Follow
Mauro Scanagatta
Mauro Scanagatta
Researcher, FBK - DAS
Verified email at fbk.eu - Homepage
Title
Cited by
Cited by
Year
Learning Bayesian networks with thousands of variables
M Scanagatta, CP de Campos, G Corani, M Zaffalon
Advances in neural information processing systems 28, 2015
1032015
A survey on Bayesian network structure learning from data
M Scanagatta, A Salmerón, F Stella
Progress in Artificial Intelligence 8 (4), 425-439, 2019
982019
Air pollution prediction via multi-label classification
G Corani, M Scanagatta
Environmental modelling & software 80, 259-264, 2016
642016
Learning treewidth-bounded Bayesian networks with thousands of variables
M Scanagatta, G Corani, CP De Campos, M Zaffalon
Advances in neural information processing systems 29, 2016
402016
Approximate structure learning for large Bayesian networks
M Scanagatta, G Corani, CP De Campos, M Zaffalon
Machine Learning 107 (8), 1209-1227, 2018
352018
Entropy-based pruning for learning Bayesian networks using BIC
CP de Campos, M Scanagatta, G Corani, M Zaffalon
Artificial Intelligence 260, 42-50, 2018
282018
Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets
M Scanagatta, G Corani, M Zaffalon, J Yoo, U Kang
International Journal of Approximate Reasoning 95, 152-166, 2018
252018
Learning extended tree augmented naive structures
CP de Campos, G Corani, M Scanagatta, M Cuccu, M Zaffalon
International Journal of Approximate Reasoning 68, 153-163, 2016
252016
Improved local search in Bayesian networks structure learning
M Scanagatta, G Corani, M Zaffalon
Advanced Methodologies for Bayesian Networks, 45-56, 2017
142017
A gamification platform to analyze and influence citizens’ daily transportation choices
R Kazhamiakin, E Loria, A Marconi, M Scanagatta
IEEE Transactions on Intelligent Transportation Systems 22 (4), 2153-2167, 2021
102021
Min-BDeu and max-BDeu scores for learning Bayesian networks
M Scanagatta, CP Campos, M Zaffalon
European Workshop on Probabilistic Graphical Models, 426-441, 2014
92014
Early classification of time series by hidden markov models with set-valued parameters
A Antonucci, M Scanagatta, DD Mauá, CP de Campos
Proceedings of the NIPS time series workshop, 1-5, 2015
82015
Sampling subgraphs with guaranteed treewidth for accurate and efficient graphical inference
J Yoo, U Kang, M Scanagatta, G Corani, M Zaffalon
Proceedings of the 13th International Conference on Web Search and Data …, 2020
62020
Calibration of game dynamics for a more even multi-player experience
M Scanagatta, M Ferron, G Deppieri, A Marconi
Proceedings of the 25th International Conference on Intelligent User …, 2020
52020
Learning Bounded Treewidth Bayesian Networks with Thousands of Variables
M Scanagatta, G Corani, CP de Campos, M Zaffalon
arXiv preprint arXiv:1605.03392, 2016
22016
Advancements in Bayesian network structure learning
M Scanagatta
Universitŕ della Svizzera Italiana, 2018
12018
Automatic Calibration for a Mutual Insurance System in a Multi-Player Serious Game
M Scanagatta, A Marconi
European Conference on Games Based Learning 16 (1), 508-517, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–17