEG Data Channels Under Different Circumstances. WASA (2018)
Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh
Computable Expert Knowledge in Computer Games. ICMLA (2017)
Fushing Hsieh, Kevin Fujii, Cho-Jui Hsieh
Machine Learning Meliorates Computing and Robustness in Discrete Combinatorial Optimization Problems. Frontiers Appl. Math. Stat. 2 (2016)
Fushing Hsieh, Kevin Fujii
Mimicking Directed Binary Networks for Exploring Systemic Sensitivity: Is NCAA FBS a Fragile Competition System? Frontiers Appl. Math. Stat. 2 (2016)
Hsing-Ti Wu, Fushing Hsieh, Laurence Zsu-Hsin Chuang
Computing and Learning Year-Round Daily Patterns of Hourly Wind Speed and Direction and Their Global Associations with Meteorological Factors. Entropy 17 (8) (2015)
Shu-Chun Chen, Fushing Hsieh, Chii-Ruey Hwang
Discovering focal regions of slightly-aggregated sparse signals. Comput. Stat. 28 (5) (2013)
Elizabeth P. Chou, Fushing Hsieh, John Capitanio
Computed Data-Geometry Based Supervised and Semi-supervised Learning in High Dimensional Data. ICMLA (1) (2013)
Michael P. McAssey, Fushing Hsieh, Anne C. Smith
Coupling among Electroencephalogram Gamma Signals on a Short Time Scale. Comput. Intell. Neurosci. 2010 (2010)
Fushing Hsieh, Shu-Chun Chen, How-Jing Lee
Computing circadian rhythmic patterns and beyond: introduction to a new non-Fourier analysis. Comput. Stat. 24 (3) (2009)