Nicola Di Mauro
Nicola Di Mauro
Associate Professor of Computer Science, University of Bari
Vahvistettu sähköpostiosoite verkkotunnuksessa uniba.it - Kotisivu
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Simplifying, regularizing and strengthening sum-product network structure learning
A Vergari, N Di Mauro, F Esposito
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
902015
Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation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
872004
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
702018
Unsupervised Discretization Using Kernel Density Estimation.
M Biba, F Esposito, S Ferilli, N Di Mauro, TMA Basile
IJCAI, 696-701, 2007
562007
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
432008
Multi-dimensional relational sequence mining
F Esposito, N Di Mauro, T Basile, S Ferilli
Fundamenta Informaticae 89 (1), 23-43, 2008
402008
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
392003
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
382009
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
362005
Coalition structure generation with grasp
N Di Mauro, TMA Basile, S Ferilli, F Esposito
International Conference on Artificial Intelligence: Methodology, Systems …, 2010
342010
Applying the information bottleneck to statistical relational learning
F Riguzzi, N Di Mauro
Machine Learning 86 (1), 89-114, 2012
332012
Automatic topics identification for reviewer assignment
S Ferilli, N Di Mauro, TMA Basile, F Esposito, M Biba
International Conference on Industrial, Engineering and Other Applications …, 2006
322006
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
312004
Machine learning approaches for inducing student models
O Licchelli, TMA Basile, N Di Mauro, F Esposito, G Semeraro, S Ferilli
International Conference on Industrial, Engineering and Other Applications …, 2004
292004
Visualizing and understanding sum-product networks
A Vergari, N Di Mauro, F Esposito
Machine Learning 108 (4), 551-573, 2019
272019
Forecasting across time series databases using long short-term memory networks on groups of similar series
K Bandara, C Bergmeir, S Smyl
arXiv preprint arXiv:1710.03222 8, 805-815, 2017
272017
Efficient θ-subsumption under object identity
S Ferilli, N Fanizzi, N Di Mauro, TMA Basile
AI* IA Workshop su Apprendimento Automatico: Metodi e Applicazioni dell …, 2002
252002
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
242019
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
192017
Sum-product autoencoding: Encoding and decoding representations using sum-product networks
A Vergari, R Peharz, N Di Mauro, A Molina, K Kersting, F Esposito
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
182018
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Artikkelit 1–20