yusuke1997/dblp-id-title huggingface dataset:
Prediction of quantitative phenotypes based on genetic networks: a case study in yeast sporulation
Investigating the robustness of the classical enzyme kinetic equations in small intracellular compartments
Optimal experiment design for model selection in biochemical networks
Consistency analysis of metabolic correlation networks
Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling
The Systems Biology Research Tool: evolvable open-source software
Interaction network among functional drug groups
A novel approach to investigate tissue-specific trinucleotide repeat instability
Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms
The complete denitrification pathway of Geobacillus thermoleovorans
Deciphering chemotaxis pathways using cross species comparisons
Chaos game representation of mitochondrial DNA: is it useful in phylogenetic studies?
PathCase-SB architecture and database design
Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models
DnaA and the timing of chromosome replication in Es-cherichia coli as a function of growth rate
Topological analysis of protein co-abundance networks identifies novel host targets important for HCV infection and pathogenesis
Period doubling cascades of limit cycles in cardiac action potential models as precursors to chaotic early Afterdepolarizations
A computational method for the investigation of multistable systems and its application to genetic switches
Systems mapping: how to improve the genetic mapping of complex traits through design principles of biological systems
Decision tree modeling predicts effects of inhibiting contractility signaling on cell motility
Integrating transcriptional activity in genome-scale models of metabolism
Correlation Network Analysis reveals a sequential reorganization of metabolic and transcriptional states during germination and gene-metabolite relationships in developing seedlings of Arabidopsis
Reverse engineering a gene network using an asynchronous parallel evolution strategy
SPABBATS: A pathway-discovery method based on Boolean satisfiability that facilitates the characterization of suppressor mutants
Dynamic protein interaction modules in human hepatocellular carcinoma progression
MutComFocal: an integrative approach to identifying recurrent and focal genomic alterations in tumor samples
Hybrid optimization method with general switching strategy for parameter estimation
Less is more: the battle of Moore's law against Bremermann's limit on the field of systems biology
GxGrare: gene-gene interaction analysis method for rare variants from high-throughput sequencing data
Modeling the arsenic biosensor system
A systems biology approach reveals common metastatic pathways in osteosarcoma
Impact of environmental inputs on reverse-engineering approach to network structures
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models
Exponential family mixed membership models for soft clustering of multivariate data
On the efficient implementation of classification rule learning
Fast algorithms for determining (generalized) core groups in social networks
Active learning of constraints for weighted feature selection
Finite mixture of hidden Markov models for tensor-variate time series data
Multivariate and functional classification using depth and distance
Mixtures of restricted skew-t factor analyzers with common factor loadings
NMF versus ICA for blind source separation
Robust clustering via mixtures of t factor analyzers with incomplete data
Identification of representative trees in random forests based on a new tree-based distance measure
Classification of brain activation via spatial Bayesian variable selection in fMRI regression
The k-means algorithm for 3D shapes with an application to apparel design
CLUSKEXT: CLUstering model for SKew-symmetric data including EXTernal information
Spatial quantile clustering of climate data
The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis
A stable cardinality distance for topological classification
A dual subspace parsimonious mixture of matrix normal distributions
RGA: a unified measure of predictive accuracy
A fuzzy neural network based framework to discover user access patterns from web log data
Is there a role for statistics in artificial intelligence?
Clustering large mixed-type data with ordinal variables
Model selection for Gaussian latent block clustering with the integrated classification likelihood
Unsupervised classification of children's bodies using currents
Backtransformation: a new representation of data processing chains with a scalar decision function
Editorial for issue 1/2017
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets
Semi-supervised model-based clustering with positive and negative constraints
A fuzzy approach to robust regression clustering
Infinite Dirichlet mixture models learning via expectation propagation
Marginal and simultaneous predictive classification using stratified graphical models
Linear components of quadratic classifiers
A clustering ensemble framework based on elite selection of weighted clusters
Clustering discrete-valued time series
Non-symmetrical composite-based path modeling
Supervised learning via smoothed Polya trees
Clustering with missing data: which equivalent for Rubin's rules?
