| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A bivariate finite mixture growth model with selection
|
Aristei, David
|
|
|
|
3 |
p. 759-793
|
artikel
|
| 2 |
About the non-convex optimization problem induced by non-positive semidefinite kernel learning
|
Mierswa, Ingo
|
|
2008
|
|
3 |
p. 241-258
|
artikel
|
| 3 |
A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves
|
Tarel, Jean-Philippe
|
|
2008
|
|
3 |
p. 227-239
|
artikel
|
| 4 |
ADAC special issue on “New Perspectives in Functional Data Analysis”
|
|
|
2014
|
|
3 |
p. 227-229
|
artikel
|
| 5 |
Adaptive sparse group LASSO in quantile regression
|
Mendez-Civieta, Alvaro
|
|
|
|
3 |
p. 547-573
|
artikel
|
| 6 |
A DC programming approach for feature selection in support vector machines learning
|
Le Thi, Hoai An
|
|
2008
|
|
3 |
p. 259-278
|
artikel
|
| 7 |
A diffusion model for churn prediction based on sociometric theory
|
Droftina, Uroš
|
|
2014
|
|
3 |
p. 341-365
|
artikel
|
| 8 |
A divisive clustering method for functional data with special consideration of outliers
|
Justel, Ana
|
|
2017
|
|
3 |
p. 637-656
|
artikel
|
| 9 |
A dual subspace parsimonious mixture of matrix normal distributions
|
Sharp, Alex
|
|
|
|
3 |
p. 801-822
|
artikel
|
| 10 |
A fingerprint of a heterogeneous data set
|
Spallanzani, Matteo
|
|
|
|
3 |
p. 617-657
|
artikel
|
| 11 |
A fuzzy neural network based framework to discover user access patterns from web log data
|
Ansari, Zahid A.
|
|
2015
|
|
3 |
p. 519-546
|
artikel
|
| 12 |
Aggregation invariance in general clustering approaches
|
Bavaud, François
|
|
2009
|
|
3 |
p. 205-225
|
artikel
|
| 13 |
A global algorithm to estimate the expectations of the components of an observed univariate mixture
|
Paul, Nicolas
|
|
2007
|
|
3 |
p. 201-219
|
artikel
|
| 14 |
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models
|
Oberski, Daniel L.
|
|
2013
|
|
3 |
p. 267-279
|
artikel
|
| 15 |
A new approach for determining the prior probabilities in the classification problem by Bayesian method
|
Nguyen-Trang, Thao
|
|
2016
|
|
3 |
p. 629-643
|
artikel
|
| 16 |
A new biplot procedure with joint classification of objects and variables by fuzzy c-means clustering
|
Yamashita, Naoto
|
|
2014
|
|
3 |
p. 243-266
|
artikel
|
| 17 |
A novel dictionary learning method based on total least squares approach with application in high dimensional biological data
|
Parvasideh, Parvaneh
|
|
|
|
3 |
p. 575-597
|
artikel
|
| 18 |
Archetypal shapes based on landmarks and extension to handle missing data
|
Epifanio, Irene
|
|
2017
|
|
3 |
p. 705-735
|
artikel
|
| 19 |
A recursive partitioning tool for interval prediction
|
Krzanowski, Wojtek J.
|
|
2007
|
|
3 |
p. 241-254
|
artikel
|
| 20 |
A Riemannian geometric framework for manifold learning of non-Euclidean data
|
Jang, Cheongjae
|
|
|
|
3 |
p. 673-699
|
artikel
|
| 21 |
Association measures for interval variables
|
Oliveira, M. Rosário
|
|
|
|
3 |
p. 491-520
|
artikel
|
| 22 |
A stable cardinality distance for topological classification
|
Maroulas, Vasileios
|
|
|
|
3 |
p. 611-628
|
artikel
|
| 23 |
A structured covariance ensemble for sufficient dimension reduction
|
Wang, Qin
|
|
|
|
3 |
p. 777-800
|
artikel
|
| 24 |
A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification
|
Algamal, Zakariya Yahya
|
|
2018
|
|
3 |
p. 753-771
|
artikel
|
| 25 |
Bayesian nonstationary Gaussian process models via treed process convolutions
|
Liang, Waley W. J.
