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ORCIDAdvances in Data Analysis and Classification, Volume 15
Volume 15, Number 1, March 2021
- Maurizio Vichi, Andrea Cerioli, Hans A. Kestler
, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 1 of volume 15 (2021). 1-4 - Xin Zhao, Stuart Barber, Charles C. Taylor, Zoka Milan:
Interval forecasts based on regression trees for streaming data. 5-36 - Tatiana Makhalova, Martin Trnecka:
From-below Boolean matrix factorization algorithm based on MDL. 37-56 - Tingting Huang, Gilbert Saporta, Huiwen Wang, Shanshan Wang:
A robust spatial autoregressive scalar-on-function regression with t-distribution. 57-81 - Rudolf Scitovski, Kristian Sabo:
A combination of k-means and DBSCAN algorithm for solving the multiple generalized circle detection problem. 83-98 - Lazhar Labiod, Mohamed Nadif:
Efficient regularized spectral data embedding. 99-119 - Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel:
A cost-sensitive constrained Lasso. 121-158 - Huimin Pei, Qiang Lin, Liran Yang, Ping Zhong:
A novel semi-supervised support vector machine with asymmetric squared loss. 159-191 - Matthijs J. Warrens:
Kappa coefficients for dichotomous-nominal classifications. 193-208 - Tyler Roick, Dimitris Karlis, Paul D. McNicholas:
Clustering discrete-valued time series. 209-229 - Léna Carel, Pierre Alquier:
Simultaneous dimension reduction and clustering via the NMF-EM algorithm. 231-260
Volume 15, Number 2, June 2021
- Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 2 of volume 15 (2021). 261-265 - Beatriz Sinova, Stefan Van Aelst, Pedro Terán:
M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data. 267-288 - David Conde, Miguel Alejandro Fernández, Cristina Rueda, Bonifacio Salvador:
Isotonic boosting classification rules. 289-313 - Giovanni De Luca, Paola Zuccolotto:
Regime dependent interconnectedness among fuzzy clusters of financial time series. 315-336 - Samah Hijazi, Denis Hamad, Mariam Kalakech, Ali Kalakech:
Active learning of constraints for weighted feature selection. 337-377 - Thiago Salles, Leonardo Rocha, Marcos André Gonçalves:
A bias-variance analysis of state-of-the-art random forest text classifiers. 379-405 - Kadri Umbleja, Manabu Ichino, Hiroyuki Yaguchi:
Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data. 407-436 - Guillermo Vinué, Irene Epifanio:
Robust archetypoids for anomaly detection in big functional data. 437-462 - André Müller, Ludwig Lausser, Adalbert F. X. Wilhelm, Timo Ropinski, Matthias Platzer, Heiko Neumann, Hans A. Kestler:
A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data. 463-480 - Sharon X. Lee, Tsung-I Lin, Geoffrey J. McLachlan:
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. 481-512 - Natasa Kejzar, Simona Korenjak-Cerne, Vladimir Batagelj:
Clustering of modal-valued symbolic data. 513-541
Volume 15, Number 3, September 2021
- Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 3 of volume 15 (2021). 543-546 - Alvaro Mendez-Civieta, M. Carmen Aguilera-Morillo, Rosa E. Lillo:
Adaptive sparse group LASSO in quantile regression. 547-573 - Parvaneh Parvasideh, Mansoor Rezghi:
A novel dictionary learning method based on total least squares approach with application in high dimensional biological data. 575-597 - Alessandro Casa, Luca Scrucca, Giovanna Menardi:
Better than the best? Answers via model ensemble in density-based clustering. 599-623 - David Degras:
Sparse group fused lasso for model segmentation: a hybrid approach. 625-671 - Cheongjae Jang, Yung-Kyun Noh, Frank Chongwoo Park:
A Riemannian geometric framework for manifold learning of non-Euclidean data. 673-699 - Elena Castilla, Abhik Ghosh, Nirian Martín, Leandro Pardo:
Robust semiparametric inference for polytomous logistic regression with complex survey design. 701-734 - Alex Sharp, Ryan P. Browne:
Functional data clustering by projection into latent generalized hyperbolic subspaces. 735-757 - David Aristei, Silvia Bacci, Francesco Bartolucci, Silvia Pandolfi:
A bivariate finite mixture growth model with selection. 759-793 - Shuichi Kawano:
Sparse principal component regression via singular value decomposition approach. 795-823
Volume 15, Number 4, December 2021
- Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 4 of volume 15 (2021). 825-828 - Alexandre L. M. Levada:
PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning. 829-868 - Nikola Stefelová, Andreas Alfons, Javier Palarea-Albaladejo, Peter Filzmoser, Karel Hron:
Robust regression with compositional covariates including cellwise outliers. 869-909 - Roberto Medico, Joeri Ruyssinck, Dirk Deschrijver, Tom Dhaene:
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification. 911-936 - Eliana Christou, Annabel Settle, Andreas Artemiou:
Nonlinear dimension reduction for conditional quantiles. 937-956 - Etienne Côme, Nicolas Jouvin, Pierre Latouche, Charles Bouveyron:
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood. 957-986 - Zaheer Ahmed, Alberto Cassese, Gerard J. P. Van Breukelen, Jan Schepers:
REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction. 987-1013 - Antonella Plaia, Simona Buscemi, Mariangela Sciandra:
Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings. 1015-1037 - Malgorzata Lazecka, Jan Mielniczuk, Pawel Teisseyre:
Estimating the class prior for positive and unlabelled data via logistic regression. 1039-1068 - Andri Mirzal:
A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization. 1069-1102
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