yusuke1997/dblp-id-title huggingface dataset:
Use of data mining in a two-step process of profiling student preferences in relation to the enhancement of English as a foreign language teaching
Dimension reduction in magnetohydrodynamics power generation models: Dimensional analysis and active subspaces
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
Score Tests for Overdispersion in Marginalized Zero-Inflated Poisson Regression Based on Marginalized Zero-Inflated Generalized Poisson Model
Bayesian kernel machine models for testing genetic pathway effects in prostate cancer prognosis
A deep learning approach for the comparison of handwritten documents using latent feature vectors
Optimal ratio for data splitting
Delaunay triangulation-based spatial colocation pattern mining without distance thresholds
Fusion and inference from multiple data sources in a commensurate space
Neural Networks and Information in Materials Science
Intuitively adaptable outlier detector
Extreme ensemble of extreme learning machines
Low-Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization
Nonparametric mean and variance adaptive classification rule for high-dimensional data with heteroscedastic variances
Sequential minimal optimization in convex clustering repetitions
Dual-tree fast exact max-kernel search
Data-driven sparse partial least squares
Local support vector machine based dimension reduction
A permutation approach to validation
The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO
Deep Learning for Variable Selection in Censored Quantile Regression Models
Introduction to the special issue on best papers from the SLDM competition
Scalable, asynchronous, distributed eigen monitoring of astronomy data streams
Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method
Discussion of "visualizing statistical models: Removing the blindfold"
Sparse estimation of multivariate Poisson log-normal models from count data
Individualized image region detection with total variation
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification
Chemogenomic databases: Construction, search and analysis
New Era of SAM
A neutral zone classifier for three classes with an application to text mining
Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs
Prediction of transfers to tertiary care and hospital mortality: A gradient boosting decision tree approach
Data reduction in classification: A simulated annealing based projection method
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications
Confidence sets for network structure
Two-stage hybrid learning techniques for bankruptcy prediction
Global Correlation Clustering Based on the Hough Transform
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies
Making social networks more human: A topological approach
Detecting ramp events in wind energy generation using affinity evaluation on weather data
Identifying Nuclear Data Correlated Through Predicting Bias in Integral Experiments via Applying Principal Component Analysis to Random Forest
Random survival forests for high-dimensional data
A classification for community discovery methods in complex networks
Weighted validation of heteroscedastic regression models for better selection
Functional confidence bands for lichen biodiversity profiles: A case study in Tuscany region (central Italy)
Measurement errors and scaling relations in astrophysics: a review
Multivariate Hidden Markov Models for disease progression
A variance reduction framework for stable feature selection
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data
Nonlinear variable selection with continuous outcome: A fully nonparametric incremental forward stagewise approach
Skills in demand for ICT and statistical occupations: Evidence from web-based job vacancies
Considerations in Bayesian agent-based modeling for the analysis of COVID-19 data
A practical extension of the recursive multi-fidelity model for the emulation of hole closure experiments
Semi-supervised Eigenbasis novelty detection
Betti numbers of graphs with an application to anomaly detection
Cleveland's action plan and the development of data science over the last 12 years
Prediction and characterization of application power use in a high-performance computing environment
Distance-based mixture modeling for classification via hypothetical local mapping
MARBLES: Mining association rules buried in long event sequences
Weighted linear programming discriminant analysis for high-dimensional binary classification
Variable Selection in Nonparametric Additive Models via Data Splitting
Joining statistics and geophysics for assessment and uncertainty quantification of three-dimensional seismic Earth models
A Bayesian h-index: How to measure research impact
An Adaptive Microbiome-Based Truncated Test
Modal linear regression models with multiplicative distortion measurement errors
A scalable gaussian process analysis algorithm for biomass monitoring
Detection of Unknown Functional Departure in Generalized Functional Regression
Latent Markov and growth mixture models for ordinal individual responses with covariates: A comparison
Interactive volumetric segmentation for textile micro-tomography data using wavelets and nonlocal means
Neural interval-censored survival regression with feature selection
Introduction: special issue of statistical analysis and data mining on networks
The next-generation K-means algorithm
Frequentist model averaging for zero-inflated Poisson regression models
Regression on manifolds using data-dependent regularization with applications in computer vision
Chemogenomic insights into biological systems
On difference-based gradient estimation in nonparametric regression
Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications
Large-scale regression-based pattern discovery: The example of screening the WHO global drug safety database