|
|
2018
|
|
3 |
p. 797-818
|
artikel
|
| 26 |
Benchmarking different clustering algorithms on functional data
|
Yassouridis, Christina
|
|
2016
|
|
3 |
p. 467-492
|
artikel
|
| 27 |
Benchmarking distance-based partitioning methods for mixed-type data
|
Costa, Efthymios
|
|
|
|
3 |
p. 701-724
|
artikel
|
| 28 |
Better than the best? Answers via model ensemble in density-based clustering
|
Casa, Alessandro
|
|
|
|
3 |
p. 599-623
|
artikel
|
| 29 |
Classification in music research
|
Weihs, Claus
|
|
2007
|
|
3 |
p. 255-291
|
artikel
|
| 30 |
Classifying real-world data with the $${ DD}\alpha $$DDα-procedure
|
Mozharovskyi, Pavlo
|
|
2014
|
|
3 |
p. 287-314
|
artikel
|
| 31 |
Cluster-based sparse topical coding for topic mining and document clustering
|
Ahmadi, Parvin
|
|
2017
|
|
3 |
p. 537-558
|
artikel
|
| 32 |
Clustering of functional data in a low-dimensional subspace
|
Yamamoto, Michio
|
|
2012
|
|
3 |
p. 219-247
|
artikel
|
| 33 |
Clustering of time series using quantile autocovariances
|
Lafuente-Rego, Borja
|
|
2015
|
|
3 |
p. 391-415
|
artikel
|
| 34 |
Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas
|
Dean, Nema
|
|
2013
|
|
3 |
p. 339-357
|
artikel
|
| 35 |
Clustering with missing data: which equivalent for Rubin’s rules?
|
Audigier, Vincent
|
|
|
|
3 |
p. 623-657
|
artikel
|
| 36 |
Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables
|
Cariou, Véronique
|
|
2009
|
|
3 |
p. 227-241
|
artikel
|
| 37 |
Connecting the multivariate partial least squares with canonical analysis: a path-following approach
|
Malec, Lukáš
|
|
|
|
3 |
p. 589-609
|
artikel
|
| 38 |
Consensus of partitions : a constructive approach
|
Guénoche, Alain
|
|
2011
|
|
3 |
p. 215-229
|
artikel
|
| 39 |
Constrained clustering with a complex cluster structure
|
Śmieja, Marek
|
|
2016
|
|
3 |
p. 493-518
|
artikel
|
| 40 |
Correcting Jaccard and other similarity indices for chance agreement in cluster analysis
|
Albatineh, Ahmed N.
|
|
2011
|
|
3 |
p. 179-200
|
artikel
|
| 41 |
Dense traffic flow patterns mining in bi-directional road networks using density based trajectory clustering
|
Mirge, Vaishali
|
|
2016
|
|
3 |
p. 547-561
|
artikel
|
| 42 |
Detecting and classifying outliers in big functional data
|
Ojo, Oluwasegun Taiwo
|
|
|
|
3 |
p. 725-760
|
artikel
|
| 43 |
Dimension reduction for model-based clustering via mixtures of multivariate $$t$$t-distributions
|
Morris, Katherine
|
|
2013
|
|
3 |
p. 321-338
|
artikel
|
| 44 |
Directional co-clustering
|
Salah, Aghiles
|
|
2018
|
|
3 |
p. 591-620
|
artikel
|
| 45 |
Discovering patterns in time-varying graphs: a triclustering approach
|
Guigourès, Romain
|
|
2015
|
|
3 |
p. 509-536
|
artikel
|
| 46 |
Discrimination with jointly equicorrelated multi-level multivariate data
|
Roy, Anuradha
|
|
2007
|
|
3 |
p. 175-199
|
artikel
|
| 47 |
Disjoint factor analysis with cross-loadings
|
Vichi, Maurizio
|
|
2016
|
|
3 |
p. 563-591
|
artikel
|
| 48 |
Editorial
|
Bock, Hans-Hermann
|
|
2011
|
|
3 |
