Mixed sum-product networks: A deep architecture for hybrid domains A Molina, A Vergari, N Di Mauro, S Natarajan, F Esposito, K Kersting Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 130 | 2018 |
Simplifying, regularizing and strengthening sum-product network structure learning A Vergari, N Di Mauro, F Esposito Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 121 | 2015 |
Multi-channel deep feature learning for intrusion detection G Andresini, A Appice, N Di Mauro, C Loglisci, D Malerba IEEE Access 8, 53346-53359, 2020 | 107 | 2020 |
Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation F Esposito, D Malerba, G Semeraro, S Ferilli, O Altamura, TMA Basile, ... First International Workshop on Document Image Analysis for Libraries, 2004 …, 2004 | 89 | 2004 |
Activity prediction of business process instances with inception CNN models N Di Mauro, A Appice, TMA Basile AI* IA 2019–Advances in Artificial Intelligence: XVIIIth International …, 2019 | 73 | 2019 |
Spflow: An easy and extensible library for deep probabilistic learning using sum-product networks A Molina, A Vergari, K Stelzner, R Peharz, P Subramani, N Di Mauro, ... arXiv preprint arXiv:1901.03704, 2019 | 61 | 2019 |
Unsupervised Discretization Using Kernel Density Estimation. M Biba, F Esposito, S Ferilli, N Di Mauro, TMA Basile IJCAI 7, 696-701, 2007 | 60 | 2007 |
Machine learning for digital document processing: from layout analysis to metadata extraction F Esposito, S Ferilli, TMA Basile, N Di Mauro Machine learning in document analysis and recognition, 105-138, 2008 | 56 | 2008 |
Grape: An expert review assignment component for scientific conference management systems N Di Mauro, TMA Basile, S Ferilli International conference on industrial, engineering and other applications …, 2005 | 51 | 2005 |
Visualizing and understanding sum-product networks A Vergari, N Di Mauro, F Esposito Machine Learning 108, 551-573, 2019 | 48 | 2019 |
Exploiting the auto-encoder residual error for intrusion detection G Andresini, A Appice, N Di Mauro, C Loglisci, D Malerba 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2019 | 46 | 2019 |
Coalition structure generation with grasp N Di Mauro, TMA Basile, S Ferilli, F Esposito International Conference on Artificial Intelligence: Methodology, Systems …, 2010 | 46 | 2010 |
A general similarity framework for horn clause logic S Ferilli, TMA Basile, M Biba, N Di Mauro, F Esposito Fundamenta Informaticae 90 (1-2), 43-66, 2009 | 44 | 2009 |
Multi-dimensional relational sequence mining F Esposito, N Di Mauro, T Basile, S Ferilli Fundamenta Informaticae 89 (1), 23-43, 2008 | 43 | 2008 |
Automatic topics identification for reviewer assignment S Ferilli, N Di Mauro, TMA Basile, F Esposito, M Biba Advances in Applied Artificial Intelligence: 19th International Conference …, 2006 | 41 | 2006 |
Incremental multistrategy learning for document processing F Esposito, S Ferilli, N Fanizzi, TMA Basile, N Di Mauro Applied Artificial Intelligence 17 (8-9), 859-883, 2003 | 41 | 2003 |
Applying the information bottleneck to statistical relational learning F Riguzzi, N Di Mauro Machine Learning 86, 89-114, 2012 | 40 | 2012 |
End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification. N Di Mauro, A Vergari, TMA Basile, FG Ventola, F Esposito DC@ PKDD/ECML, 2017 | 33 | 2017 |
Machine learning approaches for inducing student models O Licchelli, TMA Basile, N Di Mauro, F Esposito, G Semeraro, S Ferilli Innovations in Applied Artificial Intelligence: 17th International …, 2004 | 33 | 2004 |
Efficient theta-subsumption under object identity S Ferilli, N Fanizzi, N Di Mauro, TMA Basile AI* IA Workshop su Apprendimento Automatico: Metodi e Applicazioni dell …, 2002 | 33 | 2002 |