Corresponding authors/speakers are emphasized.

Keynote Papers

1. Sohom Bhattacharya, Jianqing Fan (Princeton University, USA), Jikai Hou
   Inferences on mixing probabilities and ranking in mixed-membership models
2. Pietro Coretto (Università di Salerno, Italy)
   Looking for elliptical-symmetric shaped clusters
3. Emilie Eliseussen, Haakon Muggerud, Luca Coraggio, Ida Scheel, Thomas Fleischer, Valeria Vitelli (University of Oslo, Norway)
   Rank-based Bayesian joint variable selection and clustering in the presence of ultra-high-dimensional pools of items
4. Peter Rousseeuw (KU Leuven, Belgium)
   Challenges of cellwise outliers
5. Sara Wade (University of Edinburgh, UK), Cecilia Balocchi
   Understanding uncertainty in Bayesian cluster analysis

Papers for 20' Talk Sessions

1. Claudio Agostinelli (Università di Trento, Italy), Giacomo Francisci, Alicia Nieto-Reyes, Anand N. Vidyashankar
   Clustering using statistical local depth functions
2. Elena Ballante (Università di Pavia, Italy), Silvia Figini, Antonietta Mira
   A fully non-parametric similarity measure for clustering
3. Mariaelena Bottazzi Schenone (Sapienza Università di Roma, Italy), Maurizio Vichi
   Advances in fuzzy clustering and dimensionality reduction
4. Silvia Dallari (Università di Bologna, Italy), Laura Anderlucci, Angela Montanari
   Model-based clustering of high dimensional data via random projections
5. Silvia D'Angelo (Trinity College Dublin, Ireland), Michael Fop
   Data compression for clustering high-dimensional discrete data
6. Nina Deliu, Brunero Liseo (Sapienza Università di Roma, Italy)
   A multivariate copula-based conformal Bayesian framework for doping detection
7. Houyem Demni (Università di Cassino e Lazio Meridionale, Italy), Paolo Giordani, Giovanni C. Porzio
   Fuzzy k-medoids clustering algorithms for directional data
8. Roberto Di Mari, Matteo Farnè (Università di Bologna, Italy)
   endogeNOVA: a latent variable approach to assess endogenous bank performance from ECB supervisory data
9. Edoardo Fibbi (KU Leuven, Belgium), Domenico Perrotta, Francesca Torti, Stefan Van Aelst, Tim Verdonck
   Co-clustering count data with cellwise outliers and an application to trade monitoring
10. Stefano Antonio Gattone, Roberto Rocci (Sapienza Università di Roma, Italy)
    Model based clustering in functional subspaces
11. Christian Hennig (Università di Bologna, Italy)
    On decision making in cluster analysis
12. Mia Hubert (KU Leuven, Belgium), Mehdi Hirari
    MacroPARAFAC for handling rowwise and cellwise outliers in incomplete multiway data
13. Quoc L. Huynh, Cristina Tortora (San José State University, USA), Antonio Punzo, Meredith L. Wallace
    Dealing with mixed-type variables, complex cluster shapes, and local dependencies, in model-based clustering
14. Lazhar Labiod (Université Paris Cité, France), Mohamed Nadif
    Joint fuzzy spectral attributed graph embedding and clustering
15. Victor Hugo Lachos Davila (University of Connecticut, United States)
    Finite mixture modeling of interval-censored data using the multivariate skew-normal distribution
16. Yanyuan Ma, Shaoli Wang, Lin Xu, Weixin Yao (University of California, USA)
    Semiparametric mixture of regression with unspecified error distributions
17. Volodymyr Melnykov (University of Alabama, USA), Aqi Dong, Yingying Zhang, Igor Melnykov
    Modeling heterogeneous directional data with heavy tails
18. Thais Pacheco Menezes (University College Dublin, Ireland), Thomas Brendan Murphy, Michael Fop
    An unsupervised record linkage approach using household information to enhance individual matching across different databases
19. Andrew Pope, Garritt L. Page (Brigham Young University, USA)
    Functional Clustering Using Derivative Curves
20. Kemmawadee Preedalikit, Daniel Fernández, Ivy Liu, Louise McMillan, Marta Nai Ruscone (Università di Genova, Italy), Roy Costilla
    Mixture-based clustering with covariates for ordinal responses
21. David Rodríguez-Vítores (Universidad de Valladolid, Spain)
    Wasserstein methods for dimensionality reduction
22. Mahdi Salehi (University of Neyshabur and University of Pretoria, Iran), Mohammad Arashi, Andriette Bekker
    Enhancing skew-normal modeling through kernel density estimation: a semi-parametric framework
23. Valentin Todorov (UNIDO, Austria), Violetta Simonacci, Michele Gallo
    Robust SIMCA for classification of three-way data
24. Furio Urso (Università di Palermo, Italy), Antonino Abbruzzo, Marcello Chiodi, Maria Francesca Cracolici
    Clickstream data analysis and web user profiling via mixture hidden Markov models
25. Giorgia Zaccaria (Università di Milano-Bicocca, Italy), Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Iscar
    Cellwise outlier detection in Gaussian mixture models
26. Yingying Zhang (Western Michigan University, USA), Volodymyr Melnykov
    Finite mixture modeling and model-based clustering for multivariate categorical sequences