Basketball predictions in the NCAAB and NBA: Similarities and differences
Randomization methods for assessing data analysis results on real-valued matrices
Retracted: Multi-model penalized regression
Special Issue on CIDU '11
Materials informatics: An emerging technology for materials development
Non-negative residual matrix factorization: problem definition, fast solutions, and applications
Application-Driven Data Analysis
A weighted random forests approach to improve predictive performance
Exploratory factor analysis of large data matrices
Subsampling under distributional constraints
Competence-conscious associative classification
Randomized multiarm bandits: An improved adaptive data collection method
Semi-Parametric Least-Area Linear-Circular Regression Through Möbius Transformation
Distributed dimension reduction with nearly oracle rate
Extraction of knowledge from high strength steel data using soft computing techniques - an overview
On the limits of clustering in high dimensions via cost functions
Erratum: Emerging Topics and Challenges for Statistical Analysis and Data Mining
Spatially-correlated time series clustering using location-dependent Dirichlet process mixture model
Interval Archetypes: A New Tool for Interval Data Analysis
Review of statistical network analysis: models, algorithms, and software
Imbalanced classification: A paradigm-based review
Rotational grid, PAI-maximizing crime forecasts
Sparse Fisher's linear discriminant analysis for partially labeled data
Distribution-preserving k-anonymity
Forecasting rare disease outbreaks from open source indicators
Special Issue on the Best Papers of SDM'08
Special issue on the best papers of SDM'09
Transfer learning under the Cox model with interval-censored data
A machine learning oracle for parameter estimation
Nonparametric clustering of RNA-sequencing data
Power grid frequency prediction using spatiotemporal modeling
Detecting the end of agreement between two long ranked lists
A nonparametric frequency domain EM algorithm for time series classification with applications to spike sorting and macro-economics
Special Issue on Astrostatistics
On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms
Feature extraction through local learning
A distributed kernel summation framework for general-dimension machine learning
Unsupervised classification and analysis of objects described by nonparametric probability distributions
A network model that combines latent factors and sparse graphs
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns
Two-sample test based on classification probability
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis
A communication efficient probabilistic algorithm for mining frequent itemsets from a peer-to-peer network
Data science: An action plan for expanding the technical areas of the field of statistics
Two-way regularization for MEG source reconstruction via multilevel coordinate descent
Rank-Based Inference for Conditional Independence Graph With Missing Values
Convolutional Sparse Coding for Time Series Via a ℓ 0 Penalty: An Efficient Algorithm With Statistical Guarantees
Feature selection for imbalanced data with deep sparse autoencoders ensemble
Traditional kriging versus modern Gaussian processes for large-scale mining data
Data Twinning
BOSTON-PUPA: A Bayesian Online Spatio-Temporal Outbreak Detection Framework With Prior Updating and p -Value Adaptation
A novel support vector classifier for longitudinal high-dimensional data and its application to neuroimaging data
Simplicial depth: Characterization and reconstruction
Measurement of data complexity for classification problems with unbalanced data
Multivariate contaminated normal mixture regression modeling of longitudinal data based on joint mean-covariance model
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams
A random forest approach for interval selection in functional regression
Divide and recombine (D&R): Data science for large complex data
Correspondence Analysis From the Viewpoint of Compositional Tables
Clustering complex time-series databases by using periodic components
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest
A framework for stability-based module detection in correlation graphs
Data Mining Research: Current Status and Future Opportunities
Robust variable screening for regression using factor profiling
Local influence analysis for the sliced average third-moment estimation
Turbo similarity searching: Effect of fingerprint and dataset on virtual-screening performance
Spatial modeling of brain connectivity data via latent distance models with nodes clustering
TiK-means: Transformation-infused K-means clustering for skewed groups
CLADAG 2021 special issue: Selected papers on classification and data analysis
Peer-to-peer distributed text classifier learning in PADMINI
Some remarks on the R2 for clustering
Weighted AutoEncoding recommender system
Model-Based Recursive Partitioning for Discrete Event Times
Thought leaders during crises in massive social networks
Imputed quantile vector autoregressive model for multivariate spatial-temporal data
Kernel learning with nonconvex ramp loss
A parametric mixture model for clustering multivariate binary data
Enabling immersive engagement in energy system models with deep learning
GBC: Gradient boosting consensus model for heterogeneous data
Association Rules Network: Definition and Applications
A machine-learning approach to detecting unknown bacterial serovars
Data-driven dimension reduction in functional principal component analysis identifying the change-point in functional data
Learning with many experts: Model selection and sparsity
Regrouped design in privacy analysis for multinomial microdata
A novel two-step extrapolation-insertion risk model based on the Expectile under the Pareto-type distribution
