| Discovering context-aware models for predicting business process performances F Folino, M Guarascio, L Pontieri OTM Confederated International Conferences" On the Move to Meaningful …, 2012 | 153 | 2012 |
| On learning effective ensembles of deep neural networks for intrusion detection F Folino, G Folino, M Guarascio, FS Pisani, L Pontieri Information Fusion 72, 48-69, 2021 | 80 | 2021 |
| Boosting cyber-threat intelligence via collaborative intrusion detection M Guarascio, N Cassavia, FS Pisani, G Manco Future Generation Computer Systems 135, 30-43, 2022 | 71 | 2022 |
| A Deep Learning Approach for Detecting Security Attacks on Blockchain F Scicchitano, A Liguori, M Guarascio, E Ritacco, G Manco ITASEC, 2020 | 60 | 2020 |
| Mining predictive process models out of low-level multidimensional logs F Folino, M Guarascio, L Pontieri International conference on advanced information systems engineering, 533-547, 2014 | 57 | 2014 |
| Mining multi-variant process models from low-level logs F Folino, M Guarascio, L Pontieri International conference on business information systems, 165-177, 2015 | 37 | 2015 |
| Deep learning M Guarascio, G Manco, E Ritacco Encyclopedia of bioinformatics and computational biology 1, 634-647, 2018 | 34 | 2018 |
| A data-driven prediction framework for analyzing and monitoring business process performances A Bevacqua, M Carnuccio, F Folino, M Guarascio, L Pontieri International Conference on Enterprise Information Systems, 100-117, 2013 | 33 | 2013 |
| A cloud-based prediction framework for analyzing business process performances E Cesario, F Folino, M Guarascio, L Pontieri International Conference on Availability, Reliability, and Security, 63-80, 2016 | 32 | 2016 |
| A multi-view multi-dimensional ensemble learning approach to mining business process deviances A Cuzzocrea, F Folino, M Guarascio, L Pontieri 2016 International Joint Conference on Neural Networks (IJCNN), 3809-3816, 2016 | 32 | 2016 |
| Emerging challenges and perspectives in Deep Learning model security: A brief survey L Caviglione, C Comito, M Guarascio, G Manco Systems and Soft Computing 5, 200050, 2023 | 31 | 2023 |
| Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events A Cuzzocrea, F Folino, M Guarascio, L Pontieri Information Systems 81, 236-266, 2019 | 31 | 2019 |
| A machine learning approach for rainfall estimation integrating heterogeneous data sources M Guarascio, G Folino, F Chiaravalloti, S Gabriele, A Procopio, ... IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2020 | 29 | 2020 |
| Context-aware predictions on business processes: an ensemble-based solution F Folino, M Guarascio, L Pontieri International Workshop on New Frontiers in Mining Complex Patterns, 215-229, 2012 | 29 | 2012 |
| Discovering High-Level Performance Models for Ticket Resolution Processes: (Short Paper) F Folino, M Guarascio, L Pontieri OTM Confederated International Conferences" On the Move to Meaningful …, 2013 | 28 | 2013 |
| High quality true-positive prediction for fiscal fraud detection S Basta, F Fassetti, M Guarascio, G Manco, F Giannotti, D Pedreschi, ... 2009 IEEE International Conference on Data Mining Workshops, 7-12, 2009 | 26 | 2009 |
| A robust and versatile multi-view learning framework for the detection of deviant business process instances A Cuzzocrea, F Folino, M Guarascio, L Pontieri International Journal of Cooperative Information Systems 25 (04), 1740003, 2016 | 24 | 2016 |
| A multi-view learning approach to the discovery of deviant process instances A Cuzzocrea, F Folino, M Guarascio, L Pontieri OTM Confederated International Conferences" On the Move to Meaningful …, 2015 | 24 | 2015 |
| Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning N Cassavia, L Caviglione, M Guarascio, G Manco, M Zuppelli Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable …, 2022 | 22 | 2022 |
| Discovering accurate deep learning based predictive models for automatic customer support ticket classification P Zicari, G Folino, M Guarascio, L Pontieri Proceedings of the 36th annual ACM symposium on applied computing, 1098-1101, 2021 | 22 | 2021 |
luigi pontieriResearcher, CNR, ICARVerified email at icar.cnr.it
