Giorgio Corani

About me

PhD in Information Engineering (Politecnico di Milano)

Senior researcher at IDSIA, member of the Imprecise Probability Group.

Research interests

Probabilistic forecasting

Probabilistic Graphical Models

Bayesian Statistics and Machine Learning

Applied Statistics


My list of Publications

My Google Scholar page.

Best Paper Prize at the International Environmental Modelling and Software Conference 2002 (Lugano, Switzerland).

Conferences organization: PGM 2016 & ISIPTA 2017

I have co-organized, co-chaired and co-edited the proceedings of two conferences, held in Lugano in respectively 2016 and 2017:

  • PGM 2016 (The Eighth International Conference on Probabilistic Graphical Models)

  • ISIPTA 2017 (The Tenth International Symposium on Imprecise Probability: Theories and Applications)

Program committees

AISTATS (2020): The International Conference on Artificial Intelligence and Statistics

AAAI (2018 ,2019, 2020, 2021, 2022): AAAI Conference on Artificial Intelligence

IJCAI (2015, 2016, 2018, 2019, 2021, 2022): Int. Joint Conference on Artificial Intelligence

UAI (2016, 2018, 2019, 2020, 2021): Conference on Uncertainty in Artificial Intelligence

NIPS (2018, 2019, 2020): Conference on Neural Information Processing Systems

ECAI (2014, 2016, 2018): European Conference on Artificial Intelligence

PGM (2014, 2016, 2018, 2020): European Workshop on Probabilistic Graphical Models

ISIPTA (2009, 2011, 2013, 2015, 2017, 2019): International Symposium on Imprecise Probability: Theories and Applications:

DMIN (2011 , 2012 , 2013 , 2014 ): International Conference on Data Mining


Reviewer for many different journals such as Machine Learning, Artificial Intelligence, Artificial Intelligence in Medicine, etc.

Outstanding reviewer certificate from the journal Environmental Modelling and Software.

Certificate of reviewing from the Int. Journal of Approximate Reasoning.


Uncertain Reasoning and Data Mining (2010 --2019)

Master of Science in Information Technology (co -teacher).

Applied Statistics (2010 -- present)

Bachelor of Business Engineering.

Analysis of Sequential Data (2018 -- present)

Master of Science in Data Science (co -teacher).


GP forecast

Our method for automatic forecasting with Gaussian Processes, published at ECML PKDD 2021:

Interface for Python and R.

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.