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Publication search results
found 43 matches
- 2020
- Ahmad Ali Abin, Mohammad Ali Bashiri, Hamid Beigy:
Learning a metric when clustering data points in the presence of constraints. Adv. Data Anal. Classif. 14(1): 29-56 (2020) - Ana Isabel Aguilera, Alberto Rafael Subero:
Automatic gait classification patterns in spastic hemiplegia. Adv. Data Anal. Classif. 14(4): 897-925 (2020) - Laura Anderlucci, Cinzia Viroli:
Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data. Adv. Data Anal. Classif. 14(4): 759-770 (2020) - Jorge M. Arevalillo, Hilario Navarro:
Data projections by skewness maximization under scale mixtures of skew-normal vectors. Adv. Data Anal. Classif. 14(2): 435-461 (2020) - Christophe Biernacki, Luis Angel García-Escudero, Salvatore Ingrassia:
Special issue on "Innovations on model based clustering and classification". Adv. Data Anal. Classif. 14(2): 231-234 (2020) - Víctor Blanco, Alberto Japón, Justo Puerto:
Optimal arrangements of hyperplanes for SVM-based multiclass classification. Adv. Data Anal. Classif. 14(1): 175-199 (2020) - Johannes Blömer, Sascha Brauer, Kathrin Bujna, Daniel Kuntze:
How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models. Adv. Data Anal. Classif. 14(1): 147-173 (2020) - Jorge Caiado, Nuno Crato, Pilar Poncela:
A fragmented-periodogram approach for clustering big data time series. Adv. Data Anal. Classif. 14(1): 117-146 (2020) - Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy:
A robust approach to model-based classification based on trimming and constraints. Adv. Data Anal. Classif. 14(2): 327-354 (2020) - Carlo Cavicchia, Maurizio Vichi, Giorgia Zaccaria:
The ultrametric correlation matrix for modelling hierarchical latent concepts. Adv. Data Anal. Classif. 14(4): 837-853 (2020) - Ikram Chaabane, Radhouane Guermazi, Mohamed Hammami:
Enhancing techniques for learning decision trees from imbalanced data. Adv. Data Anal. Classif. 14(3): 677-745 (2020) - Nathan Cunningham, Jim E. Griffin, David L. Wild:
ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification. Adv. Data Anal. Classif. 14(2): 463-484 (2020) - Cristina Davino, Rosaria Romano, Domenico Vistocco:
On the use of quantile regression to deal with heterogeneity: the case of multi-block data. Adv. Data Anal. Classif. 14(4): 771-784 (2020) - Cornelia Fuetterer, Thomas Augustin, Christiane Fuchs:
Adapted single-cell consensus clustering (adaSC3). Adv. Data Anal. Classif. 14(4): 885-896 (2020) - Giuliano Galimberti, Gabriele Soffritti:
Seemingly unrelated clusterwise linear regression. Adv. Data Anal. Classif. 14(2): 235-260 (2020) - Michael P. B. Gallaugher, Paul D. McNicholas:
Mixtures of skewed matrix variate bilinear factor analyzers. Adv. Data Anal. Classif. 14(2): 415-434 (2020) - Mark Gromowski, Michael Siebers, Ute Schmid:
A process framework for inducing and explaining Datalog theories. Adv. Data Anal. Classif. 14(4): 821-835 (2020) - Khadidja Henni, Pierre-Yves Louis, Brigitte Vannier, Ahmed Moussa:
Is-ClusterMPP: clustering algorithm through point processes and influence space towards high-dimensional data. Adv. Data Anal. Classif. 14(3): 543-570 (2020) - Alexander Katzur, Udo Kamps:
Classification using sequential order statistics. Adv. Data Anal. Classif. 14(1): 201-230 (2020) - Zardad Khan, Asma Gul, Aris Perperoglou, Miftahuddin Miftahuddin, Osama Mahmoud, Werner Adler, Berthold Lausen:
Ensemble of optimal trees, random forest and random projection ensemble classification. Adv. Data Anal. Classif. 14(1): 97-116 (2020) - Ludwig Lausser, Robin Szekely, Hans A. Kestler:
Chained correlations for feature selection. Adv. Data Anal. Classif. 14(4): 871-884 (2020) - Nan-Ting Liu, Feng-Chang Lin, Yu-Shan Shih:
Count regression trees. Adv. Data Anal. Classif. 14(1): 5-27 (2020) - Rosaria Lombardo, Yoshio Takane, Eric J. Beh:
Familywise decompositions of Pearson's chi-square statistic in the analysis of contingency tables. Adv. Data Anal. Classif. 14(3): 629-649 (2020) - Lukás Malec, Vladimír Janovský:
Connecting the multivariate partial least squares with canonical analysis: a path-following approach. Adv. Data Anal. Classif. 14(3): 589-609 (2020) - Vasileios Maroulas, Cassie Putman Micucci, Adam Spannaus:
A stable cardinality distance for topological classification. Adv. Data Anal. Classif. 14(3): 611-628 (2020) - Semhar Michael, Tatjana Miljkovic, Volodymyr Melnykov:
Mixture modeling of data with multiple partial right-censoring levels. Adv. Data Anal. Classif. 14(2): 355-378 (2020) - Elson Claudio Correa Moraes, Danton Diego Ferreira, Giovani Bernardes Vitor, Bruno Henrique Groenner Barbosa:
Data clustering based on principal curves. Adv. Data Anal. Classif. 14(1): 77-96 (2020) - Keefe Murphy, Thomas Brendan Murphy:
Gaussian parsimonious clustering models with covariates and a noise component. Adv. Data Anal. Classif. 14(2): 293-325 (2020) - Kamila Migdal Najman, Krzysztof Najman, Sylwia Badowska:
The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers. Adv. Data Anal. Classif. 14(4): 947-982 (2020) - Atsuho Nakayama, Daniel Baier:
Predicting brand confusion in imagery markets based on deep learning of visual advertisement content. Adv. Data Anal. Classif. 14(4): 927-945 (2020)
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