Maria Carla Calzarossa Homepage > Recent publications

Some Recent Publications

M. Calzarossa, P. Giudici and R. Zieni. Explainable Machine Learning for Bag of Words-Based Phishing Detection. In: Longo, L. (ed) Explainable Artificial Intelligence. xAI 2023. Communications in Computer and Information Science, vol 1901. Springer. https://doi.org/10.1007/978-3-031-44064-9_28.
M. Calzarossa, P. Giudici and R. Zieni. Explainable machine learning for phishing feature detection Quality Reliability Engineering International. 2023. https://doi.org/10.1002/qre.3411a. [Open access]
R. Zieni, L. Massari and M. Calzarossa. Phishing or Not Phishing? A Survey on the Detection of Phishing Websites. IEEE Access, vol. 11, pp. 18499-18519, 2023, doi: 10.1109/ACCESS.2023.3247135. [Open access]
G. Nebbione and M. Calzarossa. A Methodological Framework for AI-Assisted Security Assessments of Active Directory Environments. IEEE Access, vol. 11, pp. 15119-15130, 2023, doi: 10.1109/ACCESS.2023.3244490. [Open access]
M. Calzarossa, M. Della Vedova, L. Massari, G. Nebbione and D. Tessera. Multi-objective optimization of deadline and budget-aware workflow scheduling in uncertain clouds. IEEE Access, vol. 9, pp. 89891-89905, 2021, doi: 10.1109/ACCESS.2021.3091310. [Open access]
M. Calzarossa, L. Massari, D. Tessera. Performance Monitoring Guidelines. Proc. of the Companion of the ACM/SPEC International Conference on Performance Engineering, pages 109-114, 2021
G. Nebbione, M. Calzarossa. Security of IoT Application Layer Protocols: Challenges and Findings. Future Internet, 12, 55, 2020. [preprint]
M. Calzarossa, L. Massari, D. Tessera. Evaluation of cloud autoscaling strategies under different incoming workload patterns. Concurrency and Computation: Practice and Experience, 2020;e5667. https://doi.org/10.1002/cpe.5667 [preprint]
D. Doran, L. Massari, M. Calzarossa, Y. Li, D. Tessera, J. Zhang. User interactions and behaviors in a large-scale online emotional support service. Social Network Analysis and Mining, 2019. [preprint]
M. Calzarossa, M. Della Vedova and D. Tessera. A methodological framework for cloud resource provisioning and scheduling of data parallel applications under uncertainty. Future Generation Computer Systems, vol. 93, pp. 212-223, 2019. [preprint]
M. Calzarossa, M. Della Vedova, L. Massari, G. Nebbione and D. Tessera. Modeling and Predicting Dynamics of Heterogeneous Workloads for Cloud Environments, In Proc. IEEE Symposium on Computers and Communication (ISCC), 2019. [preprint]
M. Calzarossa, M. Della Vedova, L. Massari, G. Nebbione and D. Tessera. Tuning Genetic Algorithms for resource provisioning and scheduling in unc ertain cloud environments: Challenges and findings, Proc. 27th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing - PDP, 2019. [preprint]
M. Calzarossa, M. Della Vedova, L. Massari, G. Nebbione and D. Tessera. A methodological approach for time series analysis and forecasting of web dynamics, Transactions on Computational Collective Intelligence, Springer, 2019. [preprint]
M. Calzarossa, and D. Tessera. Analysis and Forecasting of Web Content Dynamics. Proc. 14th International Symposium on Frontiers of Information Systems and Network Applications (WAINA-2018), 2018. [preprint]
M. Calzarossa, L. Massari, M.I.M. Tabash and D. Tessera. Cloud autoscaling for HTTP/2 workloads. Proc. of the 3rd International Conference on Cloud Computing Technologies and Applications (CloudTech'17), 2017. [preprint]
M.L. Della Vedova, D. Tessera, M.C. Calzarossa, and J. Weinman. The Economics of Cloud Parallelism under Uncertainty. IEEE Cloud Computing, 3(6):16–22, 2016.
M. Della Vedova, D. Tessera, and M.C. Calzarossa. Probabilistic Provisioning and Scheduling in Uncertain Cloud Environments. In Proc. IEEE Symposium on Computers and Communication (ISCC), pages 797-803, 2016. [preprint]
M.C. Calzarossa, L. Massari, D. Doran, S. Yelne, N. Trivedi, and G. Moriarty. Measuring the Users and Conversations of a Vibrant Online Emotional Support System. In Proc. IEEE Symposium on Computers and Communication (ISCC), pages 1193-1199, 2016.
M. Calzarossa, L. Massari and D. Tessera. Workload characterization: A survey revisited. ACM Computing Surveys, vol. 48, article 48, pages 48-1-48-43, 2016.
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M. Calzarossa, M.L. Della Vedova, L. Massari, D. Petcu, M.I.M. Tabash and D. Tessera. Workloads in the Clouds. In L. Fiondella and A. Puliafito, editors, Principles of Performance and Reliability Modeling and Evaluation, Springer Series in Reliability Engineering, pages 525-550, Springer, 2016. [preprint]
U. Villano, S. Cagnoni, M. Calzarossa, A. Di Stefano, B. Di Martino. Cloudifier: An Ecosystem for the Migration of Distributed Applications to the Cloud. Proc. 30th International Conference on Advanced Information Networking and Applications Workshops, AINA 2016 Workshops, pages 159-164, 2016.
M. Calzarossa and D. Tessera. Modeling and Predicting Temporal Patterns of Web Content Changes. Journal of Network and Computer Applications, Elsevier, vol. 56, pages 115-123, 2015. Open access at Elsevier
D. Doran, S. Yelne, L. Massari, M. Calzarossa, L. Jackson, G. Moriarty, Stay Awhile and Listen: User Interactions in a Crowdsourced Platform Offering Emotional Support. In Proc. of the IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining - ASONAM'15, pp. 667-674, Paris, 2015. [Best paper award] [preprint]
M. Calzarossa and D. Tessera Multivariate analysis of Web content changes. In Proc. of the 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA' 2014), IEEE Computer Society Press, pages 699-706, 2014. [preprint]
M. Calzarossa and L. Massari. Analysis of header usage patterns of HTTP request messages. In Proc. 16th International Conference on High Performance Computing and Communications - HPCC 2014, pages 859-865, IE EE, 2014. [preprint]
M. Calzarossa, L. Massari and D. Tessera. An extensive study of Web robots traffic. In Proc. Int. Conf. on Information Integration and Web-based Applications & Services - IIWAS2013, pages 410-417, ACM, 2013. [preprint ]
M. Calzarossa and D. Tessera. Time series analysis of the dynamics of news websites. In Proc. PDCAT 2012, IEEE Computer Society Press, pages 529-533, 2012. [preprint]
M. Calzarossa and L. Massari. Temporal analysis of crawling activities of commercial Web robots. In E. Gelenbe, and R. Lent editors, Computer and Information Sciences III, Lecture Notes in Electrical Engineering, pages 429-436, Springer, 2012. [preprint]