OOIR: Observatory of International Research

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 2020-11-01 to 2024-11-01.)

Article	Citations
Is there a role for statistics in artificial intelligence?	36
Minimum adjusted Rand index for two clusterings of a given size	21
An empirical comparison and characterisation of nine popular clustering methods	14
PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning	12
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood	11
Robust logistic zero-sum regression for microbiome compositional data	8
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model	8
Robust optimal classification trees under noisy labels	8
Basis expansion approaches for functional analysis of variance with repeated measures	8
Multivariate cluster weighted models using skewed distributions	8
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification	8
New models for symbolic data analysis	7
Model-based clustering and outlier detection with missing data	6
Nonparametric estimation of directional highest density regions	6
Robust clustering via mixtures of t factor analyzers with incomplete data	6
LASSO regularization within the LocalGLMnet architecture	6
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets	6
Estimating the class prior for positive and unlabelled data via logistic regression	6
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution	6
Functional data clustering by projection into latent generalized hyperbolic subspaces	6
How many data clusters are in the Galaxy data set?	5
The minimum weighted covariance determinant estimator for high-dimensional data	5
A new three-step method for using inverse propensity weighting with latent class analysis	5
Automatic gait classification patterns in spastic hemiplegia	5
Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings	5

Robust semiparametric inference for polytomous logistic regression with complex survey design	5
Threshold-based Naïve Bayes classifier	5
Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study	5
Quantile composite-based path modeling: algorithms, properties and applications	5
Gaussian mixture model with an extended ultrametric covariance structure	5
Benchmarking distance-based partitioning methods for mixed-type data	4
RGA: a unified measure of predictive accuracy	4
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach	4
Detecting and classifying outliers in big functional data	4
Model-based clustering for random hypergraphs	4
Robust mixture regression modeling based on two-piece scale mixtures of normal distributions	4
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models	4
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database	3
Proximal methods for sparse optimal scoring and discriminant analysis	3
Sparse correspondence analysis for large contingency tables	3
Sparse dimension reduction based on energy and ball statistics	3
Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter	3
Sparse principal component regression via singular value decomposition approach	3
A fresh look at mean-shift based modal clustering	3
Robust regression with compositional covariates including cellwise outliers	3
Mining maximal frequent rectangles	3
A Riemannian geometric framework for manifold learning of non-Euclidean data	3
Clustering with missing data: which equivalent for Rubin’s rules?	3
Predicting brand confusion in imagery markets based on deep learning of visual advertisement content	3
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks	3
Nonparametric regression and classification with functional, categorical, and mixed covariates	3
The role of diversity and ensemble learning in credit card fraud detection	3
Clusterwise elastic-net regression based on a combined information criterion	3
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components	2
On smoothing and scaling language model for sentiment based information retrieval	2
REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction	2
A between-cluster approach for clustering skew-symmetric data	2
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error	2
A process framework for inducing and explaining Datalog theories	2
Robust clustering of functional directional data	2
A von Mises–Fisher mixture model for clustering numerical and categorical variables	2
Identification of representative trees in random forests based on a new tree-based distance measure	2
Kurtosis removal for data pre-processing	2
Poisson degree corrected dynamic stochastic block model	2
A new model for counterfactual analysis for functional data	2
Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models	2
Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning	2
Unobserved classes and extra variables in high-dimensional discriminant analysis	2
Modal clustering of matrix-variate data	2
Mixed-effect models with trees	1
Robust functional logistic regression	1
Model-based clustering of functional data via mixtures of t distributions	1
Special issue on “Models and learning for clustering and Classification”	1
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors	1
Co-clustering contaminated data: a robust model-based approach	1

Band depth based initialization of K-means for functional data clustering	1
Nonlinear dimension reduction for conditional quantiles	1
On mathematical optimization for clustering categories in contingency tables	1
Loss-guided stability selection	1
A power-controlled reliability assessment for multi-class probabilistic classifiers	1
Model based clustering of multinomial count data	1
Association measures for interval variables	1
A structured covariance ensemble for sufficient dimension reduction	1
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news	1
Monitoring photochemical pollutants based on symbolic interval-valued data analysis	1
Mixture modeling with normalizing flows for spherical density estimation	1
k-means clustering for persistent homology	1
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions	1
A bivariate finite mixture growth model with selection	1
Multidimensional scaling for big data	1
Least-squares bilinear clustering of three-way data	1
The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis	1
On the efficient implementation of classification rule learning	1
Clustering large mixed-type data with ordinal variables	1
Robust regression for interval-valued data based on midpoints and log-ranges	1
Adapted single-cell consensus clustering (adaSC3)	1
Correction to: Principal component analysis constrained by layered simple structures	1
Localization processes for functional data analysis	1
A dual subspace parsimonious mixture of matrix normal distributions	1
A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization	1
Composite likelihood methods for parsimonious model-based clustering of mixed-type data	1
Independence versus indetermination: basis of two canonical clustering criteria	1
View selection in multi-view stacking: choosing the meta-learner	1
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint	1
Model-based clustering using a new multivariate skew distribution	1
Editorial for ADAC issue 1 of volume 16 (2022)	1