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2020 – today
- 2024
[j22]Shuting Liao
, Fushing Hsieh:
Unraveling Heterogeneity of ADNI's Time-to-Event Data Using Conditional Entropy - Part I: Cross-Sectional Study. IEEE Access 12: 3292-3314 (2024)- [j21]Fushing Hsieh, Hong-Wei Kao, Elizabeth P. Chou:
Topological Risk-Landscape in Metric-Free Categorical Database. IEEE Access 12: 66296-66318 (2024) - [j20]Xiaodong Wang, Fushing Hsieh:
An encoding approach for stable change point detection. Mach. Learn. 113(7): 4133-4163 (2024) - 2023
- [j19]Xi Yang, Fushing Hsieh:
Mimicking Gait Dynamics: A Step Toward Precision Learning of Human Activities. IEEE Access 11: 4517-4536 (2023) - [j18]Emanuela Furfaro, Fushing Hsieh:
Ordinal Conditional Entropy Displays Reveal Intrinsic Characteristics of the Rosenberg Self-Esteem Scale. Entropy 25(9): 1311 (2023) - 2022
- [j17]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): 170 (2022) - [j16]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): 1382 (2022) - [j15]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): 1 (2022) - [j14]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): 1549-1559 (2022) - 2021
- [j13]Fushing Hsieh, Elizabeth P. Chou, Ting-Li Chen:
Mimicking Complexity of Structured Data Matrix's Information Content: Categorical Exploratory Data Analysis. Entropy 23(5): 594 (2021) - [j12]Fushing Hsieh, Elizabeth P. Chou:
Categorical Exploratory Data Analysis: From Multiclass Classification and Response Manifold Analytics Perspectives of Baseball Pitching Dynamics. Entropy 23(7): 792 (2021) - [j11]Ting-Li Chen, Elizabeth P. Chou, Fushing Hsieh:
Categorical Nature of Major Factor Selection via Information Theoretic Measurements. Entropy 23(12): 1684 (2021) - [i3]Fushing Hsieh, Xiaodong Wang:
Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence. CoRR abs/2104.07191 (2021) - 2020
- [j10]Fushing Hsieh, Xiaodong Wang:
From Learning Gait Signatures of Many Individuals to Reconstructing Gait Dynamics of One Single Individual. Frontiers Appl. Math. Stat. 6: 564935 (2020) - [j9]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): 1858-1870 (2020) - [i2]Shuting Liao, Li-Yu Daisy Liu, Ting-An Chen, Kuang-Yu Chen, Fushing Hsieh:
Color-complexity enabled exhaustive color-dots identification and spatial patterns testing in images. CoRR abs/2007.14485 (2020) - [i1]Sabrina Enriquez, Fushing Hsieh:
Categorical exploratory data analysis on goodness-of-fit issues. CoRR abs/2011.09682 (2020)
2010 – 2019
- 2019
- [j8]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: 13 (2019) - 2018
- [j7]Jiahui Guan, Fushing Hsieh:
Coupling Geometry on Binary Bipartite Networks: Hypotheses Testing on Pattern Geometry and Nestedness. Frontiers Appl. Math. Stat. 4: 38 (2018) - [c4]Yao Li, Minhao Cheng, Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh:
Learning from Group Comparisons: Exploiting Higher Order Interactions. NeurIPS 2018: 4986-4995 - [c3]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: 683-695 - 2017
- [c2]Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh:
Computable Expert Knowledge in Computer Games. ICMLA 2017: 749-754 - 2016
- [j6]Fushing Hsieh, Kevin Fujii:
Mimicking Directed Binary Networks for Exploring Systemic Sensitivity: Is NCAA FBS a Fragile Competition System? Frontiers Appl. Math. Stat. 2: 9 (2016) - [j5]Fushing Hsieh, Kevin Fujii, Cho-Jui Hsieh:
Machine Learning Meliorates Computing and Robustness in Discrete Combinatorial Optimization Problems. Frontiers Appl. Math. Stat. 2: 20 (2016) - 2015
- [j4]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): 5784-5798 (2015) - 2013
- [j3]Shu-Chun Chen, Fushing Hsieh, Chii-Ruey Hwang:
Discovering focal regions of slightly-aggregated sparse signals. Comput. Stat. 28(5): 2295-2308 (2013) - [c1]Elizabeth P. Chou, Fushing Hsieh, John Capitanio:
Computed Data-Geometry Based Supervised and Semi-supervised Learning in High Dimensional Data. ICMLA (1) 2013: 277-282 - 2010
- [j2]Michael P. McAssey, Fushing Hsieh, Anne C. Smith:
Coupling among Electroencephalogram Gamma Signals on a Short Time Scale. Comput. Intell. Neurosci. 2010: 946089:1-946089:12 (2010)
2000 – 2009
- 2009
- [j1]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): 409-430 (2009)
Coauthor Index
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