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 2020-09-01 to 2024-09-01.)

Article	Citations
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C	45
Is there a role for statistics in artificial intelligence?	31
Minimum adjusted Rand index for two clusterings of a given size	21
An empirical comparison and characterisation of nine popular clustering methods	13
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
Editable machine learning models? A rule-based framework for user studies of explainability	11
Notes on the H-measure of classifier performance	10
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model	8
Robust logistic zero-sum regression for microbiome compositional data	8
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification	8
Robust optimal classification trees under noisy labels	8
Multivariate cluster weighted models using skewed distributions	8
New models for symbolic data analysis	7
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions	6
Clustering of modal-valued symbolic data	6
Functional data clustering by projection into latent generalized hyperbolic subspaces	6
Basis expansion approaches for functional analysis of variance with repeated measures	6
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution	6
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets	6
Robust clustering via mixtures of t factor analyzers with incomplete data	6
Model-based clustering and outlier detection with missing data	6
Nonparametric estimation of directional highest density regions	6
Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study	5
Robust semiparametric inference for polytomous logistic regression with complex survey design	5

Automatic gait classification patterns in spastic hemiplegia	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
Gaussian mixture model with an extended ultrametric covariance structure	5
Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings	5
Estimating the class prior for positive and unlabelled data via logistic regression	5
Quantile composite-based path modeling: algorithms, properties and applications	5
Better than the best? Answers via model ensemble in density-based clustering	4
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models	4
Model-based clustering for random hypergraphs	4
A novel dictionary learning method based on total least squares approach with application in high dimensional biological data	4
Threshold-based Naïve Bayes classifier	4
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach	4
Detecting and classifying outliers in big functional data	4
LASSO regularization within the LocalGLMnet architecture	4
Benchmarking distance-based partitioning methods for mixed-type data	4
Robust mixture regression modeling based on two-piece scale mixtures of normal distributions	4
Sparse group fused lasso for model segmentation: a hybrid approach	3
RGA: a unified measure of predictive accuracy	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
Robust regression with compositional covariates including cellwise outliers	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
Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter	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
Sparse principal component regression via singular value decomposition approach	3
A fresh look at mean-shift based modal clustering	3