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Publication search results
found 38 matches
- 2020
- Omid M. Ardakani, Majid Asadi, Nader Ebrahimi, Ehsan S. Soofi:
MR plot: A big data tool for distinguishing distributions. Stat. Anal. Data Min. 13(4): 405-418 (2020) - Buddhananda Banerjee, Arnab K. Laha, Arjun Lakra:
Data-driven dimension reduction in functional principal component analysis identifying the change-point in functional data. Stat. Anal. Data Min. 13(6): 529-536 (2020) - Margaret Betz, Ellen Gundlach, Elizabett Hillery, Jenna L. Rickus, Mark Daniel Ward:
The next wave: We will all be data scientists. Stat. Anal. Data Min. 13(6): 544-547 (2020) - Belgin Ergenç Bostanoglu, Ahmet Cumhur Öztürk:
Minimizing information loss in shared data: Hiding frequent patterns with multiple sensitive support thresholds. Stat. Anal. Data Min. 13(4): 309-323 (2020) - Haiyan Cai, Bryan Goggin, Qingtang Jiang:
Two-sample test based on classification probability. Stat. Anal. Data Min. 13(1): 5-13 (2020) - Jirí Dvorák, Sárka Hudecová, Stanislav Nagy:
Clover plot: Versatile visualization in nonparametric classification. Stat. Anal. Data Min. 13(6): 548-564 (2020) - Mohamad A. Fawzy:
Prediction of Kumaraswamy distribution in constant-stress model based on type-I hybrid censored data. Stat. Anal. Data Min. 13(3): 205-215 (2020) - Nathaniel Garton, Jarad Niemi, Alicia L. Carriquiry:
Knot selection in sparse Gaussian processes with a variational objective function. Stat. Anal. Data Min. 13(4): 324-336 (2020) - Alastair Gregory, Kaushik Jana:
Space-efficient estimation of empirical tail dependence coefficients for bivariate data streams. Stat. Anal. Data Min. 13(1): 14-30 (2020) - Guan-Hua Huang, Chih-Hsuan Lin, Yu-Ren Cai, Tai-Been Chen, Shih-Yen Hsu, Nan-Han Lu, Huei-Yung Chen, Yi-Chen Wu:
Multiclass machine learning classification of functional brain images for Parkinson's disease stage prediction. Stat. Anal. Data Min. 13(5): 508-523 (2020) - Agnieszka Jastrzebska:
Lagged encoding for image-based time series classification using convolutional neural networks. Stat. Anal. Data Min. 13(3): 245-260 (2020) - Zhi Ji, Yang Wei, Zhouping Li:
SURE estimates for high dimensional classification. Stat. Anal. Data Min. 13(5): 423-436 (2020) - Luann C. Jung, Haiyan Wang, Xukun Li, Cen Wu:
A machine learning method for selection of genetic variants to increase prediction accuracy of type 2 diabetes mellitus using sequencing data. Stat. Anal. Data Min. 13(3): 261-281 (2020) - Yanfei Kang, Rob J. Hyndman, Feng Li:
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. Stat. Anal. Data Min. 13(4): 354-376 (2020) - Timothy J. Kiely, Nathaniel D. Bastian:
The spatially conscious machine learning model. Stat. Anal. Data Min. 13(1): 31-49 (2020) - Taylor Larkin, Denise Johnson McManus:
An analytical toast to wine: Using stacked generalization to predict wine preference. Stat. Anal. Data Min. 13(5): 451-464 (2020) - Tri Le, Bertrand S. Clarke:
In praise of partially interpretable predictors. Stat. Anal. Data Min. 13(2): 113-133 (2020) - Jiaxi Liang, Shoja'eddin Chenouri, Christopher G. Small:
A new method for performance analysis in nonlinear dimensionality reduction. Stat. Anal. Data Min. 13(1): 98-108 (2020) - Zhenfeng Lin, James P. Long:
A flexible procedure for mixture proportion estimation in positive-unlabeled learning. Stat. Anal. Data Min. 13(2): 178-187 (2020) - Andrea Martino, Giuseppina Guatteri, Anna Maria Paganoni:
Multivariate Hidden Markov Models for disease progression. Stat. Anal. Data Min. 13(5): 499-507 (2020) - Giovanna Menardi:
Nonparametric clustering for image segmentation. Stat. Anal. Data Min. 13(1): 83-97 (2020) - Shapour Mohammadi:
Neural network for univariate and multivariate nonlinearity tests. Stat. Anal. Data Min. 13(1): 50-70 (2020) - Shariq Mohammed, Dipak K. Dey, Yuping Zhang:
Classification of high-dimensional electroencephalography data with location selection using structured spike-and-slab prior. Stat. Anal. Data Min. 13(5): 465-481 (2020) - Fatemeh Najafi, Hamid Parvin, Kamal Mirzaie, Samad Nejatian, Vahideh Rezaie:
Dependability-based cluster weighting in clustering ensemble. Stat. Anal. Data Min. 13(2): 151-164 (2020) - Marzena Nowakowska, Karolina Beben, Michal Pajecki:
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. Stat. Anal. Data Min. 13(5): 482-498 (2020) - Soyoung Park, Alicia L. Carriquiry:
An algorithm to compare two-dimensional footwear outsole images using maximum cliques and speeded-up robust feature. Stat. Anal. Data Min. 13(2): 188-199 (2020) - Heather G. Patsolic, Youngser Park, Vince Lyzinski, Carey E. Priebe:
Vertex nomination via seeded graph matching. Stat. Anal. Data Min. 13(3): 229-244 (2020) - David Pritchard, Yufeng Liu:
Composite quantile-based classifiers. Stat. Anal. Data Min. 13(4): 337-353 (2020) - Andrew J. Sage, Ulrike Genschel, Dan Nettleton:
Tree aggregation for random forest class probability estimation. Stat. Anal. Data Min. 13(2): 134-150 (2020) - Wenhui Sheng, Qingcong Yuan:
Sufficient dimension folding in regression via distance covariance for matrix-valued predictors. Stat. Anal. Data Min. 13(1): 71-82 (2020)
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