Advances in Data Analysis and Classification

Papers
(The median citation count of Advances in Data Analysis and Classification is 1. 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 2021-03-01 to 2025-03-01.)
ArticleCitations
Editorial for ADAC issue 4 of volume 17 (2023)38
Editorial for ADAC issue 2 of volume 17 (2023)29
Editorial for ADAC issue 1 of volume 16 (2022)15
A link function specification test in the single functional index model12
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter10
Editorial for ADAC issue 1 of volume 17 (2023)9
Characterisation and calibration of multiversal methods8
A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies8
Gaussian mixture model with an extended ultrametric covariance structure8
MLE for the parameters of bivariate interval-valued model8
Random models for adjusting fuzzy rand index extensions8
Classification of multivariate count data with multivariate log-linear conditional Poisson distribution8
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets7
A fingerprint of a heterogeneous data set7
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database7
Nonparametric estimation of directional highest density regions7
Scalable Bayesian p-generalized probit and logistic regression6
Association measures for interval variables6
Reducing the dimensionality and granularity in hierarchical categorical variables6
A fresh look at mean-shift based modal clustering6
Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub6
Mixed-effect models with trees6
Robust instance-dependent cost-sensitive classification5
An enhanced version of the SSA-HJ-biplot for time series with complex structure5
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution5
Estimators of various kappa coefficients based on the unbiased estimator of the expected index of agreements5
Model-based clustering using a new multivariate skew distribution5
Model based clustering of multinomial count data5
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models5
On the efficient implementation of classification rule learning5
Clustering large mixed-type data with ordinal variables5
Minimum adjusted Rand index for two clusterings of a given size5
LASSO regularization within the LocalGLMnet architecture5
Robust regression for interval-valued data based on midpoints and log-ranges4
A structured covariance ensemble for sufficient dimension reduction4
Constrained clustering and multiple kernel learning without pairwise constraint relaxation4
Robust optimal classification trees under noisy labels4
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism3
New models for symbolic data analysis3
Robust logistic zero-sum regression for microbiome compositional data3
Factor and hybrid components for model-based clustering3
A power-controlled reliability assessment for multi-class probabilistic classifiers3
Functional clustering of fictional narratives using Vonnegut curves3
The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis3
Application of distance standard deviation in functional data analysis3
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images3
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint3
Threshold-based Naïve Bayes classifier3
Loss-guided stability selection3
Clusterwise elastic-net regression based on a combined information criterion3
Editorial for ADAC issue 4 of volume 16 (2022)3
Flexible mixture regression with the generalized hyperbolic distribution3
Mixtures of regressions using matrix-variate heavy-tailed distributions2
A new three-step method for using inverse propensity weighting with latent class analysis2
Claims fraud detection with uncertain labels2
Kurtosis removal for data pre-processing2
Liszt’s Étude S.136 no.1: audio data analysis of two different piano recordings2
Clustering with missing data: which equivalent for Rubin’s rules?2
Quantile composite-based path modeling: algorithms, properties and applications2
Editorial for ADAC issue 3 of volume 16 (2022)2
Editorial for ADAC issue 3 of volume 15 (2021)2
Identification of representative trees in random forests based on a new tree-based distance measure2
Modal clustering of matrix-variate data2
Robust and sparse logistic regression2
Special issue on “advances in models and learning for clustering and classification”2
Editorial for ADAC issue 3 of volume 17 (2023)2
Least-squares bilinear clustering of three-way data2
Kernel biclustering algorithm in Hilbert spaces1
Early identification of biliary atresia using subspace and the bootstrap methods1
The role of diversity and ensemble learning in credit card fraud detection1
A between-cluster approach for clustering skew-symmetric data1
Generalized Cramér’s coefficient via f-divergence for contingency tables1
Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion1
Unobserved classes and extra variables in high-dimensional discriminant analysis1
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error1
Clustering by deep latent position model with graph convolutional network1
Independence versus indetermination: basis of two canonical clustering criteria1
On some properties of Cronbach’s α coefficient for interval-valued data in questionnaires1
Theory of angular depth for classification of directional data1
Multivariate cluster weighted models using skewed distributions1
Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space1
Applications of dual regularized Laplacian matrix for community detection1
Dirichlet compound negative multinomial mixture models and applications1
Is there a role for statistics in artificial intelligence?1
View selection in multi-view stacking: choosing the meta-learner1
Variational inference for semiparametric Bayesian novelty detection in large datasets1
Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter1
Robust gradient boosting for generalized additive models for location, scale and shape1
Co-clustering contaminated data: a robust model-based approach1
Model-based clustering and outlier detection with missing data1
Weighted embedding and outlier detection of metric space data1
Composite likelihood methods for parsimonious model-based clustering of mixed-type data1
Editorial for ADAC issue 1 of volume 19 (2025)1
QDA classification of high-dimensional data with rare and weak signals1
Detecting and classifying outliers in big functional data1
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions1
Special issue on “New methodologies in clustering and classification for complex and/or big data”1
Semiparametric finite mixture of regression models with Bayesian P-splines1
RGA: a unified measure of predictive accuracy1
On mathematical optimization for clustering categories in contingency tables1
Directional density-based clustering1
Unsupervised curve clustering using wavelets1
Notes on the H-measure of classifier performance1
0.10301899909973