Massimo Guarascio
Orcid: 0000-0001-7711-9833Affiliations:
- National Research Council, Italy
- University of Calabria, Cosenza, Italy (PhD 2011)
According to our database1,
Massimo Guarascio
authored at least 74 papers
between 2009 and 2023.
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Bibliography
2023
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores.
Soc. Netw. Anal. Min., December, 2023
Sensors, December, 2023
Theory Pract. Log. Program., July, 2023
Neural Comput. Appl., May, 2023
ERCIM News, 2023
ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper).
Proceedings of the 31st Symposium of Advanced Database Systems, 2023
Proceedings of the Italian Conference on Cyber Security (ITASEC 2023), 2023
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities.
Proceedings of the Italia Intelligenza Artificiale, 2023
Proceedings of the Italia Intelligenza Artificiale, 2023
Proceedings of the International Database Engineered Applications Symposium Conference, 2023
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023
Occupancy Prediction in Multi-Occupant IoT Environments Leveraging Federated Learning.
Proceedings of the IEEE Intl Conf on Dependable, 2023
2022
A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources.
IEEE Trans. Geosci. Remote. Sens., 2022
Future Gener. Comput. Syst., 2022
Expert Syst. Appl., 2022
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs.
Bus. Inf. Syst. Eng., 2022
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons.
Proceedings of the Pervasive Knowledge and Collective Intelligence on Web and Social Media, 2022
Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), 2022
Learning and Explanation of Extreme Multi-label Deep Classification Models for Media Content.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022
Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review.
Proceedings of the Digital Sovereignty in Cyber Security: New Challenges in Future Vision, 2022
Proceedings of the 37th Italian Conference on Computational Logic, Bologna, Italy, June 29, 2022
Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022
2021
Inf. Fusion, 2021
Discovering accurate deep learning based predictive models for automatic customer support ticket classification.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
Proceedings of the Italian Conference on Cybersecurity, 2021
2020
ERCIM News, 2020
Proceedings of the ECML PKDD 2020 Workshops, 2020
Proceedings of the ECML PKDD 2020 Workshops, 2020
Proceedings of the Fourth Italian Conference on Cyber Security, 2020
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020
2019
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019
Proceedings of the Encyclopedia of Big Data Technologies., 2019
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events.
Inf. Syst., 2019
Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts.
Appl. Soft Comput., 2019
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019
A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources.
Proceedings of the International Joint Conference on Neural Networks, 2019
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
2018
Int. J. Artif. Intell. Tools, 2018
A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events.
Proceedings of the 22nd International Database Engineering & Applications Symposium, 2018
2017
A descriptive clustering approach to the analysis of quantitative business-process deviances.
Proceedings of the Symposium on Applied Computing, 2017
Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017
Experimenting and Assessing a Probabilistic Business Process Deviance Mining Framework Based on Ensemble Learning.
Proceedings of the Enterprise Information Systems - 19th International Conference, 2017
Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-learning Framework for Detecting Deviances in Business Process Instances.
Proceedings of the ICEIS 2017, 2017
2016
A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances.
Int. J. Cooperative Inf. Syst., 2016
Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016
A multi-view multi-dimensional ensemble learning approach to mining business process deviances.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Availability, Reliability, and Security in Information Systems, 2016
2015
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2015 Conferences, 2015
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes.
Proceedings of the ICEIS 2015, 2015
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators.
Proceedings of the 19th IEEE International Enterprise Distributed Object Computing Conference, 2015
Proceedings of the Business Information Systems - 18th International Conference, 2015
2014
Proceedings of the Enterprise Information Systems - 16th International Conference, 2014
Proceedings of the ICEIS 2014, 2014
Proceedings of the Advanced Information Systems Engineering, 2014
2013
Adaptive Trace Abstraction Approach for Predicting Business Process Performances.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances.
Proceedings of the Enterprise Information Systems - 15th International Conference, 2013
A Data-adaptive Trace Abstraction Approach to the Prediction of Business Process Performances.
Proceedings of the ICEIS 2013, 2013
2012
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2012, 2012
Proceedings of the CAiSE'12 Forum at the 24<sup>th</sup> International Conference on Advanced Information Systems Engineering (CAiSE), 2012
2010
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
Proceedings of the IIR 2010, 2010
Proceedings of the ICDMW 2010, 2010
2009
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009
Proceedings of the ICDM Workshops 2009, 2009
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009