Advances in Data Analysis and Classification

Papers
(The TQCC of Advances in Data Analysis and Classification is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Editorial for ADAC issue 4 of volume 17 (2023)43
Editorial for ADAC issue 2 of volume 17 (2023)32
Parametric models for distributional data18
Editorial for ADAC issue 1 of volume 16 (2022)13
A link function specification test in the single functional index model12
Editorial for ADAC issue 1 of volume 17 (2023)11
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter11
Random models for adjusting fuzzy rand index extensions9
MLE for the parameters of bivariate interval-valued model9
A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies8
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets8
Classification of multivariate count data with multivariate log-linear conditional Poisson distribution8
A fingerprint of a heterogeneous data set8
Gaussian mixture model with an extended ultrametric covariance structure8
Characterisation and calibration of multiversal methods8
Nonparametric estimation of directional highest density regions8
Association measures for interval variables7
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database7
Scalable Bayesian p-generalized probit and logistic regression6
A fresh look at mean-shift based modal clustering6
Model based clustering of multinomial count data6
Mixed-effect models with trees6
Reducing the dimensionality and granularity in hierarchical categorical variables6
On the efficient implementation of classification rule learning5
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution5
Constrained clustering and multiple kernel learning without pairwise constraint relaxation5
LASSO regularization within the LocalGLMnet architecture5
Robust instance-dependent cost-sensitive classification5
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models5
Robust optimal classification trees under noisy labels5
An enhanced version of the SSA-HJ-biplot for time series with complex structure5
Robust regression for interval-valued data based on midpoints and log-ranges5
A structured covariance ensemble for sufficient dimension reduction5
Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub4
Minimum adjusted Rand index for two clusterings of a given size4
Clustering large mixed-type data with ordinal variables4
Model-based clustering using a new multivariate skew distribution4
Robust and sparse logistic regression3
A new three-step method for using inverse propensity weighting with latent class analysis3
Application of distance standard deviation in functional data analysis3
Estimators of various kappa coefficients based on the unbiased estimator of the expected index of agreements3
Threshold-based Naïve Bayes classifier3
Clustering with missing data: which equivalent for Rubin’s rules?3
Functional clustering of fictional narratives using Vonnegut curves3
Clusterwise elastic-net regression based on a combined information criterion3
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images3
Flexible mixture regression with the generalized hyperbolic distribution3
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism3
Robust logistic zero-sum regression for microbiome compositional data3
Editorial for ADAC issue 4 of volume 16 (2022)3
New models for symbolic data analysis3
Factor and hybrid components for model-based clustering3
The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis3
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