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 2020-03-01 to 2024-03-01.)

Article	Citations
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C	40
Is there a role for statistics in artificial intelligence?	25
Robust archetypoids for anomaly detection in big functional data	15
Minimum adjusted Rand index for two clusterings of a given size	12
The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers	10
Kappa coefficients for dichotomous-nominal classifications	10
An empirical comparison and characterisation of nine popular clustering methods	9
Editable machine learning models? A rule-based framework for user studies of explainability	9
PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning	9
Gaussian mixture modeling and model-based clustering under measurement inconsistency	9
Notes on the H-measure of classifier performance	9
Semiparametric mixtures of regressions with single-index for model based clustering	8
Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data	7
Multivariate cluster weighted models using skewed distributions	7
Robust optimal classification trees under noisy labels	7
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification	7
A cost-sensitive constrained Lasso	7
Adaptive sparse group LASSO in quantile regression	7
Robust logistic zero-sum regression for microbiome compositional data	7
Clustering discrete-valued time series	6
Functional data clustering by projection into latent generalized hyperbolic subspaces	6
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions	6
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets	6
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood	6
New models for symbolic data analysis	6

Data generation for composite-based structural equation modeling methods	6
Robust clustering via mixtures of t factor analyzers with incomplete data	5
Basis expansion approaches for functional analysis of variance with repeated measures	5
M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data	5
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution	5
Model-based clustering and outlier detection with missing data	5
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model	5
Data projections by skewness maximization under scale mixtures of skew-normal vectors	5
The ultrametric correlation matrix for modelling hierarchical latent concepts	5
How many data clusters are in the Galaxy data set?	5
The minimum weighted covariance determinant estimator for high-dimensional data	5
Robust semiparametric inference for polytomous logistic regression with complex survey design	5
Active learning of constraints for weighted feature selection	5
A bias-variance analysis of state-of-the-art random forest text classifiers	4
Nonparametric estimation of directional highest density regions	4
ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification	4
Clustering of modal-valued symbolic data	4
Automatic gait classification patterns in spastic hemiplegia	4
Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings	4
Estimating the class prior for positive and unlabelled data via logistic regression	4
A new three-step method for using inverse propensity weighting with latent class analysis	4
A novel dictionary learning method based on total least squares approach with application in high dimensional biological data	4
Regime dependent interconnectedness among fuzzy clusters of financial time series	3
Robust regression with compositional covariates including cellwise outliers	3
Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study	3
Mixture modeling of data with multiple partial right-censoring levels	3
Quantile composite-based path modeling: algorithms, properties and applications	3
On the use of quantile regression to deal with heterogeneity: the case of multi-block data	3
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models	3
Model-based clustering for random hypergraphs	3
Sparse group fused lasso for model segmentation: a hybrid approach	3
Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data	3
Sparse correspondence analysis for large contingency tables	3
Better than the best? Answers via model ensemble in density-based clustering	3
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database	3
A novel semi-supervised support vector machine with asymmetric squared loss	3
Benchmarking distance-based partitioning methods for mixed-type data	3
Robust mixture regression modeling based on two-piece scale mixtures of normal distributions	3
Sparse dimension reduction based on energy and ball statistics	3
Mining maximal frequent rectangles	3
Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter	3
Predicting brand confusion in imagery markets based on deep learning of visual advertisement content	3
A stochastic block model for interaction lengths	3