IASC Organized Session: High-dimensional Data and Statistical Learning

Chair: Paulo Canas Rodrigues, Rosaria Lombardo, Francesco Palumbo (IASC)

Advances in Spectral Clustering

Chair: Giorgia Zaccaria

New Advances in Statistical Learning

Chair: Marialuisa Restaino

Model-based Clustering I

Compositional Data Analysis

GFKL Invited Session: Data-driven Models for Bioinformatics and System Biology

Chair: Hans Kestler and Adalbert Wilhelm (GFKL)

Robust Multivariate Methodologies

Chair: Claudio Agostinelli

SKAD Invited Session: Network-Based Modeling of Nonlinear Dependencies in Financial Systems

Chair: Maciej Denkowski

Compositional Data

Chair: Anna Fiori and Leo Pasquazzi

Classification in Social Sciences

Chair: Andrea Marletta

CS Invited Session: Tackling Complexity with Mixture Modeling Approaches

Chair: Cristina Tortora

BDSS Invited Session: Cluster Validation

Chair: Julia Handl / Christian Hennig

SEIO-AMyC Invited Session: Variable Selection and Influence in Classification Problems

Chair: Eva Boj

Advances in Second Generation Functional Data Analysis for High Dimensional Structures

Chair: Elvira Romano

Advances in Bayesian Computation and Inference

Chair: Tommaso Rigon

SSS Invited Session: Network Clustering and Blockmodeling I

Chair: Anuška Ferligoj, Vladimir Batagelj

SDS Invited Session: From Data to Insights: The Explainability–Predictability Trade-Off

Chair: Paola Cerchiello (SDS-SIS Group) Discussant: Arianna Agosto

SEIO-AMyC Invited Session: New Tools and Methods for Complex Datasets

Chair: Aurea Grané

Clustering of Complex Data Structures

Chair: Marta Nai Ruscone

Advances in Learning from Complex Contaminated Data

Chair: Andrea Cappozzo

CLAD Organized Session: Clustering and Classification in Practice

Chair: Carlos Ferreira

Classification in Economics

Chair: Mariangela Zenga

Advances in Bayesian Inference I – Modeling Latent Structures in Complex Data

Chair: Riccardo Corradin and Francesco Denti

Advances in Functional and Multivariate Data Modeling

Chair: Luigi Augugliaro

Object Oriented Spatial Statistics

Chair: Piercesare Secchi

IMS Organized Session: New Aspects of Data Science and Discovery

Chair: Regina Liu

SFdS and EGC Organized Session: Conceptual and Algorithmic Advances in Clustering

Chair: Christophe Biernacki

Statistical Methods for Heterogeneous Data in Political and Biomedical Sciences

Chair: Roberto Ascari

Clustering Longitudinal Categorical Data

Chair: Raffaella Piccarreta

Models and Computational Aspects for High-Dimensional and Complex Data

Chair: Anuradha Roy

Advances in Hidden Markov Models

Chair: Antonio Punzo

VOC Invited Session: Recent Developments in Tree-based Methods

Chair: Mark de Rooij

Advances in Clustering

Chair: Agustin Mayo Iscar

Advances in Robust Statistics: New Methods for New Challenges

Chair: Agustin Mayo Iscar

Advances in Model-Based Clustering

Chair: Luca Scrucca

ISBIS Invited Session: Advances in Clustering and Classification for Business and Industrial Data

Chair: Adalbert Wilhelm

Methodological and Computational Developments in Latent Variable Models

Chair: Luca Brusa

SFC: Hierarchical and Overlapping Clustering Systems: New Theoretical Developments and Applications

Chair: Jean Diatta

Applications in Economics and Social Science

Advances in Unsupervised Learning

Classification and Pattern Recognition

Model-based Clustering II

Multivariate Data Modeling

Advances in Finite Mixture Models

Chair: Roberto Rocci

Network Clustering and Blockmodeling II

Chair: Riccardo Rastelli

IASE Organized Session: Data Science Teaching and Learning

Chair: Daniel Frischemeier

Symbolic Data Analysis: Connecting Concepts and Complex Data

Chair: Sónia Dias

Clustering and Classification

Spatial and Spatio-Temporal Data Analysis I

JCS Invited Session: Statistical Modeling and Dimensionality Reduction

Chair: Yoshiro Yamamoto

MDAG Invited Session: Multivariate Visualization in Action

Chair: Raeesa Ganey

Advances in Symbolic Data Analysis

Chair: Paula Brito (CLAD)

Latent Variable and Clustering Models for High-Dimensional and Complex Data

Chair: Michael Fop

GSDA Invited Session: Classification, Dimensionality Reduction and Clustering for Mixed-Type Data

Chair: Angelos Marcos

VOC Invited Session: Interpretable Machine Learning: Inference, Interactions and Causality

Chair: Marjolein Fokkema

Graphical Models and Statistical Learning for Network Data

Chair: Gianluca Sottile

SAFE Artificial Intelligence

Chair: Paolo Giudici

Advances in Bayesian Inference II – Structured Probabilistic Model

Chair: Riccardo Corradin and Francesco Denti

y-SIS Organized Session: Model-Based Clustering

Chair: Martina Amongero, Giulia Capitoli, Alice Giampino, Matteo Gianella, Rocco Mazza on behalf of y-SIS

Statistical Learning of Preferences: Rankings, Partial Orders, Ratings, and Clustering

Chair: Antonio D’Ambrosio

CLADAG Invited Session: Advances in Latent Structure Modeling

Chair: Marco Ortu

Functional and Longitudinal Data Modeling

Spatial and Spatio-Temporal Data Analysis II

Visualization and Dimension Reduction

Robust and Fuzzy Statistical Methods

Probabilistic and Statistical Methods for Health Data

Statistical Learning and Data Mining