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ORCIDAdvances in Data Analysis and Classification, Volume 18
Volume 18, Number 1, March 2024
- Luis Angel García-Escudero, Salvatore Ingrassia, Thomas Brendan Murphy:
Special issue on "advances in models and learning for clustering and classification". 1-4 - Sangkon Oh, Byungtae Seo:
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors. 5-31 - Nam-Hwui Kim
, Ryan P. Browne:
Flexible mixture regression with the generalized hyperbolic distribution. 33-60 - Salvatore D. Tomarchio, Luca Bagnato, Antonio Punzo:
Model-based clustering using a new multivariate skew distribution. 61-83 - Xuwen Zhu, Yana Melnykov, Angelina S. Kolomoytseva:
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter. 85-101 - Tin Lok James Ng, Andrew Zammit-Mangion:
Mixture modeling with normalizing flows for spherical density estimation. 103-120 - Edoardo Fibbi, Domenico Perrotta, Francesca Torti, Stefan Van Aelst, Tim Verdonck:
Co-clustering contaminated data: a robust model-based approach. 121-161 - Donatella Vicari, Cinzia Di Nuzzo:
A between-cluster approach for clustering skew-symmetric data. 163-192 - Gian Marco Paldino, Bertrand Lebichot, Yann-Aël Le Borgne, Wissam Siblini, Frédéric Oblé, Giacomo Boracchi, Gianluca Bontempi:
The role of diversity and ensemble learning in credit card fraud detection. 193-217 - Félix Vandervorst, Wouter Verbeke, Tim Verdonck:
Claims fraud detection with uncertain labels. 219-243
Volume 18, Number 2, June 2024
- Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 2 of volume 18 (2024). 245-249 - Marco Bee:
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach. 251-269 - Wan-Lun Wang, Yu-Chen Yang, Tsung-I Lin:
Extending finite mixtures of nonlinear mixed-effects models with covariate-dependent mixing weights. 271-307 - Benedikt Boecking, Vincent Jeanselme, Artur Dubrawski:
Constrained clustering and multiple kernel learning without pairwise constraint relaxation. 309-324 - Maurizio Romano, Giulia Contu, Francesco Mola, Claudio Conversano:
Threshold-based Naïve Bayes classifier. 325-361 - Björn-Hergen Laabs, Ana Westenberger, Inke R. König:
Identification of representative trees in random forests based on a new tree-based distance measure. 363-380 - Monia Ranalli, Roberto Rocci:
Composite likelihood methods for parsimonious model-based clustering of mixed-type data. 381-407 - Alberto Silva, Adelaide Freitas:
An enhanced version of the SSA-HJ-biplot for time series with complex structure. 409-430 - Miroslaw Krzysko, Lukasz Smaga:
Application of distance standard deviation in functional data analysis. 431-454 - Paul de Nailly, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere, Yasmine Merad-Boudia:
Multivariate count time series segmentation with "sums and shares" and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub. 455-491 - Rolando Kindelan, José Frías, Mauricio Cerda, Nancy Hitschfeld:
A topological data analysis based classifier. 493-538
Volume 18, Number 3, September 2024
- Paula Brito, Andrea Cerioli, Luis Angel García-Escudero, Gilbert Saporta:
Special issue on "New methodologies in clustering and classification for complex and/or big data". 539-543 - Abdullah Asilkalkan, Xuwen Zhu, Shuchismita Sarkar:
Finite mixture of hidden Markov models for tensor-variate time series data. 545-562 - Cristina Anton, Iain Nicholas Smith:
Model-based clustering of functional data via mixtures of t distributions. 563-595 - Ryan P. Browne, Luca Bagnato, Antonio Punzo:
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions. 597-625 - Stanislav Nagy, Houyem Demni, Davide Buttarazzi, Giovanni Camillo Porzio:
Theory of angular depth for classification of directional data. 627-662 - Dries Cornilly, Lise Tubex, Stefan Van Aelst, Tim Verdonck:
Robust and sparse logistic regression. 663-679 - Luca Benedetti, Eric Boniardi, Leonardo Chiani, Jacopo Ghirri, Marta Mastropietro, Andrea Cappozzo, Francesco Denti:
Variational inference for semiparametric Bayesian novelty detection in large datasets. 681-703 - Katerina Pawlasová, Iva Karafiátová, Jirí Dvorák:
Neural networks with functional inputs for multi-class supervised classification of replicated point patterns. 705-721 - Payel Sadhukhan, Sarbani Palit:
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data. 723-744 - Vincenzo Giuseppe Genova, Giuseppe Giordano, Giancarlo Ragozini, Maria Prosperina Vitale:
An analytic strategy for data processing of multimode networks. 745-767 - Michael Greenacre:
The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis. 769-796 - Matteo Farnè:
Liszt's Étude S.136 no.1: audio data analysis of two different piano recordings. 797-822
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