Papers for Lightning Talk Sessions + Poster

1. Mara Bernardi, Domenico Perrotta (European Commission, Joint Research Center, Italy), Francesca Torti, Gianluca Morelli, Marco Riani
   Extensions of the least trimmed squares for time series (LTSts) with applications to international trade data
2. Federico Bacchi (Università di Bologna, Italy), Pinuccia Pasqualina Calia, Maria Rosaria Ferrante
   The digital skill diffusion in Europe: a multilevel latent class analysis of “ICT usage in households and by individuals” survey
3. Giulio Giacomo Cantone, Venera Tomaselli (Università di Catania, Italy), Er-Te Zheng, Paul Nightingale
   Similarity-reduced error and uncertainty of classification: what role for large language models?
4. CJ Clarke (University College Dublin, Ireland), Michael Fop
   A Mixture of latent position cluster models for model-based clustering of collections of networks
5. Gabriele d'Angella (Università di Bologna, Italy), Christian Hennig
   A clustering method for biological data in the presence of spatial patterns of differentiation
6. Fabrizio Di Mari (Sapienza Università di Roma, Italy), Roberto Rocci, Roberta De Angelis, Silvia Rossi, Giovanna Tagliabue
   Estimation of the non-parametric component in a relative survival cure model with flexible functions of the covariates
7. Cinzia Di Nuzzo (Università di Catania, Italy)
   Laplacian embedding and spectral clustering for three-way data
8. Pierdomenico Duttilo (Università di Padova, Italy) , Marina Bertolini, Stefano Antonio Gattone
   Clustering electricity market dynamics with hidden Markov models
9. Ultán P. Doherty (Trinity College Dublin, Ireland), Rachel M. McLoughlin, Arthur White
   A semi-supervised mixture model with must-link constraints based on minimal cluster descriptions
10. Ewa Genge (University of Economics in Katowice, Poland)
    A Study of Saving Practices among Older Adults in Poland
11. Przemysław Jaśko (Krakow University of Economics, Poland)
    Stochastic dynamical models in a statistical arbitrage strategy on the stock market
12. Yana Melnykov (University of Alabama, USA)
    On modeling heavy tails and outliers in finite mixture models
13. Semhar Michael (South Dakota State University, USA), Nathan Meyer, Hossein Moradi, Brandon Varilek, Surachat Ngorsuraches, Patti Brooks
    Mixture survival models for a study of end-stage renal disease
14. Mathijs Mol, Barbara Belfi, Zsuzsa Bakk (Leiden University, Netherlands)
    Unravelling the skillsets of data scientists: an unsupervised clustering using text mining analysis of Dutch university master
15. Caterina Morelli (Università di Milano-Bicocca, Italy), Simone Boccaletti, Paolo Maranzano, Philipp Otto
    Pattern and dynamics of ESG scores of European firms: a spatiotemporal cluster analysis
16. Arno F. Otto (University of Pretoria, South Africa), Johan T. Ferreira, Andriëtte Bekker, Salvatore Daniele Tomarchio
    Robust inference and classification via the mean parameterised negative binomial regression model
17. Jan W. Owsiński (Polish Academy of Sciences, Poland), Marek Gajewski
    Navigating Doubtful Ground Truth: the Case of Bots and Humans in the Ad-Related Web Traffic
18. Michail Papathomas (University of St Andrews, United Kingdom)
    Using Bayesian bi-clustering and log-linear graphical modelling to reveal complex dependence structures
19. Jason Pillay (University of Pretoria, South Africa), Antonio Punzo, Johan T. Ferreira, Andriëtte Bekker
    Clustering via scale mixtures of multivariate skew normal distributions with missing data
20. Edoardo Redivo (Università di Bologna, Italy), Cinzia Viroli
    Bayesian Inference for Mixtures of Quantile-based Factor Models
21. Luca Scaffidi Domianello (Università di Catania, Italy), Salvatore Ingrassia
    On assessing the properties of noise contrastive estimation: a simulation approach
22. Lutecia Servius (King's College London, United Kingdom), Davide Pigoli, Joseph Ng, Franca Fraternali
    Accurate prediction of antibody isotype distribution during immune response time course using aggregate data
23. Andrew Simpson (South Dakota State University, USA), Semhar Michael
    Clustering Singular and Non-Singular Covariance Matrices for Classification
24. Andrea Sottosanti (Università di Padova, Italy), Pietro Belloni, Enrico Bovo, Giovanna Boccuzzo
    Hierarchical Bayesian modelling for detecting and clustering mortality profiles in space
25. Hung Tong, Cristina Tortora (San José State University, USA)
    Robust and flexible model-based clustering of missing data using the R package MixtureMissing
26. Francesca Torti (European Commission, Joint Research Center, Italy), Domenico Perrotta, Andrea Cerioli, Lucio Barabesi, Luis Angel Garcia-Escudero, Agustin Mayo-Iscar
    Outlier detection under the multivariate Student-t distribution
27. Delene M. van Wyk-de Ridder (University of Pretoria, University of Cape Town, South Africa), Johan T. Ferreira, Priyanka Nagar
    Spherical normal modulated (SNM) and contaminated spherical normal mixture (CSNM) models for visualisation and clustering
28. Jan Vávra, Arnošt Komárek, Bettina Grün, Gertraud Malsiner-Walli (Vienna University of Economics and Business, Austria)
    Clustering of mixed-type panel data
29. Lingge Wang (University of Alabama, USA), Volodymyr Melnykov
    Finite mixture modeling in dendrochronology: predicting trees’ locations and time periods based on tree ring sequence data

Last update:  3 June 2024.