INVITED SESSIONS

(Semi-Plenary Sessions)

CATEGORICAL DATA ANALYSIS AND VISUALIZATION

ORGANIZER

Rosaria Lombardo
ROSARIA LOMBARDO

SPEAKERS

Junji Nakano
JUNJI NAKANO
Some Descriptive Statistics of Aggregated Symbolic Data


Michel van de Velden
MICHEL VAN DE VELDEN
A general framework for implementing distance measures for categorical variables


Sugnet Lubbe
SUGNET LUBBE
Embedded word MCA biplots for sentiment visualisation: Application to COVID-19 related Tweets

CLUSTERING AND CLASSIFICATION OF TIME SERIES

ORGANIZER

JOSÉ ANTONIO VILAR FERNÁNDEZ

SPEAKERS

Daniel Peña
Daniel Peña
A criterion for selecting the number of clusters in time series


Anthony Bagnall
Clustering and classifying time series in the sktime toolkit: a practical review of latest advances in the field


Pablo Montero-Manso
Clusters based on prediction accuracy of global forecasting models

COVID data analysis

ORGANIZER

Tae Rim Lee
Tae rim LEE

SPEAKERS

Taesung Park
Impact of Type 2 Diabetes and its Genetic Susceptibility on Severity and Mortality of COVID-19


Eun-Kyung Lee
Algorithms for clustering COVID-19 data: a holistic overview of current trends and new visual approaches


Ho Kim
Prognosis of COVID-19 Patients by the Underlying Diseases and Drug Treatment in Korea

DIMENSION REDUCTION

ORGANIZER

Cinzia Viroli
Cinzia Viroli

SPEAKERS

Laura Anderlucci
Variable screening in high dimensional regression via random projection ensembles


Michael Fop
Model-based clustering and dimension reduction for multidimensional social networks


Volodymyr Melnykov
Volodymyr Melnykov
Conditional Gaussian Mixture Modeling

EXPLAINABLE MACHINE LEARNING

ORGANIZER

Eyke Hüllermeier

SPEAKERS

Bernd Bischl
Current Challenges in Interpretable Machine Learning and Partitioning Approaches


Tomas Kliegr
Classification over Text, Relational Databases and Graphs – Software and Case Studies


Johannes Fürnkranz
Towards Deep and Interpretable Rule Learning