Donato Malerba
Donato Malerba
Professor of Computer Science, Dept. of Computer Science, University of Bari "Aldo Moro", Italy
Verified email at - Homepage
Cited by
Cited by
Process mining manifesto
W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ...
Business Process Management Workshops: BPM 2011 International Workshops …, 2012
A comparative analysis of methods for pruning decision trees
F Esposito, D Malerba, G Semeraro
Pattern Analysis and Machine Intelligence, IEEE Transactions on 19 (5), 476-491, 1997
Inducing multi-level association rules from multiple relations
FA Lisi, D Malerba
Machine Learning 55 (2), 175-210, 2004
Classifying web documents in a hierarchy of categories: a comprehensive study
M Ceci, D Malerba
Journal of Intelligent Information Systems 28, 37-78, 2007
Transforming paper documents into XML format with WISDOM++
O Altamura, F Esposito, D Malerba
International Journal on Document Analysis and Recognition 4, 2-17, 2001
Discovery of spatial association rules in geo-referenced census data: A relational mining approach
A Appice, M Ceci, A Lanza, FA Lisi, D Malerba
Intelligent Data Analysis 7 (6), 541-566, 2003
Top-down induction of model trees with regression and splitting nodes
D Malerba, F Esposito, M Ceci, A Appice
IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (5), 612-625, 2004
Autoencoder-based deep metric learning for network intrusion detection
G Andresini, A Appice, D Malerba
Information Sciences 569, 706-727, 2021
Using convolutional neural networks for predictive process analytics
V Pasquadibisceglie, A Appice, G Castellano, D Malerba
2019 international conference on process mining (ICPM), 129-136, 2019
Multistrategy learning for document recognition
F Esposito, D Malerba, G Semeraro
Applied Artificial Intelligence an International Journal 8 (1), 33-84, 1994
Predictive modeling of PV energy production: How to set up the learning task for a better prediction?
M Ceci, R Corizzo, F Fumarola, D Malerba, A Rashkovska
IEEE Transactions on Industrial Informatics 13 (3), 956-966, 2016
CloFAST: closed sequential pattern mining using sparse and vertical id-lists
F Fumarola, PF Lanotte, M Ceci, D Malerba
Knowledge and Information Systems 48, 429-463, 2016
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
GAN augmentation to deal with imbalance in imaging-based intrusion detection
G Andresini, A Appice, L De Rose, D Malerba
Future Generation Computer Systems 123, 108-127, 2021
Completion time and next activity prediction of processes using sequential pattern mining
M Ceci, PF Lanotte, F Fumarola, DP Cavallo, D Malerba
Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia …, 2014
An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization
F Esposito, D Malerba, G Semeraro, E Annese, G Scafuro
[1990] Proceedings. 10th International Conference on Pattern Recognition 1 …, 1990
A co-training strategy for multiple view clustering in process mining
A Appice, D Malerba
IEEE transactions on services computing 9 (6), 832-845, 2015
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
Comparing dissimilarity measures for symbolic data analysis
D Malerba, F Esposito, V Gioviale, V Tamma
Proceedings of Exchange of Technology and Know-how and New Techniques and …, 2001
Nearest cluster-based intrusion detection through convolutional neural networks
G Andresini, A Appice, D Malerba
Knowledge-Based Systems 216, 106798, 2021
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