Fushing Hsieh
Orcid: 0000-0002-9292-6980
According to our database1,
Fushing Hsieh
authored at least 28 papers
between 2009 and 2024.
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Bibliography
2024
Unraveling Heterogeneity of ADNI's Time-to-Event Data Using Conditional Entropy - Part I: Cross-Sectional Study.
IEEE Access, 2024
2023
Ordinal Conditional Entropy Displays Reveal Intrinsic Characteristics of the Rosenberg Self-Esteem Scale.
Entropy, September, 2023
IEEE Access, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
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, 2022
Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System Problems.
Entropy, 2022
Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate Dynamics.
Entropy, 2022
2021
Mimicking Complexity of Structured Data Matrix's Information Content: Categorical Exploratory Data Analysis.
Entropy, 2021
Categorical Exploratory Data Analysis: From Multiclass Classification and Response Manifold Analytics Perspectives of Baseball Pitching Dynamics.
Entropy, 2021
Entropy, 2021
Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence.
CoRR, 2021
2020
A Data-Driven Approach to Predict and Classify Epileptic Seizures from Brain-Wide Calcium Imaging Video Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
From Learning Gait Signatures of Many Individuals to Reconstructing Gait Dynamics of One Single Individual.
Frontiers Appl. Math. Stat., 2020
Color-complexity enabled exhaustive color-dots identification and spatial patterns testing in images.
CoRR, 2020
2019
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., 2019
2018
Coupling Geometry on Binary Bipartite Networks: Hypotheses Testing on Pattern Geometry and Nestedness.
Frontiers Appl. Math. Stat., 2018
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
2016
Machine Learning Meliorates Computing and Robustness in Discrete Combinatorial Optimization Problems.
Frontiers Appl. Math. Stat., 2016
Mimicking Directed Binary Networks for Exploring Systemic Sensitivity: Is NCAA FBS a Fragile Competition System?
Frontiers Appl. Math. Stat., 2016
2015
Computing and Learning Year-Round Daily Patterns of Hourly Wind Speed and Direction and Their Global Associations with Meteorological Factors.
Entropy, 2015
2013
Computed Data-Geometry Based Supervised and Semi-supervised Learning in High Dimensional Data.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
2010
Comput. Intell. Neurosci., 2010
2009
Computing circadian rhythmic patterns and beyond: introduction to a new non-Fourier analysis.
Comput. Stat., 2009