I'm a Ph.D. student at IDSIA, working in the IPG (Imprecise Probability Group).

My research topic is Bayesian network structure learning. You can take a look to my work below or in my scholar.# Publications

**Learning extended tree augmented naive structures**

de Campos, C.P. and Corani, G. and Scanagatta, M. and Cuccu, M. and Zaffalon, M.

Accepted in International Journal of Approximate Reasoning. 68, pp. 153–163.

**Air pollution prediction via multi-label classification**

Corani, G. and Scanagatta, M.

Published in Environmental Modelling & Software 80, pp. 259–264.

**Early classification of time series by hidden Markov models with set-valued parameters **

Antonucci, A. and Scanagatta, M. and Mauà, D.D. and de Campos, C.P.

Published in Proceedings of the NIPS Time Series Workshop 2015.

**Learning Bayesian networks with thousands of variables
**

Scanagatta, M. and de Campos, C.P. and Corani, G. and Zaffalon, M.

Published in NIPS 2015: Advances in Neural Information Processing Systems 28 NIPS.

**Min-BDeu and max-BDeu scores for learning Bayesian networks
**

Scanagatta, M. and de Campos, C.P. and Zaffalon, M.

PPublished in PGM'14: Proceedings of the Seventh European Workshop on Probabilistic Graphical Models, pp. 426–441.

# Software

We developed a web-service for any Bayesian network structure learning task: BLIP.

We can take care of the whole process: learning the scores, learning the network, learning the parameters. You can simply provide your dataset and obtain your learned network!

Contact me: mauro [at] idsia [dot] ch