Publications
See the full list on ORCiD
S. Rossi Tisbeni, F. Pantaleo, A. Di Florio, A. Arabiat, and C. Hoang, Patatune: A Framework for Multi-Objective Optimization of Track Reconstruction Algorithms, Connecting The Dots (2025).
To be published in the proceedings.
M. Horzela, H. Casanova, M. Giffels, A. Gottmann, R. Hofsaess, G. Quast, S. Rossi Tisbeni, A. Streit, and F. Suter., Modelling Distributed Heterogeneous Computing Infrastructures for HEP Applications
doi: https://doi.org/10.1051/epjconf/202429504032
S. Rossi Tisbeni, A. Di Florio, A. Arabiat, C. Hoang, E. Lusiani, and F. Pantaleo., A Multi-Objective Optimization Tool for Track Reconstruction, Conference on Computing in High Energy and Nuclear Physics 2024 (CHEP24).
To be published in the proceedings.
L. Decker, D. Leite, F. Minarini, S. R. Tisbeni, and D. Bonacorsi., Unsupervised Learning and Online Anomaly Detection: An On-Condition Log-Based Maintenance System
doi: https://doi.org/10.4018/IJERTCS.302112
S. Gasperini, S. Rossi Tisbeni, D. Bonacorsi, and D. Lange, Exploiting Big Data solutions for CMS computing operations analytics, Proceedings of International Symposium on Grids & Clouds 2022 — PoS(ISGC2022)
doi: https://doi.org/10.22323/1.415.0006
A. Borghesi et al., IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios, Cloud2Things(2021)
doi: https://doi.org/10.1109/CCGrid51090.2021.00075
A. Costantini et al., A Cloud-Edge Orchestration Platform for the Innovative Industrial Scenarios of the IoTwins Project, ICCSA(2021)
doi: https://doi.org/10.1007/978-3-030-86960-1_37
S. Rossi Tisbeni et al., A Big Data Platform for heterogeneous data collection and analysis in large-scale data centres, Proceedings of International Symposiumon Grids & Clouds 2021 — PoS(ISGC2021)
doi: https://doi.org/10.22323/1.378.0008
A. Di Girolamo et al., Operational Intelligence for Distributed Computing Systems for Exascale Science, EPJ Web of Conferences 245 (2020)
doi: https://doi.org/10.1051/epjconf/202024503017
A. Maffia, S. Rossi Tisbeni, F. Ferretti, and A. Lemmo, A Clustering Method for Multiple-Answer Questions on Pre-service Primary Teachers’ Views of Mathematics, Theorizing and Measuring Affect inMathematics Teaching and Learning
doi: https://doi.org/10.1007/978-3-030-50526-4_13
F. Viola et al., CNAF Big Data Platform, CNAF Annual Report 2019
url: http://www.cnaf.infn.it/annual-report
L. Decker de Sousa et al., Big Data Analysis for Predictive Maintenance at the INFN-CNAF Data Center using Machine Learning Approaches, Proceedings of the 25th Conference of Open Innovations AssociationFRUCT
url: https://www.fruct.org/publications/acm25/files/Dec.pdf
T. Diotalevi et al., Collection and harmonization of system logs and prototypal Analytics services with the Elastic (ELK) suite at the INFN-CNAF computing centre, Proceedingsof International Symposium on Grids & Clouds 2019 — PoS(ISGC2019)
doi: https://doi.org/10.22323/1.351.0027