News

2025

[18/07/25] The article "Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America" has been accepted at the 8th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society!
[03/07/25] New preprint "Understanding support for AI regulation: A Bayesian network perspective" now available!
[01/06/25] New preprint "Disentangling Spatial and Structural Drivers of Housing Prices through Bayesian Networks: A Case Study of Madrid, Barcelona, and Valencias" now available!
[15/05/25] New preprint "Uncovering Drivers of EU Carbon Futures with Bayesian Networks" now available!
[15/05/25] New preprint "Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America" now available!
[05/04/25] The article "Predicting and understanding shooting performance in professional biathlon: a Bayesian approach" has now been published in the International Journal of Performance Analysis in Sport.
[01/02/25] The article "Global sensitivity analysis of uncertain parameters in Bayesian networks" has now been published in the International Journal of Approximate Reasoning.
[25/01/25] The article "Staged trees for longitudinal data" has now been published in Metrika.
[10/01/25] The article "bnRep: A repository of Bayesian networks from the academic literature" has now been published in Neurocomputing.
[01/01/25] The article "Evaluation of factors associated with fear and anxiety in the orthodontic treatment of adult patients" has now been published in the Journal of Clinical and Experimental Dentistry.

2024

[01/10/24] New preprint "Predicting and understanding shooting performance in professional biathlon: A Bayesian approach" now available!
[05/10/24] Version 0.0.1 of the extrememix R package is now available on CRAN!
[01/10/24] New preprint "bnRep: A repository of Bayesian networks from the academic literature" now available!
[13/07/24] Version 0.2.1 of the bnmonitor R package is now available on CRAN!
[13/07/24] Version 0.0.1 of the bnRep R package is now available on CRAN!
[12/09/24] The article "Learning staged trees from incomplete data" has now been published in the Proceedings of Machine Learning Research.
[12/09/24] The article "Context-specific refinements of Bayesian network classifiers" has now been published in the Proceedings of Machine Learning Research.
[01/08/24] The article "Robust learning of staged tree models: A case study in evaluating transport services" has now been published in Socio-Economic Planning Sciences.
[13/07/24] Version 0.2.0 of the bnmonitor R package is now available on CRAN!
[08/07/24] New preprint "The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks" now available!
[11/06/24] New preprint "Global sensitivity analysis of uncertain parameters in Bayesian networks" now available!
[29/05/24] New preprint "Learning staged trees from incomplete data" now available!
[29/05/24] New preprint "Context-specific refinements of Bayesian network classifiers" now available!
[20/05/24] New preprint "An analysis of factors impacting team strengths in the Australian Football League using time-variant Bradley-Terry models" now available!
[08/03/24] The article "Staged trees and asymmetry-labeled DAGs" has now been published in Metrika.
[15/02/24] The article "Structural learning of simple staged trees" has now been published in Data Mining and Knowledge Discovery.
[17/01/24] The article "Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear" has now been published in Applied Intelligence.
[09/01/24] New preprint "Staged trees for discrete longitudinal data" jointly with Jack Storror Carter, Eva Riccomagno, and Alessandro Ugolini.
[03/01/24] New preprint "Robust learning of staged tree models: A case study in evaluating transport services" jointly with Gherardo Varando.

2023

[27/10/23] External examiner of the PhD Thesis "Multivariate time-series modelling and forecasting with high-order dynamic Bayesian networks applied in industrial settings" by David Quesada Lopez at the Universidad Politecnica de Madrid.

manuele.leonelli@ie.edu

Assistant Professor of Statistics
School of Science and Technology
IE University, Madrid, Spain