p. 177-178
|
artikel
|
| 49 |
Editorial
|
Bock, Hans-Hermann
|
|
2012
|
|
3 |
p. 161-162
|
artikel
|
| 50 |
Editorial
|
Bock, Hans-Hermann
|
|
2009
|
|
3 |
p. 185-187
|
artikel
|
| 51 |
Editorial ADAC issue 3, volume 10 (2016)
|
|
|
2016
|
|
3 |
p. 281-283
|
artikel
|
| 52 |
Editorial for ADAC issue 3 of volume 16 (2022)
|
Vichi, Maurizio
|
|
|
|
3 |
p. 487-490
|
artikel
|
| 53 |
Editorial for ADAC issue 3 of volume 15 (2021)
|
Vichi, Maurizio
|
|
|
|
3 |
p. 543-546
|
artikel
|
| 54 |
Editorial for ADAC issue 3 of volume 14 (2020)
|
Vichi, Maurizio
|
|
|
|
3 |
p. 513-515
|
artikel
|
| 55 |
Editorial for ADAC issue 3 of volume 17 (2023)
|
Vichi, Maurizio
|
|
|
|
3 |
p. 545-548
|
artikel
|
| 56 |
Editorial for issue 3/2017
|
|
|
2017
|
|
3 |
p. 441-444
|
artikel
|
| 57 |
Editorial for issue 3/2018
|
|
|
2018
|
|
3 |
p. 449-454
|
artikel
|
| 58 |
Editorial for issue 3/2015
|
|
|
2015
|
|
3 |
p. 239-241
|
artikel
|
| 59 |
Editorial for issue 3/2019
|
|
|
2019
|
|
3 |
p. 585-589
|
artikel
|
| 60 |
Enhancing techniques for learning decision trees from imbalanced data
|
Chaabane, Ikram
|
|
|
|
3 |
p. 677-745
|
artikel
|
| 61 |
Familywise decompositions of Pearson’s chi-square statistic in the analysis of contingency tables
|
Lombardo, Rosaria
|
|
|
|
3 |
p. 629-649
|
artikel
|
| 62 |
Financial clustering in presence of dominant markets
|
Otranto, Edoardo
|
|
2014
|
|
3 |
p. 315-339
|
artikel
|
| 63 |
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
|
de Alencar, Francisco H. C.
|
|
|
|
3 |
p. 521-557
|
artikel
|
| 64 |
Functional data clustering: a survey
|
Jacques, Julien
|
|
2013
|
|
3 |
p. 231-255
|
artikel
|
| 65 |
Functional data clustering by projection into latent generalized hyperbolic subspaces
|
Sharp, Alex
|
|
|
|
3 |
p. 735-757
|
artikel
|
| 66 |
Generalised linear model trees with global additive effects
|
Seibold, Heidi
|
|
2018
|
|
3 |
p. 703-725
|
artikel
|
| 67 |
Generalized marginal homogeneity model and its relation to marginal equimoments for square contingency tables with ordered categories
|
Tahata, Kouji
|
|
2008
|
|
3 |
p. 295-311
|
artikel
|
| 68 |
General location model with factor analyzer covariance matrix structure and its applications
|
Amiri, Leila
|
|
2016
|
|
3 |
p. 593-609
|
artikel
|
| 69 |
Greedy Gaussian segmentation of multivariate time series
|
Hallac, David
|
|
2018
|
|
3 |
p. 727-751
|
artikel
|
| 70 |
Hilbertian spatial periodically correlated first order autoregressive models
|
Haghbin, H.
|
|
2014
|
|
3 |
p. 303-319
|
artikel
|
| 71 |
Investigating consumers’ store-choice behavior via hierarchical variable selection
|
Sato, Toshiki
|
|
2018
|
|
3 |
p. 621-639
|
artikel
|
| 72 |
Is-ClusterMPP: clustering algorithm through point processes and influence space towards high-dimensional data
|
Henni, Khadidja
|
|
|
|
3 |
p. 543-570
|
artikel
|
| 73 |
Lambda pruning: an approximation of the string subsequence kernel for practical SVM classification and redundancy clustering
|
Seewald, Alexander K.
