| Day | Time | Speaker | Title |
|---|---|---|---|
| Monday (C. Bouveyron) |
09:00-10:20 | Elena Erosheva University of Washington |
Bayesian rank-clustering |
| 10:40-12:00 | Andrea Cappozzo Università Cattolica Milano |
Lifetime data, frailties, and random covariates: model-based clustering for COVID-19 heart failure patients | |
| Tuesday (A. Raftery) |
09:00-10:20 | Florence Forbes INRIA Grenoble Rhone-Alpes |
Incremental inference of high dimensional elliptical mixtures from large data volumes: Application to magnetic resonance fingerprinting |
| 10:40-12:00 | Poster Flash Session | ||
| 14:00-16:00 | Poster session | ||
| Wednesday (B. Grün) |
9:00-10:20 | Cinzia Viroli Università di Bologna |
Some contributions to microclustering: a frequentist perspective |
| 10:40-10:55 | Claire Gormley University College Dublin |
Integrated differential analysis of multi-omics data using a joint mixture model: idiffomix | |
| 11:00-11:15 | Bettina Grun WU Vienna University |
Model-based clustering of spherical data | |
| 11:20-11:35 | Brendan Murphy University College Dublin |
Model-based clustering and variable selection for multivariate count data | |
| 11:40-11:55 | Marco Corneli Université Côte d’Azur |
A deep dynamic latent block model for co-clustering of zero-inflated data matrices | |
| 14:00-16:00 | Software session | ||
| Thursday (C. Viroli) |
09:00-10:20 | Vincent Vandewalle Université Côte d’Azur |
Multiple partition clustering |
| 10:40-10:55 | Adrian Raftery University of Washington |
John H. Wolfe (1933-2024): the inventor of model-based clustering | |
| 11:00-11:15 | Michael Fop University College Dublin |
Latent space co-clustering for multiplex networks | |
| 11:20-11:35 | Christian Hennig Università di Bologna |
The role of visualisation in cluster analysis | |
| 11:40-11:55 | Charles Bouveyron Université Côte d’Azur |
Scaling optimal transport to high-dimensional Gaussian distributions, with application to semi-supervised domain adaptation | |
| Friday (B. Murphy) |
09:00-10:20 | Luca Scrucca Università di Bologna |
A model-based clustering approach for bounded data and its applications |
| 10:40-10:55 | Pierre Mattei INRIA - Université Côte d’Azur |
Establishing a new asteroid taxonomy using model-based clustering | |
| 11:00-11:15 | Dimitris Karlis Athens University of Economics and Business |
Model Based clustering for discrete valued time series: some new results | |
| 11:20-11:35 | Daniel Sewell University of Iowa |
Camouflaged connections: Noise clusters in network community detection | |
| 11:40-11:55 | Riccardo Rastelli University College Dublin |
A zero-inflated Poisson latent position cluster model |