Foto del docente

Andrea Borghesi

Junior assistant professor (fixed-term)

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Publications

Borghesi A.; Molan M.; Milano M.; Bartolini A., Anomaly Detection and Anticipation in High Performance Computing Systems, «IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS», 2022, 33, pp. 739 - 750 [Scientific article]Open Access

Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela, An Analysis of Regularized Approaches for Constrained Machine Learning, in: Trustworthy AI - Integrating Learning, Optimization and Reasoning. TAILOR 2020., Cham, Springer, 2021, 12641, pp. 112 - 119 (atti di: 1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020, Online, 4-5 September 2020) [Contribution to conference proceedings]Open Access

Molan M.; Borghesi A.; Beneventi F.; Guarrasi M.; Bartolini A., An Explainable Model for Fault Detection in HPC Systems, in: High Performance Computing. ISC High Performance 2021, Cham, Springer, 2021, 12761, pp. 378 - 391 (atti di: International Conference on High Performance Computing, ISC High Performance 2021, ONLINE, 2021) [Contribution to conference proceedings]Open Access

Borghesi, Andrea; Burrello, Alessio; Bartolini, Andrea, ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems, «IEEE INTERNET OF THINGS JOURNAL», 2021, 1, pp. 1 - 11 [Scientific article]Open Access

Borghesi A.; Di Modica G.; Bellavista P.; Gowtham V.; Willner A.; Nehls D.; Kintzler F.; Cejka S.; Tisbeni S.R.; Costantini A.; Galletti M.; Antonacci M.; Ahouangonou J.C., IoTwins: Design and implementation of a platform for the management of digital twins in industrial scenarios, in: Proceedings - 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2021, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 625 - 633 (atti di: 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2021, aus, 2021) [Contribution to conference proceedings]Open Access

Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi, A machine learning approach to online fault classification in HPC systems, «FUTURE GENERATION COMPUTER SYSTEMS», 2020, 110, pp. 1009 - 1022 [Scientific article]Open Access

Borghesi, Andrea; Tagliavini, Giuseppe; Lombardi, Michele; Benini, Luca; Milano, Michela, Combining learning and optimization for transprecision computing, in: Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020, pp. 10 - 18 (atti di: 17th ACM International Conference on Computing Frontiers, Catania, Italy, 1-10 June 2020) [Contribution to conference proceedings]Open Access

Cesarini, Daniele; Bartolini, Andrea; Borghesi, Andrea; Cavazzoni, Carlo; Luisier, Mathieu; Benini, Luca, Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications, «IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS», 2020, 31, pp. 2696 - 2709 [Scientific article]Open Access

Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano, Injective Domain Knowledge in Neural Networks for Transprecision Computing, in: Machine Learning, Optimization, and Data Science - 6th InternationalConference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part I, Springer, 2020, 12565, pp. 587 - 600 (atti di: The Sixth International Conference on Machine Learning, Optimization, and Data Science, Siena, July 19-23, 2020) [Contribution to conference proceedings]

Borghesi A.; Bartolini A.; Lombardi M.; Milano M.; Benini L., A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems, «ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE», 2019, 85, pp. 634 - 644 [Scientific article]Open Access

Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca, Anomaly Detection Using Autoencoders in High Performance Computing Systems, in: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019, 33, pp. 9428 - 9433 (atti di: Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, US, 28 Jan - 02 Feb 2019) [Contribution to conference proceedings]

Alessio Netti; Zeynep Kiziltan; Ozalp Babaoglu; Alina Sirbu; Andrea Bartolini; Andrea Borghesi, FINJ: A Fault Injection Tool for HPC Systems, in: Euro-Par 2018: Parallel Processing Workshops, Berlin, Springer-Verlag, 2019, 11339, pp. 800 - 812 (atti di: Euro-Par 2018: European Conference on Parallel Processing Workshops, Turin, Italy, August 27-28, 2018) [Contribution to conference proceedings]Open Access

Borghesi, Andrea; Milano, Michela; Benini, Luca, Frequency Assignment in High Performance Computing Systems, in: Proceedings of the XVIIIth International Conference of the Italian Association for Artificial Intelligence, 2019, 11946, pp. 151 - 164 (atti di: XVIIIth International Conference of the Italian Association for Artificial Intelligence, Rende, Italy, November 19–22, 2019) [Contribution to conference proceedings]

Borghesi, Andrea; Milano, Michela, Merging Observed and Self-Reported Behaviour in Agent-Based Simulation: A Case Study on Photovoltaic Adoption, «APPLIED SCIENCES», 2019, 9, pp. 2098 - 2118 [Scientific article]Open Access

Borghesi A.; Libri A.; Benini L.; Bartolini A., Online Anomaly Detection in HPC Systems, in: Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019, 2019, pp. 229 - 233 (atti di: IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019, Hsinchu, Taiwan, 18-20 March 2019) [Contribution to conference proceedings]Open Access

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