Mauro Scanagatta

According to our database, Mauro Scanagatta authored at least 15 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

A Gamification Platform to Analyze and Influence Citizens' Daily Transportation Choices.

Raman Kazhamiakin, Enrica Loria, Annapaola Marconi, Mauro Scanagatta

IEEE Trans. Intell. Transp. Syst., 2021

How to Design Personalized Challenges for Mobile Motivational Systems? Ask Your Players!

Mauro Scanagatta, Annapaola Marconi

Proceedings of the Games and Learning Alliance - 10th International Conference, 2021

2020

Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference.

Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Calibration of game dynamics for a more even multi-player experience.

Mauro Scanagatta, Michela Ferron, Giulia Deppieri, Annapaola Marconi

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

2019

A survey on Bayesian network structure learning from data.

Mauro Scanagatta, Antonio Salmerón, Fabio Stella

Prog. Artif. Intell., 2019

2018

Approximate structure learning for large Bayesian networks.

Mauro Scanagatta, Giorgio Corani, Cassio Polpo de Campos, Marco Zaffalon

Mach. Learn., 2018

Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets.

Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang

Int. J. Approx. Reason., 2018

Entropy-based pruning for learning Bayesian networks using BIC.

Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon

Artif. Intell., 2018

2017

Improved Local Search in Bayesian Networks Structure Learning.

Mauro Scanagatta, Giorgio Corani, Marco Zaffalon

Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017

2016

Learning extended tree augmented naive structures.

Cassio P. de Campos, Giorgio Corani, Mauro Scanagatta, Marco Cuccu, Marco Zaffalon

Int. J. Approx. Reason., 2016

Air pollution prediction via multi-label classification.

Giorgio Corani, Mauro Scanagatta

Environ. Model. Softw., 2016

Learning Bounded Treewidth Bayesian Networks with Thousands of Variables.

Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon

CoRR, 2016

Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables.

Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Learning Bayesian Networks with Thousands of Variables.

Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks.

Mauro Scanagatta, Cassio P. de Campos, Marco Zaffalon

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014