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 2020-09-01 to 2024-09-01.)
ArticleCitations
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C45
Is there a role for statistics in artificial intelligence?31
Minimum adjusted Rand index for two clusterings of a given size21
An empirical comparison and characterisation of nine popular clustering methods13
PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning12
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood11
Editable machine learning models? A rule-based framework for user studies of explainability11
Notes on the H-measure of classifier performance10
Multivariate cluster weighted models using skewed distributions8
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model8
Robust logistic zero-sum regression for microbiome compositional data8
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification8
Robust optimal classification trees under noisy labels8
New models for symbolic data analysis7
Nonparametric estimation of directional highest density regions6
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions6
Clustering of modal-valued symbolic data6
Functional data clustering by projection into latent generalized hyperbolic subspaces6
Basis expansion approaches for functional analysis of variance with repeated measures6
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution6
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets6
Robust clustering via mixtures of t factor analyzers with incomplete data6
Model-based clustering and outlier detection with missing data6
Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study5
Robust semiparametric inference for polytomous logistic regression with complex survey design5
Automatic gait classification patterns in spastic hemiplegia5
How many data clusters are in the Galaxy data set?5
The minimum weighted covariance determinant estimator for high-dimensional data5
A new three-step method for using inverse propensity weighting with latent class analysis5
Gaussian mixture model with an extended ultrametric covariance structure5
Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings5
Estimating the class prior for positive and unlabelled data via logistic regression5
Quantile composite-based path modeling: algorithms, properties and applications5
Benchmarking distance-based partitioning methods for mixed-type data4
Robust mixture regression modeling based on two-piece scale mixtures of normal distributions4
Better than the best? Answers via model ensemble in density-based clustering4
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models4
Model-based clustering for random hypergraphs4
A novel dictionary learning method based on total least squares approach with application in high dimensional biological data4
Threshold-based Naïve Bayes classifier4
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach4
Detecting and classifying outliers in big functional data4
LASSO regularization within the LocalGLMnet architecture4
Sparse principal component regression via singular value decomposition approach3
A fresh look at mean-shift based modal clustering3
Sparse group fused lasso for model segmentation: a hybrid approach3
RGA: a unified measure of predictive accuracy3
Mining maximal frequent rectangles3
A Riemannian geometric framework for manifold learning of non-Euclidean data3
Clustering with missing data: which equivalent for Rubin’s rules?3
Predicting brand confusion in imagery markets based on deep learning of visual advertisement content3
Robust regression with compositional covariates including cellwise outliers3
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks3
Nonparametric regression and classification with functional, categorical, and mixed covariates3
Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter3
Clusterwise elastic-net regression based on a combined information criterion3
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database3
Proximal methods for sparse optimal scoring and discriminant analysis3
Sparse correspondence analysis for large contingency tables3
Sparse dimension reduction based on energy and ball statistics3
A process framework for inducing and explaining Datalog theories2
A new model for counterfactual analysis for functional data2
Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning2
Kurtosis removal for data pre-processing2
Robust clustering of functional directional data2
Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models2
A between-cluster approach for clustering skew-symmetric data2
Unobserved classes and extra variables in high-dimensional discriminant analysis2
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components2
On smoothing and scaling language model for sentiment based information retrieval2
A von Mises–Fisher mixture model for clustering numerical and categorical variables2
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error2
Identification of representative trees in random forests based on a new tree-based distance measure2
On the efficient implementation of classification rule learning1
Monitoring photochemical pollutants based on symbolic interval-valued data analysis1
Model based clustering of multinomial count data1
Editorial for ADAC issue 1 of volume 16 (2022)1
Special issue on “Models and learning for clustering and Classification”1
Correction to: Principal component analysis constrained by layered simple structures1
Poisson degree corrected dynamic stochastic block model1
REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction1
Multidimensional scaling for big data1
View selection in multi-view stacking: choosing the meta-learner1
The role of diversity and ensemble learning in credit card fraud detection1
Modal clustering of matrix-variate data1
Loss-guided stability selection1
k-means clustering for persistent homology1
Robust regression for interval-valued data based on midpoints and log-ranges1
Robust functional logistic regression1
Clustering large mixed-type data with ordinal variables1
Model-based clustering using a new multivariate skew distribution1
Mixture modeling with normalizing flows for spherical density estimation1
Localization processes for functional data analysis1
A bivariate finite mixture growth model with selection1
A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization1
On mathematical optimization for clustering categories in contingency tables1
Composite likelihood methods for parsimonious model-based clustering of mixed-type data1
Least-squares bilinear clustering of three-way data1
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint1
Mixed-effect models with trees1
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news1
A structured covariance ensemble for sufficient dimension reduction1
Association measures for interval variables1
Model-based clustering of functional data via mixtures of t distributions1
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors1
Adapted single-cell consensus clustering (adaSC3)1
Band depth based initialization of K-means for functional data clustering1
Nonlinear dimension reduction for conditional quantiles1
Co-clustering contaminated data: a robust model-based approach1
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions1
Independence versus indetermination: basis of two canonical clustering criteria1
A power-controlled reliability assessment for multi-class probabilistic classifiers1
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