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Image generator for tabular data based on non-Euclidean metrics for CNN-based classification |
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| 2025-12 |
切片逆區間估計之充分維度縮減法：象徵型資料分析的一個應用 |
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| 2024-12 |
Image generator for tabular data based on non-Euclidean metrics for CNN-based deep learning classification |
conference |
pdf(56) |
| 2024-08 |
Converting tabular data into images based on Self-Organizing Maps for CNNs deep learning prediction |
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| 2024-06 |
Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach |
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| 2023-08 |
dataSDA and ggESDA: two R packages for exploratory symbolic data analysis |
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| 2023-06 |
象徵性資料分析法於電信信令資料的矩陣視覺化與分群 |
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| 2022-12 |
Improve the performance of deep learning algorithms by supervised dimension reduction methods |
conference |
pdf(258) |
| 2022-09 |
Book Review: Supervised machine learning for text analysis in R by Emil Hvitfeldt and Julia Silge |
article |
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| 2021-07 |
A symbolic data analysis approach to regularized sliced inverse regression for gene expression data with multiple functional categories and a phenotypic response |
conference |
pdf(487) |
| 2021-06 |
基於類別資訊的監督式t分布隨機鄰近嵌入法於維度縮減與視覺化之研究 |
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| 2020-01 |
Dimension reduction and visualization of symbolic interval-valued data using sliced inverse regression |
book/chapter |
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| 2019-08 |
My experience of teaching R programming for data science |
conference |
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| 2019-03 |
地標等軸距模糊切片逆回歸法及其於醫學影像切割的應用 |
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| 2018-12 |
以維度縮減技術為基礎的互動式探索性資料分析平臺 |
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pdf(444) |
| 2018-11 |
Matrix visualization: a review and perspective |
conference |
pdf(452) |
| 2018-10 |
Covariate-adjusted heatmaps for visualizing biological data via correlation decomposition |
article |
pdf(714) |
| 2018-08 |
The extension of isometric feature mapping for interval-valued symbolic data |
conference |
說明頁(560) |
| 2014-11 |
Exploratory data analysis of interval-valued symbolic data with matrix visualization |
article |
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| 2013-09 |
應用切片逆迴歸法於區間型符號資料之維度縮減 |
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| 2013-09 |
Isometric sliced inverse regression for nonlinear manifolds learning |
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