Search Results - "Chou, Elizabeth P."

Unraveling implicit human behavioral effects on dynamic characteristics of Covid-19 daily infection rates in Taiwan by Chen, Ting-Li, Chou, Elizabeth P, Chen, Min-Yi, Hsieh, Fushing

“…We investigate the dynamic characteristics of Covid-19 daily infection rates in Taiwan during its initial surge period, focusing on 79 districts within the…”
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Categorical Exploratory Data Analysis: From Multiclass Classification and Response Manifold Analytics Perspectives of Baseball Pitching Dynamics by Hsieh, Fushing, Chou, Elizabeth P.

“…All features of any data type are universally equipped with categorical nature revealed through histograms. A contingency table framed by two histograms…”
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Categorical Nature of Major Factor Selection via Information Theoretic Measurements by Chen, Ting-Li, Chou, Elizabeth P, Fushing, Hsieh

“…Without assuming any functional or distributional structure, we select collections of major factors embedded within response-versus-covariate (Re-Co) dynamics…”
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Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate Dynamics by Chen, Ting-Li, Fushing, Hsieh, Chou, Elizabeth P

“…We reformulate and reframe a series of increasingly complex parametric statistical topics into a framework of response-vs.-covariate (Re-Co) dynamics that is…”
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Topological Risk-Landscape in Metric-Free Categorical Database by Fushing, Hsieh, Kao, Hong-Wei, Chou, Elizabeth P.

“…The Entropy-based Categorical Exploratory Data Analysis (CEDA) paradigm is elaborately refined to algorithmically explore the intricate high-order directional…”
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A study of forecasting tennis matches via the Glicko model by Yue, Jack C, Chou, Elizabeth P, Hsieh, Ming-Hui, Hsiao, Li-Chen

“…Tennis is a popular sport, and professional tennis matches are probably the most watched games globally. Many studies consider statistical or machine learning…”
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Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System Problems by Chou, Elizabeth P, Chen, Ting-Li, Fushing, Hsieh

“…For a large ensemble of complex systems, a Many-System Problem (MSP) studies how heterogeneity constrains and hides structural mechanisms, and how to uncover…”
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Mimicking Complexity of Structured Data Matrix's Information Content: Categorical Exploratory Data Analysis by Hsieh, Fushing, Chou, Elizabeth P, Chen, Ting-Li

“…We develop Categorical Exploratory Data Analysis (CEDA) with mimicking to explore and exhibit the complexity of information content that is contained within…”
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Long-term exposure to particulate matter was associated with increased dementia risk using both traditional approaches and novel machine learning methods by Yan, Yuan-Horng, Chen, Ting-Bin, Yang, Chun-Pai, Tsai, I-Ju, Yu, Hwa-Lung, Wu, Yuh-Shen, Huang, Winn-Jung, Tseng, Shih-Ting, Peng, Tzu-Yu, Chou, Elizabeth P.

“…Air pollution exposure has been linked to various diseases, including dementia. However, a novel method for investigating the associations between air…”
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A virtual multi-label approach to imbalanced data classification by Chou, Elizabeth P., Yang, Shan-Ping

“…One of the most challenging issues in machine learning is imbalanced data analysis. Usually, in this type of research, correctly predicting minority labels is…”
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Cosine similarity as a sample size-free measure to quantify phase clustering within a single neurophysiological signal by Chou, Elizabeth P., Hsu, Shen-Mou

“…•The existing measures of phase clustering suffer from sample size bias.•Cosine similarity (CS) is robust against sample size variation.•CS could detect…”
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Multiscale major factor selections for complex system data with structural dependency and heterogeneity by Fushing, Hsieh, Chou, Elizabeth P., Chen, Ting-Li

“…The unknown multiscale structure hidden in large complex systems is explored bottom-up through discovered heterogeneity under structural dependency embedded…”
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Unraveling implicit human behavioral effects on dynamic characteristics of Covid-19 daily infection rates in Taiwan by Ting-Li Chen, Elizabeth P Chou, Min-Yi Chen, Fushing Hsieh

“…We investigate the dynamic characteristics of Covid-19 daily infection rates in Taiwan during its initial surge period, focusing on 79 districts within the…”
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Categorical Exploratory Data Analysis: From Multiclass Classification and Response Manifold Analytics perspectives of baseball pitching dynamics by Hsieh, Fushing, Chou, Elizabeth P

“…From two coupled Multiclass Classification (MCC) and Response Manifold Analytics (RMA) perspectives, we develop Categorical Exploratory Data Analysis (CEDA) on…”
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Unraveling implicit human behavioral effects on dynamic characteristics of Covid-19 daily infection rates in Taiwan by Chen, Ting-Li, Chou, Elizabeth P, Chen, Min-Yi, Fushing, Hsieh

“…We study Covid-19 spreading dynamics underlying 84 curves of daily Covid-19 infection rates pertaining to 84 districts belonging to the largest seven cities in…”
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Learned practical guidelines for evaluating Conditional Entropy and Mutual Information in discovering major factors of response-vs-covariate dynamics by Chen, Ting-Li, Fushing, Hsieh, Chou, Elizabeth P

“…We reformulate and reframe a series of increasingly complex parametric statistical topics into a framework of response-vs-covariate (Re-Co) dynamics that is…”
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Dimension Reduction of High-Dimensional Datasets Based on Stepwise SVM by Chou, Elizabeth P, Ko, Tzu-Wei

“…The current study proposes a dimension reduction method, stepwise support vector machine (SVM), to reduce the dimensions of large p small n datasets. The…”
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Computed Data-Geometry Based Supervised and Semi-supervised Learning in High Dimensional Data by Chou, Elizabeth P., Fushing Hsieh, Capitanio, John

“…In most high dimensional settings, constructing supervised or semi-supervised learning rules has been facing various critically difficult issues, such as no…”
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