CLADAG 2023

• Home
• About
• Log In
• Account
• Search
• Archive
• ##CLADAG 2023 - Official website##
• ##Submissions##
• ##Registration and Fees##

Home > CLADAG 2023 > CLADAG2023 > Presentations and Authors

Title Author contains is
Last name A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Track: All Tracks Advanced Clustering Methods for Complex Networks Advances and Applications in Model Based Clustering Advances in Application of Statistical Methods in Household Economics Advances in Bayesian Factor Analysis Advances in Bayesian Nonparametrics Advances in Clustering and Dimensionality Reduction Advances in Clustering Three-way Data Advances in Directional Statistics Advances in Large/Complex Data Analysis Anomaly Detection Associação Portuguesa de Classificação e Análise de Dados Contributed papers From texts to knowledge: advances and challenges in textual data analysis Functional and Object-oriented Data Analysis GFK Session IBS Session - Statistical methods for the analysis of health problems Latent Variable and Hidden Markov Models for Big Data Analytics Latent Variable Models for Complex Data Structures Machine Learning and AI Machine Learning for Finite Population Inference Measurement Uncertainty in Complex Models Multi-view Data Analysis Networks and Higher-Order Networks Data Analysis and Applications New Developments in Latent Variable Models Performance Estimation and Players’ Classification: An Overlook Into Sports Analytics Preference Data Analysis Real Big Data Applications for Socio-economic Applications Recent Advances in Model-based Unsupervised Learning Robust Procedures SFC Session Statistical Learning Methods in Finance and Business

 

Anomaly Detection

A proposal for the joint automated detection of clusters and anomalies
Luis Angel García-Escudero, Christian Hennig, Agustín Mayo-Iscar, Gianluca Morelli, Marco Riani

Contributed papers

A MULTIVARIATE PERMUTATION TEST FOR ASSOCIATION
Elena Barzizza, Riccardo Ceccato, Solomon Harrar, Fortunato Pesarin, Luigi Salmaso

Real-time discriminant analysis in the presence of label and measurement noise
Mia Hubert, Iwein Vranckx, Jakob Raymaekers, Bart De Ketelaere, Peter Rousseeuw

Quantifying variable importance in cluster analysis
Christian Hennig, Keefe Murphy

Functional and Object-oriented Data Analysis

Clustering imbalanced functional data
Michelle Carey, Catherine Higgins