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Publication search results
found 43 matches
- 2023
- Christian Acal, Ana M. Aguilera:
Basis expansion approaches for functional analysis of variance with repeated measures. Adv. Data Anal. Classif. 17(2): 291-321 (2023) - Javier Albert-Smet, Aurora Torrente, Juan Romo:
Band depth based initialization of K-means for functional data clustering. Adv. Data Anal. Classif. 17(2): 463-484 (2023) - Summer Atkins, Gudmundur Einarsson, Line Harder Clemmensen, Brendan P. W. Ames:
Proximal methods for sparse optimal scoring and discriminant analysis. Adv. Data Anal. Classif. 17(4): 983-1036 (2023) - Vincent Audigier, Ndèye Niang:
Clustering with missing data: which equivalent for Rubin's rules? Adv. Data Anal. Classif. 17(3): 623-657 (2023) - Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes:
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering. Adv. Data Anal. Classif. 17(4): 859-896 (2023) - Boris Beranger, Huan Lin, Scott A. Sisson:
New models for symbolic data analysis. Adv. Data Anal. Classif. 17(3): 659-699 (2023) - Marco Berrettini, Giuliano Galimberti, Saverio Ranciati:
Semiparametric finite mixture of regression models with Bayesian P-splines. Adv. Data Anal. Classif. 17(3): 745-775 (2023) - Xavier Bry, Ndèye Niang, Thomas Verron, Stéphanie Bougeard:
Clusterwise elastic-net regression based on a combined information criterion. Adv. Data Anal. Classif. 17(1): 75-107 (2023) - Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales:
On mathematical optimization for clustering categories in contingency tables. Adv. Data Anal. Classif. 17(2): 407-429 (2023) - José E. Chacón, Ana I. Rastrojo:
Minimum adjusted Rand index for two clusterings of a given size. Adv. Data Anal. Classif. 17(1): 125-133 (2023) - Marie du Roy de Chaumaray, Matthieu Marbac:
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components. Adv. Data Anal. Classif. 17(4): 1081-1122 (2023) - Efthymios Costa, Ioanna Papatsouma, Angelos I. Markos:
Benchmarking distance-based partitioning methods for mixed-type data. Adv. Data Anal. Classif. 17(3): 701-724 (2023) - Antonio Elías, Raúl Jiménez, Joseph E. Yukich:
Localization processes for functional data analysis. Adv. Data Anal. Classif. 17(2): 485-517 (2023) - Federico Ferraccioli, Giovanna Menardi:
Modal clustering of matrix-variate data. Adv. Data Anal. Classif. 17(2): 323-345 (2023) - Nerea González-García, Ana Belén Nieto-Librero, Purificación Galindo Villardon:
CenetBiplot: a new proposal of sparse and orthogonal biplots methods by means of elastic net CSVD. Adv. Data Anal. Classif. 17(1): 5-19 (2023) - Anna Gottard, Giulia Vannucci, Leonardo Grilli, Carla Rampichini:
Mixed-effect models with trees. Adv. Data Anal. Classif. 17(2): 431-461 (2023) - Rosember Guerra-Urzola, Niek C. de Schipper, Anya Tonne, Klaas Sijtsma, Juan C. Vera, Katrijn Van Deun:
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint. Adv. Data Anal. Classif. 17(1): 269-286 (2023) - Hyukjun Gweon:
A power-controlled reliability assessment for multi-class probabilistic classifiers. Adv. Data Anal. Classif. 17(4): 927-949 (2023) - David J. Hand, Christoforos Anagnostopoulos:
Notes on the H-measure of classifier performance. Adv. Data Anal. Classif. 17(1): 109-124 (2023) - Kuniyoshi Hayashi, Eri Hoshino, Mitsuyoshi Suzuki, Kotomi Sakai, Masayuki Obatake, Osamu Takahashi:
Early identification of biliary atresia using subspace and the bootstrap methods. Adv. Data Anal. Classif. 17(1): 163-179 (2023) - David P. Hofmeyr, Francois Kamper, Michail C. Melonas:
Optimal projections for Gaussian discriminants. Adv. Data Anal. Classif. 17(1): 43-73 (2023) - Abdullah H. Jalilian, Jorge Mateu:
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model. Adv. Data Anal. Classif. 17(1): 21-42 (2023) - Liang-Ching Lin, Meihui Guo, Sangyeol Lee:
Monitoring photochemical pollutants based on symbolic interval-valued data analysis. Adv. Data Anal. Classif. 17(4): 897-926 (2023) - Ruiping Liu, Ndeye Niang, Gilbert Saporta, Huiwen Wang:
Sparse correspondence analysis for large contingency tables. Adv. Data Anal. Classif. 17(4): 1037-1056 (2023) - Nicola Loperfido:
Kurtosis removal for data pre-processing. Adv. Data Anal. Classif. 17(1): 239-267 (2023) - Fatma Najar, Nizar Bouguila:
On smoothing and scaling language model for sentiment based information retrieval. Adv. Data Anal. Classif. 17(3): 725-744 (2023) - Ronald Richman, Mario V. Wüthrich:
LASSO regularization within the LocalGLMnet architecture. Adv. Data Anal. Classif. 17(4): 951-981 (2023) - Paul Riverain, Simon Fossier, Mohamed Nadif:
Poisson degree corrected dynamic stochastic block model. Adv. Data Anal. Classif. 17(1): 135-162 (2023) - Leonie Selk, Jan Gertheiss:
Nonparametric regression and classification with functional, categorical, and mixed covariates. Adv. Data Anal. Classif. 17(2): 519-543 (2023) - Alex Sharp, Glen Chalatov, Ryan P. Browne:
A dual subspace parsimonious mixture of matrix normal distributions. Adv. Data Anal. Classif. 17(3): 801-822 (2023)
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