| Rotational grid, PAI-maximizing crime forecasts |
8 |
| A systematic review on intrusion detection based on the Hidden Markov Model |
4 |
| Standardizing interestingness measures for association rules |
4 |
| How to Host An Effective Data Competition: Statistical Advice for Competition Design and Analysis |
4 |
| Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments(dagger) |
3 |
| Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers |
3 |
| Forecasting basketball players' performance using sparse functional data |
3 |
| Sparse estimation of multivariate Poisson log-normal models from count data |
3 |
| Skills in demand for ICT and statistical occupations: Evidence from web-based job vacancies |
3 |
| An evaluation of data stream clustering algorithms |
3 |
| Parameter inference with deep jointly informed neural networks |
2 |
| TiK-means: Transformation-infused K-means clustering for skewed groups |
2 |
| Online detection of financial time series peaks and troughs: A probability-based approach* |
1 |
| Dissimilarity measure for ranking data via mixture of copulae* |
1 |
| Optimal transport, mean partition, and uncertainty assessment in cluster analysis |
1 |
| Interactive volumetric segmentation for textile micro-tomography data using wavelets and nonlocal means |
1 |
| Materials data analytics for 9% Cr family steel |
1 |
| A hybrid deep learning architecture for classification of microscopic damage on National Ignition Facility laser optics |
1 |
| Pruning variable selection ensembles |
1 |
| Making social networks more human: A topological approach |
1 |
| An efficient k-means-type algorithm for clustering datasets with incomplete records |
1 |
| Whole-volume clustering of time series data from zebrafish brain calcium images via mixture modeling |
1 |
| Adaptive regularization for Lasso models in the context of nonstationary data streams |
1 |
| Fused lasso regression for identifying differential correlations in brain connectome graphs |
1 |
| Properties and Bayesian fitting of restricted Boltzmann machines |
1 |
| Distribution-preserving k-anonymity |
1 |
| Some remarks on the R-2 for clustering |
1 |
| Robust variable screening for regression using factor profiling |
1 |
| An unsupervised Bayesian hierarchical method for medical fraud assessment |
1 |
| Elastic functional principal component regression |
1 |
| An empirical Bayes approach for learning directed acyclic graph using MCMC algorithm |
0 |
| Sequential optimal positioning of mobile sensors using mutual information |
0 |
| A Bayesian structural equation model in general pedigree data analysis |
0 |
| Marked point process models for the admissions of heart failure patients |
0 |
| Informative priors in Bayesian inference and computation |
0 |
| Anomalous cluster detection in spatiotemporal meteorological fields |
0 |
| Sparse linear discriminant analysis in structured covariates space |
0 |
| Building cancer prognosis systems with survival function clusters |
0 |
| A sparse Gaussian sigmoid basis function approximation of hyperspectral data for detection of solids |
0 |
| A real-valued auction algorithm for optimal transport |
0 |
| The next-generation K-means algorithm |
0 |
| Nonlinear variable selection with continuous outcome: A fully nonparametric incremental forward stagewise approach |
0 |
| Exploratory factor analysis of large data matrices |
0 |
| A Min-Max conditional covariance algorithm for structure learning of Gaussian graphical models |
0 |
| Gaussian mixture models as automated particle classifiers for fast neutron detectors |
0 |
| Clustering over-dispersed data with mixed feature types |
0 |
| Multilevel logistic cluster-weighted model for outcome evaluation in health care* |
0 |
| Bayesian variable selection for logistic regression |
0 |
| Synthesizing simulation and field data of solar irradiance |
0 |
| Enabling immersive engagement in energy system models with deep learning |
0 |