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components
Automatic gait classification patterns in spastic hemiplegia
Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions
Co-clustering contaminated data: a robust model-based approach
Optimal robust estimates using the Hellinger distance
Gaussian mixture model with an extended ultrametric covariance structure
Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data
On mathematical optimization for clustering categories in contingency tables
Multinomial logit models with implicit variable selection
From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering
Isotonic boosting classification rules
Exploratory data analysis for interval compositional data
Clustering of financial time series in risky scenarios
Least squares estimation of linear regression models for convex compact random sets
Editorial for Special Issue on Analysis of Asymmetric Relationships
A robust spatial autoregressive scalar-on-function regression with t-distribution
Special issue on "Science of big data: theory, methods and applications" - Preface by the Guest Editors
Optimal arrangements of hyperplanes for SVM-based multiclass classification
A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification
The forward search interactive outlier detection in cointegrated VAR analysis
A process framework for inducing and explaining Datalog theories
Robust and sparse k-means clustering for high-dimensional data
Improved initialisation of model-based clustering using Gaussian hierarchical partitions
Lasso-constrained regression analysis for interval-valued data
Editorial for ADAC issue 4 of volume 17 (2023)
Unsupervised curve clustering using wavelets
Model-based clustering of time series in group-specific functional subspaces
SEM-Tree hybrid models in the preferences analysis of the members of Polish households
Correction to: Principal component analysis constrained by layered simple structures
Minimum distance method for directional data and outlier detection
Basic statistics for distributional symbolic variables: a new metric-based approach
Hilbertian spatial periodically correlated first order autoregressive models
Robust archetypoids for anomaly detection in big functional data
Methods for the analysis of asymmetric pairwise relationships
Model based clustering for mixed data: clustMD
Discovering patterns in time-varying graphs: a triclustering approach
Early identification of biliary atresia using subspace and the bootstrap methods
Quantile regression with group lasso for classification
Comparison of internal evaluation criteria in hierarchical clustering of categorical data
Fitting semiparametric clustering models to dissimilarity data
Editorial for ADAC issue 3 of volume 16 (2022)
Micro-macro multilevel latent class models with multiple discrete individual-level variables
Modeling and forecasting interval time series with threshold models
Data clustering based on principal curves
About the non-convex optimization problem induced by non-positive semidefinite kernel learning
Aggregation invariance in general clustering approaches
A novel method for forecasting time series based on fuzzy logic and visibility graph
How many data clusters are in the Galaxy data set?
A combination of k-means and DBSCAN algorithm for solving the multiple generalized circle detection problem
Principal differential analysis of the Aneurisk65 data set
Nonparametric estimation of directional highest density regions
Detection of multivariate outliers in business survey data with incomplete information
Constrained principal component analysis of standardized data for biplots with unit-length variable vectors
Editorial for Special Issue on Symbolic Data Analysis - Preface by the guest editors
Simplicial band depth for multivariate functional data
LASSO regularization within the LocalGLMnet architecture
On support vector machines under a multiple-cost scenario
Model-based approach for household clustering with mixed scale variables
Variable selection in model-based clustering and discriminant analysis with a regularization approach
Orthogonal rotation in PCAMIX
An analytic strategy for data processing of multimode networks
Editorial for ADAC issue 4 of volume 18 (2024)
Discrimination with jointly equicorrelated multi-level multivariate data
Extending finite mixtures of nonlinear mixed-effects models with covariate-dependent mixing weights
Flexible mixture regression with the generalized hyperbolic distribution
The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers
Mixtures of biased sentiment analysers
Fuzzy data analysis and classification - Special issue in memoriam of Professor Lotfi A. Zadeh, father of fuzzy logic
Ensemble feature selection for high dimensional data: a new method and a comparative study
Discovering interpretable structure in longitudinal predictors via coefficient trees
Factor and hybrid components for model-based clustering
Special Issue on 'Time series clustering'
Robust logistic zero-sum regression for microbiome compositional data
A new model for counterfactual analysis for functional data
Optimal projections for Gaussian discriminants
A constrained robust proposal for mixture modeling avoiding spurious solutions
On the use of external information in social network analysis
Convex ordering criteria for Lévy processes
The influence function of the TCLUST robust clustering procedure
Preliminary estimators for a mixture model of ordinal data
Bayesian nonstationary Gaussian process models via treed process convolutions
Multiple taxicab correspondence analysis
Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences
A DC programming approach for feature selection in support vector machines learning
Sensory analysis in the food industry as a tool for marketing decisions
