Nicola Di Mauro
Nicola Di Mauro
Associate Professor of Computer Science, University of Bari
Verified email at - Homepage
Cited by
Cited by
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
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
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
Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation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
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
Unsupervised Discretization Using Kernel Density Estimation.
M Biba, F Esposito, S Ferilli, N Di Mauro, TMA Basile
IJCAI 7, 696-701, 2007
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
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
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
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
Visualizing and understanding sum-product networks
A Vergari, N Di Mauro, F Esposito
Machine Learning 108, 551-573, 2019
Coalition structure generation with grasp
N Di Mauro, TMA Basile, S Ferilli, F Esposito
International Conference on Artificial Intelligence: Methodology, Systems …, 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
Multi-dimensional relational sequence mining
F Esposito, N Di Mauro, T Basile, S Ferilli
Fundamenta Informaticae 89 (1), 23-43, 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
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
Applying the information bottleneck to statistical relational learning
F Riguzzi, N Di Mauro
Machine Learning 86, 89-114, 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
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
Incremental learning and concept drift in inthelex
F Esposito, S Ferilli, N Fanizzi, TMA Basile, N Di Mauro
Intelligent Data Analysis 8 (3), 213-237, 2004
The system can't perform the operation now. Try again later.
Articles 1–20