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Statistical Analysis and Data Mining, Volume 13
Volume 13, Number 1, February 2020
- Haiyan Cai
, Bryan Goggin, Qingtang Jiang
Two-sample test based on classification probability. 5-13 - Alastair Gregory
Space-efficient estimation of empirical tail dependence coefficients for bivariate data streams. 14-30 - Timothy J. Kiely, Nathaniel D. Bastian
The spatially conscious machine learning model. 31-49 - Shapour Mohammadi
Neural network for univariate and multivariate nonlinearity tests. 50-70 - Wenhui Sheng
Sufficient dimension folding in regression via distance covariance for matrix-valued predictors. 71-82 - Giovanna Menardi
Nonparametric clustering for image segmentation. 83-97 - Jiaxi Liang, Shoja'eddin Chenouri
A new method for performance analysis in nonlinear dimensionality reduction. 98-108
Volume 13, Number 2, April 2020
- Tri Le
In praise of partially interpretable predictors. 113-133 - Andrew J. Sage
Tree aggregation for random forest class probability estimation. 134-150 - Fatemeh Najafi
Dependability-based cluster weighting in clustering ensemble. 151-164 - Ling Wang
Hybrid dynamic learning mechanism for multivariate time series segmentation. 165-177
- Zhenfeng Lin
A flexible procedure for mixture proportion estimation in positive-unlabeled learning. 178-187
- Soyoung Park
An algorithm to compare two-dimensional footwear outsole images using maximum cliques and speeded-up robust feature. 188-199
Volume 13, Number 3, June 2020
- Mohamad A. Fawzy
Prediction of Kumaraswamy distribution in constant-stress model based on type-I hybrid censored data. 205-215
- Xiaoying Zhou, Feipeng Zhang
Bent line quantile regression via a smoothing technique. 216-228 - Heather G. Patsolic
Vertex nomination via seeded graph matching. 229-244 - Agnieszka Jastrzebska
Lagged encoding for image-based time series classification using convolutional neural networks. 245-260 - Luann C. Jung, Haiyan Wang
A machine learning method for selection of genetic variants to increase prediction accuracy of type 2 diabetes mellitus using sequencing data. 261-281 - Vanha Tran
Delaunay triangulation-based spatial colocation pattern mining without distance thresholds. 282-304
Volume 13, Number 4, August 2020
- Belgin Ergenç Bostanoglu
Minimizing information loss in shared data: Hiding frequent patterns with multiple sensitive support thresholds. 309-323 - Nathaniel Garton
Knot selection in sparse Gaussian processes with a variational objective function. 324-336 - David Pritchard, Yufeng Liu
Composite quantile-based classifiers. 337-353 - Yanfei Kang
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. 354-376 - Youjiao Yu, Brian P. Gorman, Amanda S. Hering
Objective identification of local spatial structure for material characterization. 377-393
- Deepika Singh
Weighted k-nearest neighbor based data complexity metrics for imbalanced datasets. 394-404
- Omid M. Ardakani
MR plot: A big data tool for distinguishing distributions. 405-418
Volume 13, Number 5, October 2020
- Zhi Ji, Yang Wei, Zhouping Li
SURE estimates for high dimensional classification. 423-436 - Yufei Wu, Guan Yu
Weighted linear programming discriminant analysis for high-dimensional binary classification. 437-450 - Taylor Larkin
An analytical toast to wine: Using stacked generalization to predict wine preference. 451-464 - Shariq Mohammed
Classification of high-dimensional electroencephalography data with location selection using structured spike-and-slab prior. 465-481 - Marzena Nowakowska
Use of data mining in a two-step process of profiling student preferences in relation to the enhancement of English as a foreign language teaching. 482-498 - Andrea Martino
Multivariate Hidden Markov Models for disease progression. 499-507 - Guan-Hua Huang
Multiclass machine learning classification of functional brain images for Parkinson's disease stage prediction. 508-523
Volume 13, Number 6, December 2020
Rapid Research Article
- Buddhananda Banerjee
Data-driven dimension reduction in functional principal component analysis identifying the change-point in functional data. 529-536
- John Sperger
The future of precision health is data-driven decision support. 537-543 - Margaret Betz, Ellen Gundlach
The next wave: We will all be data scientists. 544-547 - Jirí Dvorák
Clover plot: Versatile visualization in nonparametric classification. 548-564 - Chih-Fong Tsai
Two-stage hybrid learning techniques for bankruptcy prediction. 565-572
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