From 2019 to 2022

2022

  • Using Mixed-Effect Models to Learn Bayesian Networks from Related Data Sets. [ pdf ]
    11th International Conference on Probabilistic Graphical Models (PGM), Almerìa (October 5–7, 2022).
  • Bayesian Network Models for Continuous-Time and Structured Data. [ pdf ]
    School of Computation, Information and Technology, Technische Universität München (September 8, 2022).
  • Mapping Complex Data with Bayesian Networks. [ pdf ]
    Department of Systems Innovation, Graduate School of Engineering Science, Osaka University; and online for the Behaviormetric Society (April 6, 2022).

2021

  • Bayesian Networks: How We Can Use Them as Probabilistic and Causal Models. [ pdf ]
    Digital Health Lab Day, Zurich University of Applied Sciences (ZHAW), Winterthur (September 16, 2021).
  • Mapping Complex Data with Bayesian Networks. [ pdf ]
    Spring Meeting of the Dutch Statistical Society (May 21, 2021).
  • Bayesian Networks and their Extensions in Modern Machine Learning. [ pdf (long version) | pdf (short version) ]
    Department of Economics and Management, Univesity of Brescia (April 8, 2021). And again at the Department of Economics, University of Crete (October 13, 2021). And again at the Center for Complexity & Biosystems, University of Milano (February 28, 2022).
  • What is Machine Learning? [ pdf ]
    Centre for Doctoral Training, European School of Molecular Medicine, European Institute of Oncology (March 8, 2021).

2020

  • Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data. [ pdf ]
    10th International Conference on Probabilistic Graphical Models (PGM), Aalborg (September 23–25, 2020).

2019

  • The Regional Dimension: a Bayesian Network Analysis. [ pdf ]
    Technical Workshop on “Analytical Tools for Capacity Building on Quantitative Methods for SDG Interaction and Integration in National Development Strategies and Integrated Planning”, United Nations Economic Commission for Africa (UNECA), Addis Ababa (December 18, 2019).
  • Challenges in Bayesian Network Modelling of Climate and Weather Data. [ pdf ]
    The 1st Artificial Intelligence for Copernicus Workshop. European Centre for Medium-Range Weather Forecasts, Reading (November 6, 2019).
  • bnlearn: Practical Bayesian Networks in R. [ html ]
    useR! Conference, Toulouse (July 9, 2019). And again at the Centre for Doctoral Training, European School of Molecular Medicine, European Institute of Oncology (March, 2021-2022). And again at the Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto (April 18, 2022).
  • Bayesian Networks, Big Data and Greedy Search: Efficient Implementation with Classic Statistics. [ pdf ]
    Department of Systems Innovation, Graduate School of Engineering Science, Osaka University (April 3, 2019).