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
Improved Local Search in Bayesian Networks Structure Learning
M. Scanagatta, G. Corani, M. Zaffalon
AMBN 2017 (Advanced Methodologies for Bayesian Networks), 45-56
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables
M. Scanagatta, G. Corani, C.P. de Campos, M. Zaffalon
NIPS 2016 (Advances in Neural Information Processing Systems 29), 1462-1470
Learning extended tree augmented naive structures
C.P. de Campos, G. Corani, M. Scanagatta, M. Cuccu, M. Zaffalon
IJAR 2016 (International Journal of Approximate Reasoning 68), 153-163
Air pollution prediction via multi-label classification
G. Corani, M. Scanagatta
EMS 2016 (Environmental Modelling & Software 80), 259-264
Early classification of time series by hidden Markov models with set-valued parameters
A. Antonucci, M. Scanagatta, D.D. Mauá, C.P. de Campos
Proceedings of the NIPS Time Series Workshop 2015
Learning Bayesian networks with thousands of variables
M. Scanagatta, C.P. de Campos, G. Corani, M. Zaffalon
NIPS 2015 (Advances in Neural Information Processing Systems 28), 1864-1872
Min-BDeu and max-BDeu scores for learning Bayesian networks
M. Scanagatta, C.P. De Campos, M. Zaffalon
PGM 2014 (European Workshop on Probabilistic Graphical Models 7), 426-441
Software
I developed a web-service for learning the structure of a Bayesian network from data: BLIP.
Thanks to the state-of-the-art methods developed during my studies it can process datasets with
Contact me: mauro [at] idsia [dot] ch