Varying uncertainty in CUB models
Discriminant analysis for discrete variables derived from a tree-structured graphical model
Comparisons among several methods for handling missing data in principal component analysis (PCA)
Probabilistic clustering via Pareto solutions and significance tests
Signal classification with a point process distance on the space of persistence diagrams
Editorial for ADAC issue 2 of volume 18 (2024)
Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns
MLE for the parameters of bivariate interval-valued model
Robust mixture regression modeling based on two-piece scale mixtures of normal distributions
Quantile composite-based path modeling
Learning a metric when clustering data points in the presence of constraints
Seemingly unrelated clusterwise linear regression
Exploration of the variability of variable selection based on distances between bootstrap sample results
A note on consistency improvements of AHP paired comparison data
Better than the best? Answers via model ensemble in density-based clustering
Web page importance ranking
Special issue on "New methodologies in clustering and classification for complex and/or big data"
On Robinsonian dissimilarities, the consecutive ones property and latent variable models
Time series classification by class-specific Mahalanobis distance measures
Chained correlations for feature selection
Exploring incomplete data using visualization techniques
A simulation study to compare robust clustering methods based on mixtures
Clustering and classification of spatio-temporal data using spatial dynamic panel data models
Data generation for composite-based structural equation modeling methods
Editorial for issue 2/2017
Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning
Benchmarking different clustering algorithms on functional data
Wavelet-RKHS-based functional statistical classification
Trimmed fuzzy clustering for interval-valued data
A bivariate finite mixture growth model with selection
A new approach for determining the prior probabilities in the classification problem by Bayesian method
Mixture modeling with normalizing flows for spherical density estimation
C enet Biplot: a new proposal of sparse and orthogonal biplots methods by means of elastic net CSVD
Gaussian mixture modeling and model-based clustering under measurement inconsistency
Localization processes for functional data analysis
Correction to: Multivariate cluster weighted models using skewed distributions
Generalised linear model trees with global additive effects
A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data
Independence versus indetermination: basis of two canonical clustering criteria
Fast calibrations of the forward search for testing multiple outliers in regression
Lambda pruning: an approximation of the string subsequence kernel for practical SVM classification and redundancy clustering
Clustering and classification via cluster-weighted factor analyzers
A novel dictionary learning method based on total least squares approach with application in high dimensional biological data
Robust estimation of efficient mean-variance frontiers
Mixture model averaging for clustering
Cohen's linearly weighted kappa is a weighted average
A general approach to handling missing values in Procrustes analysis
Graphical tools for model-based mixture discriminant analysis
Maximum likelihood estimation of Gaussian mixture models without matrix operations
Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion
A tail dependence-based dissimilarity measure for financial time series clustering
A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization
Pruning boxes in a box-based classification method
Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space
General location model with factor analyzer covariance matrix structure and its applications
Metrics of L p -type and distributional equivalence principle
Regime dependent interconnectedness among fuzzy clusters of financial time series
Preface for the special issue of ADAC on 'Optimisation and Non-Convex Programming in Data Mining'
A von Mises-Fisher mixture model for clustering numerical and categorical variables
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning
Energy-based function to evaluate data stream clustering
Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis
A review of robust clustering methods
Ensemble of a subset of kNN classifiers
Generalized Cramér's coefficient via f-divergence for contingency tables
Clusterwise analysis for multiblock component methods
Latent class model with conditional dependency per modes to cluster categorical data
Robust clustering for functional data based on trimming and constraints
Neural networks with functional inputs for multi-class supervised classification of replicated point patterns
Rethinking an ROC partial area index for evaluating the classification performance at a high specificity range
Spline-based nonlinear biplots
Eigenvalues and constraints in mixture modeling: geometric and computational issues
ADCLUS and INDCLUS: analysis, experimentation, and meta-heuristic algorithm extensions
Two local dissimilarity measures for weighted graphs with application to protein interaction networks
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database
A generalized maximum entropy estimator to simple linear measurement error model with a composite indicator
A between-cluster approach for clustering skew-symmetric data
Equi-Clustream: a framework for clustering time evolving mixed data
A fragmented-periodogram approach for clustering big data time series
Editorial for ADAC issue 4 of volume 19 (2025)
Functional clustering of fictional narratives using Vonnegut curves
Editorial ADAC issue 3, volume 10 (2016)
Special issue on "Model-based clustering and classification"