Trellis display for modeling data from designed experiments
A wavelet threshold denoising procedure for multimodel predictions: An application to economic time series
Local spatial biclustering and prediction of urban juvenile delinquency and recidivism
A comparison of Gaussian processes and neural networks for computer model emulation and calibration
On relationship formation in heterogeneous information networks: An inferring method based on multilabel learning
A Bayesian structural equation model in general pedigree data analysis
Towards accelerating particle-resolved direct numerical simulation with neural operators
Assessing topic model relevance: Evaluation and informative priors
Association rules and decision rules
Learning network event sequences using long short-term memory and second-order statistic loss
Bayesian cluster ensembles
CoDA 2014 special issue: Exploring data-focused research across the department of energy
A study of the impact of COVID-19 on the Chinese stock market based on a new textual multiple ARMA model
Morphological feature extraction for statistical learning with applications to solar image data
Constrained overlapping clusters: minimizing the negative effects of bridge-nodes
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach
Adaptive concept drift detection
Synthesizing simulation and field data of solar irradiance
Doubly robust estimation for non-probability samples with modified intertwined probabilistic factors decoupling
Coselection of features and instances for unsupervised rare category analysis
Making room for the modeler in data mining
Anomalous cluster detection in spatiotemporal meteorological fields
An evaluation of data stream clustering algorithms
Smoothing methods for histogram-valued time series: an application to value-at-risk
Online embedding and clustering of evolving data streams
Visual diagnostics of an explainer model: Tools for the assessment of LIME explanations
The fairness-accuracy Pareto front
Biclustering high-frequency financial time series based on information theory
Nonlinear vertex discriminant analysis with reproducing kernels
AAPL: assessing association between p -value lists
A novel Bayesian method for variable selection and estimation in binary quantile regression
Parallel coordinate order for high-dimensional data
Multiclass machine learning classification of functional brain images for Parkinson's disease stage prediction
A Min-Max conditional covariance algorithm for structure learning of Gaussian graphical models
Semi-supervised logistic discrimination via labeled data and unlabeled data from different sampling distributions
Testing for white noise against locally stationary alternatives
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics
The next wave: We will all be data scientists
A likelihood-based comparison of temporal models for physical processes
A Novel Approach for APT Detection Based on Ensemble Learning Model
Big data, big results: Knowledge discovery in output from large-scale analytics
Predicting historical indoor temperatures from available local weather data
Relative clustering validity criteria: A comparative overview
Cross-validation and peeling strategies for survival bump hunting using recursive peeling methods
A review of data mining applications in crime
Stochastic methodology for prognostics under continuously varying environmental profiles
Portability analysis of data mining models for fog events forecasting
h-plots for displaying nonmetric dissimilarity matrices
Multivariate Gaussian RBF-net for smooth function estimation and variable selection
Principal axes analysis of symbolic histogram variables
Boosting diversity in regression ensembles
A note on sliced inverse regression with missing predictors
Robust multitask learning in high dimensions under memory constraint
Discovering arbitrary event types in time series
Fourier neural networks as function approximators and differential equation solvers
Fast robust SUR with economical and actuarial applications
An analytical toast to wine: Using stacked generalization to predict wine preference
Non-uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases
Driving mode analysis - How uncertain functional inputs propagate to an output
Estimating basis functions in massive fields under the spatial mixed effects model
Neural-network transformation models for counting processes
Beyond multidimensional data in model visualization: High-dimensional and complex nonnumeric data
Seriation and matrix reordering methods: An historical overview
Emulated order identification for models of big time series data
Negative binomial graphical model with excess zeros
Using machine learning to draw inferences from pass location data in soccer
Two-sample testing for random graphs
Assessment of the real-time pattern recognition capability of machine learning algorithms
Exponential calibration for correlation coefficient with additive distortion measurement errors
On Algorithms and Approximations for Progressively Type-I Censoring Schemes
A fast and efficient Modal EM algorithm for Gaussian mixtures
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics
Gaussian process selections in semiparametric multi-kernel machine regression for multi-pathway analysis
MR plot: A big data tool for distinguishing distributions
Assessing geographic heterogeneity and variable importance in an air pollution data set
Periodicity detection in irregularly sampled light curves by robust regression and outlier detection
Weighted pivot coordinates for partial least squares-based marker discovery in high-throughput compositional data
A deep learning factor analysis model based on importance-weighted variational inference and normalizing flow priors: Evaluation within a set of multidimensional performance assessments in youth elite soccer players
