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Publication search results
found 559 matches
- 2024
- Cristina Anton, Iain Nicholas Smith:
Model-based clustering of functional data via mixtures of t distributions. Adv. Data Anal. Classif. 18(3): 563-595 (2024) - Abdullah Asilkalkan, Xuwen Zhu, Shuchismita Sarkar:
Finite mixture of hidden Markov models for tensor-variate time series data. Adv. Data Anal. Classif. 18(3): 545-562 (2024) - Marco Bee:
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach. Adv. Data Anal. Classif. 18(2): 251-269 (2024) - Luca Benedetti, Eric Boniardi, Leonardo Chiani, Jacopo Ghirri, Marta Mastropietro, Andrea Cappozzo, Francesco Denti:
Variational inference for semiparametric Bayesian novelty detection in large datasets. Adv. Data Anal. Classif. 18(3): 681-703 (2024) - Benedikt Boecking, Vincent Jeanselme, Artur Dubrawski:
Constrained clustering and multiple kernel learning without pairwise constraint relaxation. Adv. Data Anal. Classif. 18(2): 309-324 (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". Adv. Data Anal. Classif. 18(3): 539-543 (2024) - Ryan P. Browne, Luca Bagnato, Antonio Punzo:
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions. Adv. Data Anal. Classif. 18(3): 597-625 (2024) - Dries Cornilly, Lise Tubex, Stefan Van Aelst, Tim Verdonck:
Robust and sparse logistic regression. Adv. Data Anal. Classif. 18(3): 663-679 (2024) - Matteo Farnè:
Liszt's Étude S.136 no.1: audio data analysis of two different piano recordings. Adv. Data Anal. Classif. 18(3): 797-822 (2024) - Edoardo Fibbi, Domenico Perrotta, Francesca Torti, Stefan Van Aelst, Tim Verdonck:
Co-clustering contaminated data: a robust model-based approach. Adv. Data Anal. Classif. 18(1): 121-161 (2024) - Luis Angel García-Escudero, Salvatore Ingrassia, Thomas Brendan Murphy:
Special issue on "advances in models and learning for clustering and classification". Adv. Data Anal. Classif. 18(1): 1-4 (2024) - Vincenzo Giuseppe Genova, Giuseppe Giordano, Giancarlo Ragozini, Maria Prosperina Vitale:
An analytic strategy for data processing of multimode networks. Adv. Data Anal. Classif. 18(3): 745-767 (2024) - Michael Greenacre:
The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis. Adv. Data Anal. Classif. 18(3): 769-796 (2024) - Nam-Hwui Kim, Ryan P. Browne:
Flexible mixture regression with the generalized hyperbolic distribution. Adv. Data Anal. Classif. 18(1): 33-60 (2024) - Rolando Kindelan, José Frías, Mauricio Cerda, Nancy Hitschfeld:
A topological data analysis based classifier. Adv. Data Anal. Classif. 18(2): 493-538 (2024) - Miroslaw Krzysko, Lukasz Smaga:
Application of distance standard deviation in functional data analysis. Adv. Data Anal. Classif. 18(2): 431-454 (2024) - Björn-Hergen Laabs, Ana Westenberger, Inke R. König:
Identification of representative trees in random forests based on a new tree-based distance measure. Adv. Data Anal. Classif. 18(2): 363-380 (2024) - Stanislav Nagy, Houyem Demni, Davide Buttarazzi, Giovanni Camillo Porzio:
Theory of angular depth for classification of directional data. Adv. Data Anal. Classif. 18(3): 627-662 (2024) - 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. Adv. Data Anal. Classif. 18(2): 455-491 (2024) - Tin Lok James Ng, Andrew Zammit-Mangion:
Mixture modeling with normalizing flows for spherical density estimation. Adv. Data Anal. Classif. 18(1): 103-120 (2024) - Sangkon Oh, Byungtae Seo:
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors. Adv. Data Anal. Classif. 18(1): 5-31 (2024) - 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. Adv. Data Anal. Classif. 18(1): 193-217 (2024) - Katerina Pawlasová, Iva Karafiátová, Jirí Dvorák:
Neural networks with functional inputs for multi-class supervised classification of replicated point patterns. Adv. Data Anal. Classif. 18(3): 705-721 (2024) - Monia Ranalli, Roberto Rocci:
Composite likelihood methods for parsimonious model-based clustering of mixed-type data. Adv. Data Anal. Classif. 18(2): 381-407 (2024) - Maurizio Romano, Giulia Contu, Francesco Mola, Claudio Conversano:
Threshold-based Naïve Bayes classifier. Adv. Data Anal. Classif. 18(2): 325-361 (2024) - Payel Sadhukhan, Sarbani Palit:
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data. Adv. Data Anal. Classif. 18(3): 723-744 (2024) - Alberto Silva, Adelaide Freitas:
An enhanced version of the SSA-HJ-biplot for time series with complex structure. Adv. Data Anal. Classif. 18(2): 409-430 (2024) - Salvatore D. Tomarchio, Luca Bagnato, Antonio Punzo:
Model-based clustering using a new multivariate skew distribution. Adv. Data Anal. Classif. 18(1): 61-83 (2024) - Félix Vandervorst, Wouter Verbeke, Tim Verdonck:
Claims fraud detection with uncertain labels. Adv. Data Anal. Classif. 18(1): 219-243 (2024) - Donatella Vicari, Cinzia Di Nuzzo:
A between-cluster approach for clustering skew-symmetric data. Adv. Data Anal. Classif. 18(1): 163-192 (2024)
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