Tue July 14
Opening
Parallel Sessions
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 Frontiers in Categorical Data Modeling
Chair: Marialuisa Restaino
Contributed Session #1
Chair: TBD
Contributed Session #2
Chair: TBD
Poster Session and Coffee Break
Parallel Sessions
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
Keynote Talk — Laura Sangalli
Lunch
Parallel Sessions
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
Keynote Talk — Muhammed Nadif
Coffee Break
Parallel Sessions
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 e Francesco Denti
Transfer to Libeskind Tower by metro M5 (50 min)
Welcome Reception
IFCS Council Dinner
Wed July 15
Parallel Sessions
Advances in Functional and Multivariate Data Modeling
Chair: Luigi Augugliaro
Object Oriented Spatial Statistics
Chair: Piercesare Secchi
SFC: Hierarchical and Overlapping Clustering Systems: New Theoretical Developments and Applications
Chair: Jean Diatta
SFdS and EGC Organized Session: Conceptual and Algorithmic Advances in Clustering
Chair: Christophe Biernacki
VOC Invited Session: Recent Developments in Tree-based Methods
Chair: Mark de Rooij
Keynote Talk — Brendan Murphy
Coffee Break
Parallel Sessions
Clustering Longitudinal Categorical Data
Chair: R. Piccarreta
Models and Computational Aspects for High-Dimensional and Complex Data
Chair: Anuradha Roy
Advances in Hidden Markov Models
Chair: Antonio Punzo
Statistical Methods for Heterogeneous Data in Political and Biomedical Sciences
Chair: Roberto Ascari e Alice Giampino
Advances in Clustering
Chair: Agustin Mayo Iscar
Lunch
Parallel Sessions
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
Advances in Bayesian Inference II – Structured Probabilistic Model
Chair: Riccardo Corradin e Francesco Denti
Awards
Keynote Talk — Award Winner
Coffee Break
Contributed Sessions
Contributed Session #3
Chair: TBD
Contributed Session #4
Chair: TBD
Contributed Session #5
Chair: TBD
Contributed Session #6
Chair: TBD
Contributed Session #7
Chair: TBD
Guided Tour
IFCS Council Meeting
Conference Dinner
Thu July 16
Parallel Sessions
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
Contributed Session #8
Chair: TBD
Contributed Session #9
Chair: TBD
Presidential Invited Talk — Sugnet Lubbe
Coffee Break
Invited Sessions
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: Michel van de Velden
VOC Invited Session: Interpretable Machine Learning: Inference, Interactions and Causality
Chair: Marjolein Fokkema
Lunch
Presidential Address — Krzysztof Jajuga
Parallel Sessions
Graphical Models and Statistical Learning for Network Data
Chair: Gianluca Sottile
SAFE Artificial Intelligence
Chair: Paolo Giudici
IMS Organized Session: New Aspects of Data Science and Discovery
Chair: Regina Liu
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
Coffee Break
Contributed Sessions
Contributed Session #10
Chair: TBD
Contributed Session #11
Chair: TBD
Contributed Session #12
Chair: TBD
Contributed Session #13
Chair: TBD
Contributed Session #14
Chair: TBD
Contributed Session #15
Chair: TBD