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 | 1854 | 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 | 821 | 1997 |
Inducing multi-level association rules from multiple relations FA Lisi, D Malerba Machine Learning 55 (2), 175-210, 2004 | 160 | 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 | 158 | 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 | 137 | 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 | 136 | 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 | 124 | 2004 |
Multistrategy learning for document recognition F Esposito, D Malerba, G Semeraro Applied Artificial Intelligence an International Journal 8 (1), 33-84, 1994 | 115 | 1994 |
Autoencoder-based deep metric learning for network intrusion detection G Andresini, A Appice, D Malerba Information Sciences 569, 706-727, 2021 | 114 | 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 | 112 | 2019 |
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 | 110 | 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 | 109 | 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 | 102 | 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 | 96 | 2021 |
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 | 94 | 2015 |
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 | 94 | 1990 |
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 | 93 | 2014 |
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 |
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 | 86 | 2001 |
Nearest cluster-based intrusion detection through convolutional neural networks G Andresini, A Appice, D Malerba Knowledge-Based Systems 216, 106798, 2021 | 80 | 2021 |