Probabilistic Graphical Models
Bayesian Hypothesis Testing and Bayesian Hierarchical Models
Imprecise Probability and Credal Classification
My list of Publications
My Google Scholar page.
I co-chaired the Eighth International Conference on Probabilistic Graphical Models (Lugano, September 2016) and co-edited its proceedings.
I co-chaired the Tenth International Symposium on Imprecise Probability: Theories and Applications (Lugano, July 2017) and co-edited its proceedings.
AAAI (2018): AAAI Conference on Artificial Intelligence
ECAI (2014, 2016, 2018): European Conference on Artificial Intelligence
IJCAI (2015, 2016, 2018): Int. Joint Conference on Artificial Intelligence
ISIPTA (2009, 2011, 2013, 2015, 2017): International Symposium on Imprecise Probability: Theories and Applications:
NIPS (2018): Conference on Neural Information Processing Systems
PGM (2014, 2016, 2018): European Workshop on Probabilistic Graphical Models
UAI (2016, 2018): Conference on Uncertainty in Artificial Intelligence
Best Paper Prize at the International Environmental Modelling and Software Conference 2002 (Lugano, Switzerland).
Outstanding reviewer certificate from the journal Environmental Modelling and Software.
Certificate of reviewing from the Int. Journal of Approximate Reasoning.
Bach. of Management Engineering (SUPSI). Main topics: statistical inference and statistical process control.
Uncertain Reasoning and Data Mining
Master of Science in Engineering (SUPSI). Main topics: Bayesian networks and data mining. Co-teacher.
Bayesian hypothesis testing in machine learning
Slides and code of our tutorial at ECML/PKDD 2016:
G. Corani, A. Benavoli, J. Demsar
Naive Credal Classifier
The open source implementation of the naive credal classifier is the JNCC2.
Credal Model Averaging
The R implementation of credal model averaging for logistic regression is due to A. Mignatti. The algorithms are discussed in these two papers (link1, link2). The software and the marmot data set used in those papers is available here.