OOIR: Observatory of International Research

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 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
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
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
New models for symbolic data analysis	7
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
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
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
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
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
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
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
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