|
|
2007
|
|
3 |
p. 221-239
|
artikel
|
| 74 |
Linear dimension reduction in classification: adaptive procedure for optimum results
|
Luebke, Karsten
|
|
2011
|
|
3 |
p. 201-213
|
artikel
|
| 75 |
Marginal and simultaneous predictive classification using stratified graphical models
|
Nyman, Henrik
|
|
2015
|
|
3 |
p. 305-326
|
artikel
|
| 76 |
Metrics of Lp-type and distributional equivalence principle
|
Fichet, Bernard
|
|
2009
|
|
3 |
p. 305-314
|
artikel
|
| 77 |
Minimum distance method for directional data and outlier detection
|
Sau, Mercedes Fernandez
|
|
2017
|
|
3 |
p. 587-603
|
artikel
|
| 78 |
Mining maximal frequent rectangles
|
Hazarika, Irani
|
|
|
|
3 |
p. 593-616
|
artikel
|
| 79 |
Model-based clustering for random hypergraphs
|
Ng, Tin Lok James
|
|
|
|
3 |
p. 691-723
|
artikel
|
| 80 |
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA
|
Bellas, Anastasios
|
|
2013
|
|
3 |
p. 281-300
|
artikel
|
| 81 |
Model-based clustering of probability density functions
|
Montanari, Angela
|
|
2013
|
|
3 |
p. 301-319
|
artikel
|
| 82 |
Modelling heterogeneity: on the problem of group comparisons with logistic regression and the potential of the heterogeneous choice model
|
Tutz, Gerhard
|
|
|
|
3 |
p. 517-542
|
artikel
|
| 83 |
Model selection for Gaussian latent block clustering with the integrated classification likelihood
|
Lomet, Aurore
|
|
2014
|
|
3 |
p. 489-508
|
artikel
|
| 84 |
Multi-objective optimization for clustering 3-way gene expression data
|
Dembélé, Doulaye
|
|
2008
|
|
3 |
p. 211-225
|
artikel
|
| 85 |
Multi-objective retinal vessel localization using flower pollination search algorithm with pattern search
|
Emary, E.
|
|
2016
|
|
3 |
p. 611-627
|
artikel
|
| 86 |
Multiple imputation in principal component analysis
|
Josse, Julie
|
|
2011
|
|
3 |
p. 231-246
|
artikel
|
| 87 |
Multivariate and functional classification using depth and distance
|
Hubert, Mia
|
|
2016
|
|
3 |
p. 445-466
|
artikel
|
| 88 |
Mutual information, phi-squared and model-based co-clustering for contingency tables
|
Govaert, Gérard
|
|
2016
|
|
3 |
p. 455-488
|
artikel
|
| 89 |
New insights on permutation approach for hypothesis testing on functional data
|
Corain, Livio
|
|
2013
|
|
3 |
p. 339-356
|
artikel
|
| 90 |
New models for symbolic data analysis
|
Beranger, Boris
|
|
|
|
3 |
p. 659-699
|
artikel
|
| 91 |
New robust dynamic plots for regression mixture detection
|
Perrotta, Domenico
|
|
2009
|
|
3 |
p. 263-279
|
artikel
|
| 92 |
Nonparametric estimation of directional highest density regions
|
Saavedra-Nieves, Paula
|
|
|
|
3 |
p. 761-796
|
artikel
|
| 93 |
Non-symmetrical composite-based path modeling
|
Dolce, Pasquale
|
|
2017
|
|
3 |
p. 759-784
|
artikel
|
| 94 |
On critical sets of a finite Moore family
|
Diatta, Jean
|
|
2009
|
|
3 |
p. 291-304
|
artikel
|
| 95 |
On mixtures of skew normal and skew $$t$$-distributions
|
Lee, Sharon X.