On some properties of Cronbach's α coefficient for interval-valued data in questionnaires
Model-based clustering of functional data via mixtures of t distributions
A principal component method to impute missing values for mixed data
Supervised clustering of variables
A comparison of two dissimilarity functions for mixed-type predictor variables in the δ-machine
New models for symbolic data analysis
A divisive clustering method for functional data with special consideration of outliers
Generalized mixture models, semi-supervised learning, and unknown class inference
Generalized constrained co-inertia analysis
Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study
Inference for robust canonical variate analysis
A structured covariance ensemble for sufficient dimension reduction
A novel semi-supervised support vector machine with asymmetric squared loss
A cost-sensitive constrained Lasso
Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables
A latent class analysis of the public attitude towards the euro adoption in Poland
Multivariate cluster weighted models using skewed distributions
When non-response makes estimates from a census a small area estimation problem: the case of the survey on graduates' employment status in Italy
Unobserved classes and extra variables in high-dimensional discriminant analysis
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions
Advances in credit scoring: combining performance and interpretation in kernel discriminant analysis
Connecting the multivariate partial least squares with canonical analysis: a path-following approach
Threshold optimization for classification in imbalanced data in a problem of gamma-ray astronomy
Monitoring photochemical pollutants based on symbolic interval-valued data analysis
Variable selection in discriminant analysis based on the location model for mixed variables
Tree-structured modelling of categorical predictors in generalized additive regression
Fuzzy rule based classification systems for big data with MapReduce: granularity analysis
Special issue on "Model-based clustering and classification" (part 2)
Finite mixtures, projection pursuit and tensor rank: a triangulation
Robust regression with compositional covariates including cellwise outliers
Preface of the ADAC editors
Predicting brand confusion in imagery markets based on deep learning of visual advertisement content
Claims fraud detection with uncertain labels
Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance
Quantile composite-based path modeling: algorithms, properties and applications
k-means clustering for persistent homology
Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification
Poisson degree corrected dynamic stochastic block model
Nonparametric regression and classification with functional, categorical, and mixed covariates
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood
Orthogonal nonnegative matrix tri-factorization based on Tweedie distributions
Editable machine learning models? A rule-based framework for user studies of explainability
The role of diversity and ensemble learning in credit card fraud detection
Editorial for issue 3/2017
A fresh look at mean-shift based modal clustering
Regularized logistic discrimination with basis expansions for the early detection of Alzheimer's disease based on three-dimensional MRI data
A latent variables approach for clustering mixed binary and continuous variables within a Gaussian mixture model
Mixed-effect models with trees
A sparse exponential family latent block model for co-clustering
Statistical inference in constrained latent class models for multinomial data based on ϕ-divergence measures
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C
Kurtosis removal for data pre-processing
Outlier detection in interval data
Linear dimension reduction in classification: adaptive procedure for optimum results
Comparing partitions of two sets of units based on the same variables
Clustering of imbalanced high-dimensional media data
How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models
View selection in multi-view stacking: choosing the meta-learner
Multivariate count time series segmentation with "sums and shares" and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub
An update algorithm for restricted random walk clustering for dynamic data sets
Determinantal consensus clustering
Clusterwise elastic-net regression based on a combined information criterion
Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions
Finite mixture-of-gamma distributions: estimation, inference, and model-based clustering
Editorial for issue 2/2019
Variable selection in model-based clustering using multilocus genotype data
Classifying real-world data with the DDα-procedure
Detecting atypical observations in financial data: the forward search for elliptical copulas
Inequalities between multi-rater kappas
Generalized marginal homogeneity model and its relation to marginal equimoments for square contingency tables with ordered categories
Multiple imputation in principal component analysis
ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification
Clustering genomic words in human DNA using peaks and trends of distributions
A Riemannian geometric framework for manifold learning of non-Euclidean data
Band depth based initialization of K-means for functional data clustering
Simultaneous dimension reduction and clustering via the NMF-EM algorithm
Editorial for ADAC issue 1 of volume 19 (2025)
Robust semiparametric inference for polytomous logistic regression with complex survey design
Transitional modeling of experimental longitudinal data with missing values
Clustering functional data via variational inference
Tests of ignoring and eliminating in nonsymmetric correspondence analysis