Comments on "visualizing statistical models": Visualizing modern statistical methods for Big Data
Knot selection in sparse Gaussian processes with a variational objective function
Bayesian inference for nonprobability samples with nonignorable missingness
Sequential change-point detection based on direct density-ratio estimation
The quantile method for symbolic principal component analysis
Gaussian mixture models as automated particle classifiers for fast neutron detectors
A statistical approach to combining multisource information in one-class classifiers
Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs
Bayesian methodology for the analysis of spatial-temporal surveillance data
Composite large margin classifiers with latent subclasses for heterogeneous biomedical data
Next waves in veridical network embedding
A resampling approach for interval-valued data regression
Impact of response variability on Pareto front optimization
Handwriting identification using random forests and score-based likelihood ratios
Trajectory analysis via a geometric feature space approach
From black and white to full color: extending redescription mining outside the Boolean world
Data mining density of states spectra for crystal structure classification: An inverse problem approach
On two-way Bayesian agglomerative clustering of gene expression data
Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances
Efficient mining of distance-based subspace clusters
Sequential optimal positioning of mobile sensors using mutual information
Bayesian adaptive nearest neighbor
Spatially adaptive semi-supervised learning with Gaussian processes for hyperspectral data analysis
Optimal transport, mean partition, and uncertainty assessment in cluster analysis
Linear regression model with histogram-valued variables
Bilateral-Weighted Online Adaptive Isolation Forest for anomaly detection in streaming data
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design
Semiparametric detection of changepoints in location, scale, and copula
Semi-supervised multi-label learning with missing labels by exploiting feature-label correlations
Proximal Knowledge-based Classification
Modeling subpopulations for hierarchically structured data
Distributed anomaly detection using 1-class SVM for vertically partitioned data
Model-based clustering of regression time series data via APECM - an AECM algorithm sung to an even faster beat
Bayesian visual analytics: BaVA
In praise of partially interpretable predictors
A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints
Penalized composite likelihood for colored graphical Gaussian models
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi-Platform High-Dimensional Genomics Data
Spatial regression and estimation of disease risks: A clustering-based approach
APT malware static trace analysis through bigrams and graph edit distance
Modeling local nonlinear correlations using subspace principal curves
Sequential support vector regression with embedded entropy for SNP selection and disease classification
Fused lasso regression for identifying differential correlations in brain connectome graphs
Distributed Decision-Tree Induction in Peer-to-Peer Systems
Causal inference of interaction effects with inverse propensity weighting, G-computation and tree-based standardization
A Bayesian criterion for cluster stability
Efficient k -NN graph construction for graphs on variables
Cost-sensitive classification with time constraint on incomplete data
A graph-based approach to find teleconnections in climate data
Data Mining: A Gateway to Better Data Gathering
Context-aided analysis of community evolution in networks
Controlling the False Discovery Rate for Feature Selection in High-resolution NMR Spectra
Marked point process models for the admissions of heart failure patients
A framework for clustering massive graph streams
Adversarially robust subspace learning in the spiked covariance model
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization
Bayesian shrinkage models for integration and analysis of multiplatform high-dimensional genomics data
Learning compact physics-aware delayed photocurrent models using dynamic mode decomposition
Bayesian modeling of location, scale, and shape parameters in skew-normal regression models
Posterior singular spectrum analysis
A clustering method for graphical handwriting components and statistical writership analysis
Fair treatment comparisons in observational research
An adaptive nonparametric exponentially weighted moving average control chart with dynamic sampling intervals
Ensemble simulations of inertial confinement fusion implosions
Panning for gold: Enhancing the precision of sensitivity test data
Sufficient dimension folding in regression via distance covariance for matrix-valued predictors
Neural network for univariate and multivariate nonlinearity tests
Fast and accurate detection of changes in data streams
Clusterwise p * models for social network analysis
Two-way Gaussian mixture models for high dimensional classification
Iterative selection using orthogonal regression techniques
Measure inducing classification and regression trees for functional data
An efficient k-means-type algorithm for clustering datasets with incomplete records
Hierarchical models for multiple, rare outcomes using massive observational healthcare databases
Compositional variable selection in quantile regression for microbiome data with false discovery rate control
A real-valued auction algorithm for optimal transport
Brief overview of symbolic data and analytic issues
Spatial detection of anomalous cellular network events
Nonlinear Laplacian spectral analysis: capturing intermittent and low-frequency spatiotemporal patterns in high-dimensional data