yusuke1997/dblp-id-title huggingface dataset:
Banking customer satisfaction evaluation: a three-way factor perspective
Editorial for ADAC issue 3 of volume 17 (2023)
Benchmarking distance-based partitioning methods for mixed-type data
Editorial for ADAC issue 1 of volume 14 (2020)
Classification in music research
Dissimilarity and similarity measures for comparing dendrograms and their applications
Sparse dimension reduction based on energy and ball statistics
Threshold-based Naïve Bayes classifier
A topological data analysis based classifier
Special issue on "New trends on model-based clustering and classification" - Preface by the Guest Editors: Salvatore Ingrassia, Geoffrey J. McLachlan, Gérard Govaert
Analyzing multiset data by the Power STATIS-ACT method
Mixture models for ordinal responses to account for uncertainty of choice
Model-based clustering using a new multivariate skew distribution
Editorial for issue 1/2016
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA
Editorial 4/2014
Estimating common principal components in high dimensions
Editorial for issue 3/2018
Multiple straight-line fitting using a Bayes factor
Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm
Correction to: Robust optimal classification trees under noisy labels
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model
Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter
Editorial for issue 3/2019
Data projections by skewness maximization under scale mixtures of skew-normal vectors
Studying crime trends in the USA over the years 2000-2012
Robust clustering around regression lines with high density regions
Editorial for issue 2/2013
Dichotomic lattices and local discretization for Galois lattices
Feature selection for fault level diagnosis of planetary gearboxes
Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership
A bias-variance analysis of state-of-the-art random forest text classifiers
Dense traffic flow patterns mining in bi-directional road networks using density based trajectory clustering
Fuzzy clustering based on nonconvex optimisation approaches using difference of convex (DC) functions algorithms
Skew symmetry in retrospect
Parsimonious cluster systems
Evaluation of the evolution of relationships between topics over time
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks
A new three-step method for using inverse propensity weighting with latent class analysis
Constrained clustering and multiple kernel learning without pairwise constraint relaxation
Correction: Characterisation and calibration of multiversal methods
Assessing and accounting for time heterogeneity in stochastic actor oriented models
Extreme logistic regression
Ensemble of optimal trees, random forest and random projection ensemble classification
Is-ClusterMPP: clustering algorithm through point processes and influence space towards high-dimensional data
Special Issue on Robust Methods for Classification and Data Analysis - Preface by the Guest Editors
Model-based clustering and outlier detection with missing data
Robust optimal classification trees under noisy labels
Probabilistic assessment of model-based clustering
Adaptive sparse group LASSO in quantile regression
Finite mixture of regression models for censored data based on scale mixtures of normal distributions
A sequential distance-based approach for imputing missing data: Forward Imputation
A diffusion model for churn prediction based on sociometric theory
New insights on permutation approach for hypothesis testing on functional data
Functional data clustering by projection into latent generalized hyperbolic subspaces
Unifying data units and models in (co-)clustering
Convex clustering for binary data
Assessing the asymmetric effects on branch rivalry of Spanish financial sector restructuring
On the use of quantile regression to deal with heterogeneity: the case of multi-block data
A recursive partitioning tool for interval prediction
Robust kernel principal component analysis and classification
New distance measures for classifying X-ray astronomy data into stellar classes
Adaptive dissimilarity index for measuring time series proximity
Strategies evaluation in environmental conditions by symbolic data analysis: application in medicine and epidemiology to trachoma
Multidimensional scaling for big data
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks
Editorial for issue 3/2015
Trimming algorithms for clustering contaminated grouped data and their robustness
Adaptation of interval PCA to symbolic histogram variables
Modal clustering of matrix-variate data
A mixture of generalized hyperbolic factor analyzers
Editorial for ADAC issue 3 of volume 19 (2025)
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification
The minimum weighted covariance determinant estimator for high-dimensional data
Editorial for issue 2/2015
Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism
Correcting Jaccard and other similarity indices for chance agreement in cluster analysis
Robust model-based clustering via mixtures of skew-t distributions with missing information
Special issue on "Advances on model-based clustering and classification" - Preface by the Guest Editors
Network ensemble clustering using latent roles
Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data
Interpolation of spatial and spatio-temporal Gaussian fields using Gaussian Markov random fields
A data driven equivariant approach to constrained Gaussian mixture modeling
Random models for adjusting fuzzy rand index extensions
Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach
