| 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 | 1915 | 2012 |
| Discovering expressive process models by clustering log traces G Greco, A Guzzo, L Pontieri, D Sacca IEEE Transactions on knowledge and data engineering 18 (8), 1010-1027, 2006 | 439 | 2006 |
| Process mining based on clustering: A quest for precision AKA De Medeiros, A Guzzo, G Greco, WMP Van der Aalst, A Weijters, ... Business Process Management Workshops: BPM 2007 International Workshops, BPI …, 2008 | 202 | 2008 |
| Mining expressive process models by clustering workflow traces G Greco, A Guzzo, L Pontieri, D Sacca Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference …, 2004 | 103 | 2004 |
| Mining and reasoning on workflows G Greco, A Guzzo, G Manco, D Sacca IEEE transactions on knowledge and data engineering 17 (4), 519-534, 2005 | 96 | 2005 |
| Mining hierarchies of models: From abstract views to concrete specifications G Greco, A Guzzo, L Pontieri International conference on Business Process management, 32-47, 2005 | 90 | 2005 |
| Outlier detection techniques for process mining applications L Ghionna, G Greco, A Guzzo, L Pontieri Foundations of Intelligent Systems: 17th International Symposium, ISMIS 2008 …, 2008 | 86 | 2008 |
| Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction F Folino, G Greco, A Guzzo, L Pontieri Data & Knowledge Engineering 70 (12), 1005-1029, 2011 | 76 | 2011 |
| Mining taxonomies of process models G Greco, A Guzzo, L Pontieri Data & Knowledge Engineering 67 (1), 74-102, 2008 | 69 | 2008 |
| Model aggregation techniques in federated learning: A comprehensive survey P Qi, D Chiaro, A Guzzo, M Ianni, G Fortino, F Piccialli Future Generation Computer Systems 150, 272-293, 2024 | 57 | 2024 |
| Process discovery under precedence constraints G Greco, A Guzzo, F Lupia, L Pontieri ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (4), 1-39, 2015 | 47 | 2015 |
| DeepBreastCancerNet: A novel deep learning model for breast cancer detection using ultrasound images A Raza, N Ullah, JA Khan, M Assam, A Guzzo, H Aljuaid Applied Sciences 13 (4), 2082, 2023 | 46 | 2023 |
| An ontology-driven process modeling framework G Greco, A Guzzo, L Pontieri, D Saccà Database and Expert Systems Applications: 15th International Conference …, 2004 | 46 | 2004 |
| Process mining applications in the healthcare domain: A comprehensive review A Guzzo, A Rullo, E Vocaturo Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (2 …, 2022 | 39 | 2022 |
| Predicting activities of daily living via temporal point processes: Approaches and experimental results G Fortino, A Guzzo, M Ianni, F Leotta, M Mecella Computers & Electrical Engineering 96, 107567, 2021 | 34 | 2021 |
| Causal knowledge fusion for 3D cross-modality cardiac image segmentation S Guo, X Liu, H Zhang, Q Lin, L Xu, C Shi, Z Gao, A Guzzo, G Fortino Information Fusion 99, 101864, 2023 | 33 | 2023 |
| Coclustering multiple heterogeneous domains: Linear combinations and agreements G Greco, A Guzzo, L Pontieri IEEE Transactions on Knowledge and Data Engineering 22 (12), 1649-1663, 2009 | 33 | 2009 |
| An effective approach to inverse frequent set mining A Guzzo, D Sacca, E Serra 2009 Ninth IEEE International Conference on Data Mining, 806-811, 2009 | 29 | 2009 |
| Intrusion detection with hypergraph-based attack models A Guzzo, A Pugliese, A Rullo, D Sacca Graph Structures for Knowledge Representation and Reasoning: Third …, 2014 | 26 | 2014 |
| Discovering expressive process models from noised log data F Folino, G Greco, A Guzzo, L Pontieri Proceedings of the 2009 international database engineering & applications …, 2009 | 25 | 2009 |
