Massimo Guarascio

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luigi pontieriResearcher, CNR, ICARVerified email at icar.cnr.it
Francesco FolinoResearcher, CNR, ICARVerified email at icar.cnr.it
Giuseppe MancoICAR-CNR, ISI-CNR, Università della Calabria, Università di PisaVerified email at icar.cnr.it
Ettore RitaccoICAR CNRVerified email at icar.cnr.it
Gianluigi FolinoSenior Researcher at ICAR-CNRVerified email at icar.cnr.it
Angelica LiguoriDepartment of Computer Engineering, Modeling, Electronics and, Systems, University of CalabriaVerified email at icar.cnr.it
Alfredo CuzzocreaProfessor of Computer Engineering, University of Calabria, ItalyVerified email at si.dimes.unical.it
Luca CaviglioneSenior Researcher at National Research Council of ItalyVerified email at ge.imati.cnr.it
Marco ZuppelliResearch fellow at IMATI - CNRVerified email at ge.imati.cnr.it
Nunziato CassaviaPhd Student, Universtà della CalabriaVerified email at dimes.unical.it
Francesco Sergio PisaniIcar-CNRVerified email at icar.cnr.it
Francesco ScicchitanoIstituto di Calcolo e Reti ad Alte Prestazioni del Consiglio Nazionale delle Ricerche (ICAR-CNR)Verified email at icar.cnr.it
Francesco ChiaravallotiCNR-IRPIVerified email at irpi.cnr.it
Paolo ZicariDIMES University of CalabriaVerified email at dimes.unical.it
Carmela ComitoNational Research Council of Italy (CNR)- Institute for High Performance Computing and NetworkingVerified email at icar.cnr.it
Fabio FassettiAssistant Professor, DIMES Dept., University of CalabriaVerified email at dimes.unical.it
Salvatore GabrieleCNRVerified email at irpi.cnr.it
Eugenio CesarioAssociate Professor of Computer Engineering, University of CalabriaVerified email at unical.it
Dino PedreschiProfessor of Computer Science, University of PisaVerified email at di.unipi.it
Fosca Giannottiprofessor at Scuola Normale Superiore di PisaVerified email at sns.it

Massimo Guarascio

Researcher, Institute for high performance computing and networking (ICAR-CNR)

Verified email at icar.cnr.it - Homepage

Deep Learning Machine Learning Information Systems Anomaly detection


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Discovering context-aware models for predicting business process performances F Folino, M Guarascio, L Pontieri On the Move to Meaningful Internet Systems: OTM 2012: Confederated …, 2012	143	2012
Mining predictive process models out of low-level multidimensional logs F Folino, M Guarascio, L Pontieri Advanced Information Systems Engineering: 26th International Conference …, 2014	49	2014
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	41	2021
A Deep Learning Approach for Detecting Security Attacks on Blockchain F Scicchitano, A Liguori, M Guarascio, E Ritacco, G Manco ITASEC, 2020	38	2020
Mining multi-variant process models from low-level logs F Folino, M Guarascio, L Pontieri Business Information Systems: 18th International Conference, BIS 2015 …, 2015	27	2015
A data-driven prediction framework for analyzing and monitoring business process performances A Bevacqua, M Carnuccio, F Folino, M Guarascio, L Pontieri Enterprise Information Systems: 15h International Conference, ICEIS 2013 …, 2014	27	2014
A cloud-based prediction framework for analyzing business process performances E Cesario, F Folino, M Guarascio, L Pontieri Availability, Reliability, and Security in Information Systems: IFIP WG 8.4 …, 2016	25	2016
Deep learning M Guarascio, G Manco, E Ritacco Academic Press, 2019	24	2019
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	24	2016
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	23	2009
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators F Francesco, M Guarascio, P Luigi IEEE International Enterprise Distributed Object Computing Conference, EDOC …, 2015	22*	2015
Discovering High-Level Performance Models for Ticket Resolution Processes: (Short Paper) F Folino, M Guarascio, L Pontieri On the Move to Meaningful Internet Systems: OTM 2013 Conferences …, 2013	22	2013
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	21	2019
Context-aware predictions on business processes: an ensemble-based solution F Folino, M Guarascio, L Pontieri New Frontiers in Mining Complex Patterns: First International Workshop …, 2013	21	2013
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	17	2016
A Data-adaptive Trace Abstraction Approach to the Prediction of Business Process Performances A Bevacqua, M Carnuccio, F Folino, M Guarascio, L Pontieri ICEIS (1), 56-65, 2013	17	2013
Knowledge discovery in databases M Guarascio, G Manco, E Ritacco Encyclopedia of Bioinformatics and Computational Biology: ABC of …, 2018	16	2018
Boosting cyber-threat intelligence via collaborative intrusion detection M Guarascio, N Cassavia, FS Pisani, G Manco Future Generation Computer Systems 135, 30-43, 2022	15	2022
A multi-view learning approach to the discovery of deviant process instances A Cuzzocrea, F Folino, M Guarascio, L Pontieri On the Move to Meaningful Internet Systems: OTM 2015 Conferences …, 2015	15	2015
Rule learning with probabilistic smoothing G Costa, M Guarascio, G Manco, R Ortale, E Ritacco International Conference on Data Warehousing and Knowledge Discovery, 428-440, 2009	13	2009

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