Sparse group fused lasso for model segmentation: a hybrid approach
A multilevel finite mixture item response model to cluster examinees and schools
Hierarchical clustering of asymmetric networks
Basis expansion approaches for functional analysis of variance with repeated measures
M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data
From-below Boolean matrix factorization algorithm based on MDL
Robust regression for interval-valued data based on midpoints and log-ranges
Special issue on "advances in models and learning for clustering and classification"
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news
Robust scale estimators for fuzzy data
Robust and sparse logistic regression
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint
Comparison of alignment free string distances for complete genome phylogeny
Robust classification for skewed data
Archetypal shapes based on landmarks and extension to handle missing data
Cluster-based sparse topical coding for topic mining and document clustering
T3C: improving a decision tree classification algorithm's interval splits on continuous attributes
Mutual information, phi-squared and model-based co-clustering for contingency tables
Robust functional logistic regression
Sparse principal component regression via singular value decomposition approach
Proximal methods for sparse optimal scoring and discriminant analysis
Model-based clustering for random hypergraphs
Multi-objective retinal vessel localization using flower pollination search algorithm with pattern search
Correspondence analysis of textual data involving contextual information: CA-GALT on principal components
Human capital estimation in higher education
Item selection by latent class-based methods: an application to nursing home evaluation
Using Bagging to improve clustering methods in the context of three-dimensional shapes
SVM-Maj: a majorization approach to linear support vector machines with different hinge errors
An effective strategy for initializing the EM algorithm in finite mixture models
Regression trees for detecting preference patterns from rank data
Estimators of various kappa coefficients based on the unbiased estimator of the expected index of agreements
Methods for merging Gaussian mixture components
Cluster analysis of census data using the symbolic data approach
Semiparametric mixtures of regressions with single-index for model based clustering
Prediction of brand stories spreading on social networks
Plastic card fraud detection using peer group analysis
The ultrametric correlation matrix for modelling hierarchical latent concepts
Second special issue on "Advances in latent variables: methods, models and applications"
Robust clustering of functional directional data
Editorial for ADAC issue 1 of volume 17 (2023)
A LASSO-penalized BIC for mixture model selection
On visual distances for spectrum-type functional data
SUBiNN: a stacked uni- and bivariate kNN sparse ensemble
Variational inference for semiparametric Bayesian novelty detection in large datasets
A new biplot procedure with joint classification of objects and variables by fuzzy c-means clustering
A power-controlled reliability assessment for multi-class probabilistic classifiers
Image data analysis and classification in marketing
On mixtures of skew normal and skew t-distributions
Frame potential minimization for clustering short time series
Special issue on data analysis and classification in marketing - preface by the guest editors
Temporally adaptive estimation of logistic classifiers on data streams
sARI: a soft agreement measure for class partitions incorporating assignment probabilities
Editorial for ADAC issue 2 of volume 15 (2021)
Consensus of partitions : a constructive approach
A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves
Minimum Class Variance SVM+ for data classification
Subspace clustering for the finite mixture of generalized hyperbolic distributions
Reducing the dimensionality and granularity in hierarchical categorical variables
Adapted single-cell consensus clustering (adaSC3)
Parametric models for distributional data
Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction
Editorial for ADAC issue 2 of volume 17 (2023)
Sparsest factor analysis for clustering variables: a matrix decomposition approach
A method for selecting the relevant dimensions for high-dimensional classification in singular vector spaces
Generalized GIPSCAL re-revisited: a fast convergent algorithm with acceleration by the minimal polynomial extrapolation
QDA classification of high-dimensional data with rare and weak signals
Sparse classification with paired covariates
Local generalized quadratic distance metrics: application to the k-nearest neighbors classifier
Logistic biplot for nominal data
Interval forecasts based on regression trees for streaming data
Theory of angular depth for classification of directional data
Minimum adjusted Rand index for two clusterings of a given size
Constrained clustering with a complex cluster structure
A review on consistency and robustness properties of support vector machines for heavy-tailed distributions
Semiparametric finite mixture of regression models with Bayesian P-splines
Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm
Properties of Bangdiwala's B
A comparative study on large scale kernelized support vector machines
An isotonic trivariate statistical regression method
Interpretable clustering using unsupervised binary trees
On smoothing and scaling language model for sentiment based information retrieval
Principal component analysis for histogram-valued data
