Online first articles

Articles not assigned to an issue 24 articles

Nonlinear dimension reduction for conditional quantiles

Authors
- Eliana Christou
- Annabel Settle
- Andreas Artemiou
- Content type: Regular Article
- Published: 23 March 2021
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification

Authors (first, second and last of 4)
- Roberto Medico
- Joeri Ruyssinck
- Tom Dhaene
- Content type: Regular Article
- Published: 04 March 2021
Robust regression with compositional covariates including cellwise outliers

Authors (first, second and last of 5)
- Nikola Štefelová
- Andreas Alfons
- Karel Hron
- Content type: Regular Article
- Open Access
- Published: 24 February 2021
Sparse principal component regression via singular value decomposition approach

Authors
- Shuichi Kawano
- Content type: Regular Article
- Open Access
- Published: 08 February 2021
PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning

Authors
- Alexandre L. M. Levada
- Content type: Regular Article
- Published: 07 January 2021
Functional data clustering by projection into latent generalized hyperbolic subspaces

Authors
- Alex Sharp
- Ryan Browne
- Content type: Regular Article
- Published: 07 January 2021
A bivariate finite mixture growth model with selection

Authors (first, second and last of 4)
- David Aristei
- Silvia Bacci
- Silvia Pandolfi
- Content type: Regular Article
- Open Access
- Published: 29 December 2020
A Riemannian geometric framework for manifold learning of non-Euclidean data

Authors
- Cheongjae Jang
- Yung-Kyun Noh
- Frank Chongwoo Park
- Content type: Regular Article
- Published: 27 November 2020
Robust semiparametric inference for polytomous logistic regression with complex survey design

Authors (first, second and last of 4)
- Elena Castilla
- Abhik Ghosh
- Leandro Pardo
- Content type: Regular Article
- Published: 23 November 2020
Special issue on “Learning in data science: theory, methods and applications”—preface by the guest editors

Authors (first, second and last of 4)
- Daniel Baier
- Berthold Lausen
- Ute Schmid
- Content type: Editorial
- Published: 18 November 2020
Clustering of modal-valued symbolic data

Authors
- Nataša Kejžar
- Simona Korenjak-Černe
- Vladimir Batagelj
- Content type: Regular Article
- Published: 24 October 2020
Sparse group fused lasso for model segmentation: a hybrid approach

Authors
- David Degras
- Content type: Regular Article
- Published: 22 October 2020
Better than the best? Answers via model ensemble in density-based clustering

Authors
- Alessandro Casa
- Luca Scrucca
- Giovanna Menardi
- Content type: Regular Article
- Open Access
- Published: 02 October 2020
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions

Authors
- Sharon X. Lee
- Tsung-I Lin
- Geoffrey J. McLachlan
- Content type: Regular Article
- Published: 02 September 2020
A novel dictionary learning method based on total least squares approach with application in high dimensional biological data

Authors
- Parvaneh Parvasideh
- Mansoor Rezghi
- Content type: Regular Article
- Published: 02 September 2020
A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data

Authors (first, second and last of 7)
- André Müller
- Ludwig Lausser
- Hans A. Kestler
- Content type: Regular Article
- Open Access
- Published: 18 August 2020
Robust archetypoids for anomaly detection in big functional data

Authors
- Guillermo Vinue
- Irene Epifanio
- Content type: Regular Article
- Published: 03 August 2020
Adaptive sparse group LASSO in quantile regression

Authors
- Alvaro Mendez-Civieta
- M. Carmen Aguilera-Morillo
- Rosa E. Lillo
- Content type: Regular Article
- Published: 29 July 2020
Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data

Authors
- Kadri Umbleja
- Manabu Ichino
- Hiroyuki Yaguchi
- Content type: Regular Article
- Published: 22 July 2020
A bias-variance analysis of state-of-the-art random forest text classifiers

Authors
- Thiago Salles
- Leonardo Rocha
- Marcos Gonçalves
- Content type: Regular Article
- Published: 19 July 2020
Active learning of constraints for weighted feature selection

Authors (first, second and last of 4)
- Samah Hijazi
- Denis Hamad
- Ali Kalakech
- Content type: Regular Article
- Published: 10 July 2020
Regime dependent interconnectedness among fuzzy clusters of financial time series

Authors
- Giovanni De Luca
- Paola Zuccolotto
- Content type: Regular Article
- Published: 16 June 2020
Isotonic boosting classification rules

Authors (first, second and last of 4)
- David Conde
- Miguel A. Fernández
- Bonifacio Salvador
- Content type: Regular Article
- Published: 12 June 2020
M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data

Authors
- Beatriz Sinova
- Stefan Van Aelst
- Pedro Terán
- Content type: Regular Article
- Published: 12 June 2020

Online first articles

Articles not assigned to an issue 24 articles

Nonlinear dimension reduction for conditional quantiles

Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification

Robust regression with compositional covariates including cellwise outliers

Sparse principal component regression via singular value decomposition approach

PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning

Functional data clustering by projection into latent generalized hyperbolic subspaces

A bivariate finite mixture growth model with selection

A Riemannian geometric framework for manifold learning of non-Euclidean data

Robust semiparametric inference for polytomous logistic regression with complex survey design

Special issue on “Learning in data science: theory, methods and applications”—preface by the guest editors

Clustering of modal-valued symbolic data

Sparse group fused lasso for model segmentation: a hybrid approach

Better than the best? Answers via model ensemble in density-based clustering

Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions

A novel dictionary learning method based on total least squares approach with application in high dimensional biological data

A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data

Robust archetypoids for anomaly detection in big functional data

Adaptive sparse group LASSO in quantile regression

Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data

A bias-variance analysis of state-of-the-art random forest text classifiers

Active learning of constraints for weighted feature selection

Regime dependent interconnectedness among fuzzy clusters of financial time series

Isotonic boosting classification rules

M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data

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