متابعة
Donato Malerba
Donato Malerba
Professor of Computer Science, Dept. of Computer Science, University of Bari "Aldo Moro", Italy
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
20202012
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
8631997
Classifying web documents in a hierarchy of categories: a comprehensive study‏
M Ceci, D Malerba‏
Journal of Intelligent Information Systems 28, 37-78, 2007‏
1612007
Inducing multi-level association rules from multiple relations‏
FA Lisi, D Malerba‏
Machine Learning 55 (2), 175-210, 2004‏
1612004
Autoencoder-based deep metric learning for network intrusion detection‏
G Andresini, A Appice, D Malerba‏
Information Sciences 569, 706-727, 2021‏
1482021
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
1412019
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
1372001
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
1352003
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
1322004
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
1292020
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
1272021
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
1212016
Multistrategy learning for document recognition‏
F Esposito, D Malerba, G Semeraro‏
Applied Artificial Intelligence an International Journal 8 (1), 33-84, 1994‏
1211994
CloFAST: closed sequential pattern mining using sparse and vertical id-lists‏
F Fumarola, PF Lanotte, M Ceci, D Malerba‏
Knowledge and Information Systems 48 (2), 429-463, 2016‏
1112016
Nearest cluster-based intrusion detection through convolutional neural networks‏
G Andresini, A Appice, D Malerba‏
Knowledge-Based Systems 216, 106798, 2021‏
1032021
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
1022014
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
992015
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
951990
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
902004
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
842001
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20