Addressing class imbalance in functional data clustering
Greedy Gaussian segmentation of multivariate time series
Editorial for ADAC issue 1 of volume 15 (2021)
Editorial for ADAC issue 4 of volume 15 (2021)
Principal component analysis constrained by layered simple structures
Dirichlet compound negative multinomial mixture models and applications
Directional co-clustering
Gaussian parsimonious clustering models with covariates and a noise component
Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition
Probabilistic auto-associative models and semi-linear PCA
Weighted distance-based trees for ranking data
Model-based clustering and segmentation of time series with changes in regime
Special issue on "Models and learning for clustering and Classification"
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error
Clustering of modal-valued symbolic data
Analyzing consumers' shopping behavior using RFID data and pattern mining
An efficient random forests algorithm for high dimensional data classification
Supervised box clustering
Special issue on "Advances in clustering, classification and related methods"
The value of the last digit: statistical fraud detection with digit analysis
A two-group canonical variate analysis biplot for an optimal display of both means and cases
Detecting and classifying outliers in big functional data
A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment-subgroup interactions
Mixture model modal clustering
Fuzzy clusterwise quasi-likelihood generalized linear models
Least-squares bilinear clustering of three-way data
Dynamic segmentation with growth mixture models
The k -step spatial sign covariance matrix
Variable selection in discriminant analysis for mixed continuous-binary variables and several groups
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images
Asymptotic comparison of semi-supervised and supervised linear discriminant functions for heteroscedastic normal populations
Kappa coefficients for dichotomous-nominal classifications
Factor probabilistic distance clustering (FPDC): a new clustering method
A class of semi-supervised support vector machines by DC programming
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression
Enhancing the selection of a model-based clustering with external categorical variables
Clustering of functional data in a low-dimensional subspace
Clustering of time series using quantile autocovariances
Notes on the H-measure of classifier performance
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach
A uniform framework for the combination of penalties in generalized structured models
New robust dynamic plots for regression mixture detection
On critical sets of a finite Moore family
A stochastic block model for interaction lengths
The determination of uncertainty levels in robust clustering of subjects with longitudinal observations using the Dirichlet process mixture
Spatial functional normal mixed effect approach for curve classification
Modelling heterogeneity: on the problem of group comparisons with logistic regression and the potential of the heterogeneous choice model
A comparison of reliability coefficients for psychometric tests that consist of two parts
Functional data clustering: a survey
ADAC special issue on "New Perspectives in Functional Data Analysis"
Random walk distances in data clustering and applications
On ill-conceived initialization in archetypal analysis
Model-based clustering of probability density functions
Editorial for issue 4/2013
A bivariate index vector for measuring departure from double symmetry in square contingency tables
Sparse correspondence analysis for large contingency tables
Multi-objective optimization for clustering 3-way gene expression data
Special issue on 'Network Analysis' Preface by the Guest Editors
Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy
Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas
Functional fuzzy clusterwise regression analysis
Random effects clustering in multilevel modeling: choosing a proper partition
Editorial for ADAC issue 3 of volume 14 (2020)
Panel data analysis: a survey on model-based clustering of time series
Robust instance-dependent cost-sensitive classification
Regularized fuzzy clusterwise ridge regression
A fingerprint of a heterogeneous data set
Rank-based classifiers for extremely high-dimensional gene expression data
Special issue on Advances in latent variables: methods, models and applications
Assessing trimming methodologies for clustering linear regression data
Mixture-model-based signal denoising
A classification tree approach for the modeling of competing risks in discrete time
Count regression trees
Galois closed entity sets and k -balls of quasi-ultrametric multi-way dissimilarities
Mixture modeling of data with multiple partial right-censoring levels
Relating brand confusion to ad similarities and brand strengths through image data analysis and classification
Disjoint factor analysis with cross-loadings
Editorial for ADAC issue 4 of volume 16 (2022)
Nonlinear dimension reduction for conditional quantiles
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering
Familywise decompositions of Pearson's chi-square statistic in the analysis of contingency tables
Tag SNP selection based on clustering according to dominant sets found using replicator dynamics
Editorial for ADAC issue 1 of volume 16 (2022)
Transfer distance between partitions
Loss-guided stability selection
Classification using sequential order statistics
Finite mixture biclustering of discrete type multivariate data
Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models
On multi-way metricity, minimality and diagonal planes
Editorial for issue 2/2014
Composite likelihood methods for parsimonious model-based clustering of mixed-type data
A comparison of some criteria for states selection in the latent Markov model for longitudinal data
Clustering ensemble extraction: a knowledge reuse framework
A Kendall correlation coefficient between functional data
Understanding non-linear modeling of measurement invariance in heterogeneous populations
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors
Editorial for ADAC issue 3 of volume 15 (2021)
Efficient regularized spectral data embedding
Latent class CUB models
Investigating consumers' store-choice behavior via hierarchical variable selection
Outlier detection and robust covariance estimation using mathematical programming
Association measures for interval variables
Cohen's weighted kappa with additive weights
Non parametric statistical models for on-line text classification
An enhanced version of the SSA-HJ-biplot for time series with complex structure
Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings
Editorial for issue 2/2018
Editorial for issue 4/2019
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions
Clustering by deep latent position model with graph convolutional network
Special issue on "Innovations on model based clustering and classification"
Enhancing techniques for learning decision trees from imbalanced data
Characterisation and calibration of multiversal methods
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions
A robust approach to model-based classification based on trimming and constraints
Lagrangian relaxation and pegging test for the clique partitioning problem
Clustering via finite nonparametric ICA mixture models
A global algorithm to estimate the expectations of the components of an observed univariate mixture
D-trace estimation of a precision matrix using adaptive Lasso penalties
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data
REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction
Mixtures of skewed matrix variate bilinear factor analyzers
An empirical comparison and characterisation of nine popular clustering methods
Financial clustering in presence of dominant markets
Liszt's Étude S.136 no.1: audio data analysis of two different piano recordings
Clustering space-time series: FSTAR as a flexible STAR approach
Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models
Application of distance standard deviation in functional data analysis
Mining maximal frequent rectangles
Estimating the class prior for positive and unlabelled data via logistic regression
Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations
Where are the large and difficult datasets?
A computationally fast variable importance test for random forests for high-dimensional data
Applications of dual regularized Laplacian matrix for community detection
Model-based regression clustering for high-dimensional data: application to functional data
Generating Connected Textured Fractal Patterns Using Markov Random Fields
Self-Supervised Video Representation Learning by Uncovering Spatio-Temporal Statistics
Introduction to the Special Section
Fast Locality Discriminant Analysis With Adaptive Manifold Embedding
MSFA Image Denoising Using Physics-Based Noise Model and Noise-Decoupled Network
Partially Supervised Speaker Clustering
Quasi-Metric Learning for Bilateral Person-Job Fit
Face Photo-Sketch Synthesis and Recognition
Approximate Labeling via Graph Cuts Based on Linear Programming
Markov Random Field-Based Statistical Character Structure Modeling for Handwritten Chinese Character Recognition
Gradient Response Maps for Real-Time Detection of Textureless Objects
Semantic Concept Co-Occurrence Patterns for Image Annotation and Retrieval
Discriminative and Efficient Label Propagation on Complementary Graphs for Multi-Object Tracking
Edge Structure Preserving 3D Image Denoising by Local Surface Approximation
Joint Detection and Matching of Feature Points in Multimodal Images
A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment
Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior
LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules
Adversarial Margin Maximization Networks
Depth Estimation and Specular Removal for Glossy Surfaces Using Point and Line Consistency with Light-Field Cameras
Unified Domain Adaptive Semantic Segmentation
Maximum Likelihood Methods in Vowel Recognition: A Comparative Study
Towards Robust Point Cloud Recognition With Sample-Adaptive Auto-Augmentation
Point Processes for Unsupervised Line Network Extraction in Remote Sensing
Continual Learning, Fast and Slow
OffsetNet: Towards Efficient Multiple Object Tracking, Detection, and Segmentation
Invertible Diffusion Models for Compressed Sensing
Estimating Information Theoretic Measures via Multidimensional Gaussianization
Blind Image Super-Resolution: A Survey and Beyond
Gaussian-Based Hue Descriptors
Re-Weighting Large Margin Label Distribution Learning for Classification
FAIR: A Fast Algorithm for Document Image Restoration
Convergent Iterative Closest-Point Algorithm to Accomodate Anisotropic and Inhomogenous Localization Error
Multiple Motion Scene Reconstruction with Uncalibrated Cameras
Fitting Curves and Surfaces With Constrained Implicit Polynomials
Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap
On the Synergies Between Machine Learning and Binocular Stereo for Depth Estimation From Images: A Survey
Triple Generative Adversarial Networks