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2020 – today
- 2021
[j7]Raman Kazhamiakin
, Enrica Loria, Annapaola Marconi, Mauro Scanagatta:
A Gamification Platform to Analyze and Influence Citizens' Daily Transportation Choices. IEEE Trans. Intell. Transp. Syst. 22(4): 2153-2167 (2021)- [c7]Mauro Scanagatta, Annapaola Marconi:
How to Design Personalized Challenges for Mobile Motivational Systems? Ask Your Players! GALA 2021: 245-251 - 2020
- [c6]Mauro Scanagatta, Michela Ferron, Giulia Deppieri, Annapaola Marconi:
Calibration of game dynamics for a more even multi-player experience. IUI 2020: 443-453 - [c5]Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. WSDM 2020: 708-716
2010 – 2019
- 2019
- [j6]Mauro Scanagatta, Antonio Salmerón, Fabio Stella:
A survey on Bayesian network structure learning from data. Prog. Artif. Intell. 8(4): 425-439 (2019) - 2018
- [j5]Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Entropy-based pruning for learning Bayesian networks using BIC. Artif. Intell. 260: 42-50 (2018) - [j4]Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang:
Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets. Int. J. Approx. Reason. 95: 152-166 (2018) - [j3]Mauro Scanagatta, Giorgio Corani, Cassio Polpo de Campos, Marco Zaffalon:
Approximate structure learning for large Bayesian networks. Mach. Learn. 107(8-10): 1209-1227 (2018) - [i3]Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang:
Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets. CoRR abs/1802.02468 (2018) - 2017
- [c4]Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Improved Local Search in Bayesian Networks Structure Learning. AMBN 2017: 45-56 - [i2]Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Entropy-based Pruning for Learning Bayesian Networks using BIC. CoRR abs/1707.06194 (2017) - 2016
- [j2]Giorgio Corani, Mauro Scanagatta:
Air pollution prediction via multi-label classification. Environ. Model. Softw. 80: 259-264 (2016) - [j1]Cassio P. de Campos, Giorgio Corani, Mauro Scanagatta, Marco Cuccu, Marco Zaffalon:
Learning extended tree augmented naive structures. Int. J. Approx. Reason. 68: 153-163 (2016) - [c3]Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon:
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. NIPS 2016: 1462-1470 - [i1]Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon:
Learning Bounded Treewidth Bayesian Networks with Thousands of Variables. CoRR abs/1605.03392 (2016) - 2015
- [c2]Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon:
Learning Bayesian Networks with Thousands of Variables. NIPS 2015: 1864-1872 - 2014
- [c1]Mauro Scanagatta, Cassio P. de Campos, Marco Zaffalon:
Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks. Probabilistic Graphical Models 2014: 426-441
Coauthor Index
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