|
|
2013
|
|
3 |
p. 241-266
|
artikel
|
| 96 |
On smoothing and scaling language model for sentiment based information retrieval
|
Najar, Fatma
|
|
|
|
3 |
p. 725-744
|
artikel
|
| 97 |
On support vector machines under a multiple-cost scenario
|
Benítez-Peña, Sandra
|
|
2018
|
|
3 |
p. 663-682
|
artikel
|
| 98 |
Outlier detection in interval data
|
Duarte Silva, A. Pedro
|
|
2017
|
|
3 |
p. 785-822
|
artikel
|
| 99 |
Parsimonious cluster systems
|
Brucker, François
|
|
2009
|
|
3 |
p. 189-204
|
artikel
|
| 100 |
Prediction of brand stories spreading on social networks
|
Hoang, Thi Bich Ngoc
|
|
|
|
3 |
p. 559-591
|
artikel
|
| 101 |
Preface for the special issue of ADAC on ‘Optimisation and Non-Convex Programming in Data Mining’
|
Le Thi, Hoai An
|
|
2008
|
|
3 |
p. 209-210
|
artikel
|
| 102 |
Preface of the ADAC editors
|
Bock, Hans-Hermann
|
|
2008
|
|
3 |
p. 207-208
|
artikel
|
| 103 |
Preliminary estimators for a mixture model of ordinal data
|
Iannario, Maria
|
|
2012
|
|
3 |
p. 163-184
|
artikel
|
| 104 |
Principal differential analysis of the Aneurisk65 data set
|
Dalla Rosa, Matilde
|
|
2014
|
|
3 |
p. 287-302
|
artikel
|
| 105 |
Probabilistic auto-associative models and semi-linear PCA
|
Iovleff, Serge
|
|
2014
|
|
3 |
p. 267-286
|
artikel
|
| 106 |
Pruning boxes in a box-based classification method
|
Spinelli, Vincenzo
|
|
2014
|
|
3 |
p. 285-304
|
artikel
|
| 107 |
Quantile regression with group lasso for classification
|
Hashem, Hussein
|
|
2015
|
|
3 |
p. 375-390
|
artikel
|
| 108 |
Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations
|
Franco-Pereira, Alba M.
|
|
|
|
3 |
p. 651-676
|
artikel
|
| 109 |
Regression trees for detecting preference patterns from rank data
|
Shih, Yu-Shan
|
|
2018
|
|
3 |
p. 683-702
|
artikel
|
| 110 |
Rethinking an ROC partial area index for evaluating the classification performance at a high specificity range
|
Vivo, Juana-María
|
|
2017
|
|
3 |
p. 683-704
|
artikel
|
| 111 |
Robust clustering via mixtures of t factor analyzers with incomplete data
|
Wang, Wan-Lun
|
|
|
|
3 |
p. 659-690
|
artikel
|
| 112 |
Robust regression for interval-valued data based on midpoints and log-ranges
|
Zhao, Qing
|
|
|
|
3 |
p. 583-621
|
artikel
|
| 113 |
Robust semiparametric inference for polytomous logistic regression with complex survey design
|
Castilla, Elena
|
|
|
|
3 |
p. 701-734
|
artikel
|
| 114 |
Semiparametric finite mixture of regression models with Bayesian P-splines
|
Berrettini, Marco
|
|
|
|
3 |
p. 745-775
|
artikel
|
| 115 |
Semi-supervised model-based clustering with positive and negative constraints
|
Melnykov, Volodymyr
|
|
2015
|
|
3 |
p. 327-349
|
artikel
|
| 116 |
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks
|
Zhao, Licheng
|
|
|
|
3 |
p. 549-581
|
artikel
|
| 117 |
Signal classification with a point process distance on the space of persistence diagrams
|
Marchese, Andrew
|
|
2017
|
|
3 |
p. 657-682
|
artikel
|
| 118 |
Simplicial band depth for multivariate functional data
|
López-Pintado, Sara
|
|
2014
|
|
3 |
p. 321-338
|
artikel
|
| 119 |
Sparse classification with paired covariates
|
Rauschenberger, Armin
|
|
|
|
3 |
p. 571-588
|
artikel
|
| 120 |
Sparse group fused lasso for model segmentation: a hybrid approach
|
Degras, David
|
|
|
|
3 |
p. 625-671
|
artikel
|
| 121 |
Sparse principal component regression via singular value decomposition approach
|
Kawano, Shuichi
|
|
|
|
3 |
p. 795-823
|
artikel
|
| 122 |
Sparsest factor analysis for clustering variables: a matrix decomposition approach
|
Adachi, Kohei
|
|
2017
|
|
3 |
p. 559-585
|
artikel
|
| 123 |
Spatial functional normal mixed effect approach for curve classification
|
Ruiz-Medina, Maria D.
|
|
2014
|
|
3 |
p. 257-285
|
artikel
|
| 124 |
Special issue on “Model-based clustering and classification”
|
|
|
2013
|
|
3 |
p. 237-240
|
artikel
|
| 125 |
Statistical inference in constrained latent class models for multinomial data based on $$\phi $$ϕ-divergence measures
|
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