OOIR: Observatory of International Research

Papers

(The TQCC of Statistical Analysis and Data Mining is 2. 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
Optimal ratio for data splitting	292
Generalized mixed‐effects random forest: A flexible approach to predict university student dropout	28
Unsupervised random forests	22
Supervised compression of big data	18
Imbalanced classification: A paradigm‐based review	18
Modal linear regression models with multiplicative distortion measurement errors	15
Data Twinning	13
An efficientk‐modes algorithm for clustering categorical datasets	12
A linear time method for the detection of collective and point anomalies	12
Fourier neural networks as function approximators and differential equation solvers	11
The fairness‐accuracy Pareto front	9
Exponential calibration for correlation coefficient with additive distortion measurement errors	9
Measure inducing classification and regression trees for functional data	9
A comparison of Gaussian processes and neural networks for computer model emulation and calibration	8
Markov chain to analyze web usability of a university website using eye tracking data	8
Weighted pivot coordinates for partial least squares‐based marker discovery in high‐throughput compositional data	8
Power grid frequency prediction using spatiotemporal modeling	7
A tutorial on generative adversarial networks with application to classification of imbalanced data	7
Handwriting identification using random forests and score‐based likelihood ratios	7
Visual diagnostics of an explainer model: Tools for the assessment of LIME explanations	7
A clustering method for graphical handwriting components and statistical writership analysis	7
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest	6
Survival trees based on heterogeneity in time‐to‐event and censoring distributions using parameter instability test	6
A framework for stability‐based module detection in correlation graphs	6
Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification	6

An adaptive nonparametric exponentially weighted moving average control chart with dynamic sampling intervals	6
Feature selection for imbalanced data with deep sparse autoencoders ensemble	5
A fast and efficient Modal EM algorithm for Gaussian mixtures	5
Extreme ensemble of extreme learning machines	5
Tracking clusters and anomalies in evolving data streams	5
Traditional kriging versus modern Gaussian processes for large‐scale mining data	4
Parallel coordinate order forhigh‐dimensionaldata	4
A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model	4
Precision aggregated local models	4
Sample selection bias in evaluation of prediction performance of causal models	3
Online embedding and clustering of evolving data streams	3
Learning compact physics‐aware delayed photocurrent models using dynamic mode decomposition	3
An approach to characterizing spatial aspects of image system blur	3
Buckley–Jamesestimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data	3
A general iterative clustering algorithm	3
Coefficient tree regression for generalized linear models	3
Intuitively adaptable outlier detector	3
Factor analysis of mixed data for anomaly detection	3
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China	3
Adaptive batching for Gaussian process surrogates with application in noisy level set estimation	3
A tree‐based gene–environment interaction analysis with rare features	3
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets	3
Model‐based clustering of time‐dependent categorical sequences with application to the analysis of major life event patterns	3
Simplicial depth and its median: Selected properties and limitations	2
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets	2
Frequentist model averaging for zero‐inflated Poisson regression models	2
Negative binomial graphical model with excess zeros	2
Coupled support tensor machine classification for multimodal neuroimaging data	2
Cluster analysis via random partition distributions	2
Evaluating causal‐based feature selection for fuel property prediction models	2
Penalized composite likelihood for colored graphical Gaussian models	2
Local support vector machine based dimension reduction	2
Residuals and diagnostics for multinomial regression models	2
A family of mixture models for biclustering	2
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry	2
Estimation of disease progression for ischemic heart disease using latent Markov with covariates	2
Ensemble learning for score likelihood ratios under the common source problem	2
Emulated order identification for models of big time series data	2
Comparison of machine learning approaches used to identify the drivers of Bakken oil well productivity	2
Next waves in veridical network embedding*	2
Bilateral‐WeightedOnline Adaptive Isolation Forest for anomaly detection in streaming data	2
Data‐drivensparse partial least squares	2