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
NIPS, 1864-1872, 2015
822015
Air pollution prediction via multi-label classification
G Corani, M Scanagatta
Environmental modelling & software 80, 259-264, 2016
522016
A survey on Bayesian network structure learning from data
M Scanagatta, A Salmerón, F Stella
Progress in Artificial Intelligence 8 (4), 425-439, 2019
502019
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables.
M Scanagatta, G Corani, CP De Campos, M Zaffalon
NIPS, 1462-1470, 2016
312016
Approximate structure learning for large Bayesian networks
M Scanagatta, G Corani, CP De Campos, M Zaffalon
Machine Learning 107 (8), 1209-1227, 2018
262018
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
212016
Entropy-based pruning for learning Bayesian networks using BIC
CP de Campos, M Scanagatta, G Corani, M Zaffalon
Artificial Intelligence 260, 42-50, 2018
162018
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
162018
Improved local search in Bayesian networks structure learning
M Scanagatta, G Corani, M Zaffalon
Advanced Methodologies for Bayesian Networks, 45-56, 2017
122017
Min-BDeu and max-BDeu scores for learning Bayesian networks
M Scanagatta, CP De 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
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
22021
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
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
12020
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
12020
Advancements in Bayesian network structure learning
M Scanagatta
Universitŕ della Svizzera Italiana, 2018
12018
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Articles 1–16