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, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 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) [Contributo in Atti di convegno]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 [articolo]
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) [Contributo in Atti di convegno]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 [articolo]
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) [Contributo in Atti di convegno]
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 [articolo]
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) [Contributo in Atti di convegno]
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, «LECTURE NOTES IN COMPUTER SCIENCE», 2019, 11339, pp. 800 - 812 (atti di: Euro-Par 2018: European Conference on Parallel Processing Workshops, Turin, Italy, August 27-28, 2018) [Contributo in Atti di convegno]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, «LECTURE NOTES IN 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) [Contributo in Atti di convegno]
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 [articolo]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) [Contributo in Atti di convegno]Open Access
Netti, Alessio; Kiziltan, Zeynep; Babaoglu, Ozalp; Sîrbu, Alina; Bartolini, Andrea; Borghesi, Andrea, Online Fault Classification in HPC Systems Through Machine Learning, in: Proceedings of the 25th European Conference on Parallel Processing, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2019, 11725, pp. 3 - 16 (atti di: European Conference on Parallel Processing, Göttingen, Germany, August 26–30, 2019) [Contributo in Atti di convegno]
Bartolini, Andrea; Beneventi, Francesco; Borghesi, Andrea; Cesarini, Daniele; Libri, Antonio; Benini, Luca; Cavazzoni, Carlo, Paving the Way Toward Energy-Aware and Automated Datacentre, in: Proceedings of the 48th International Conference on Parallel Processing, 2019, pp. 1 - 8 (atti di: International Conference on Parallel Processing (ICPP), Kyoto, Japan, August 05 - 08, 2019) [Contributo in Atti di convegno]
Borghesi, Andrea; Bartolini, Andrea; Milano, Michela; Benini, Luca, Pricing schemes for energy-efficient HPC systems: Design and exploration, «INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS», 2019, 33, pp. 716 - 734 [articolo]
Cristian, Galleguillos; Sîrbu, Alina; Kiziltan, Zeynep; Babaoglu, Ozalp; Borghesi, Andrea; Bridi, Thomas, Data-Driven Job Dispatching in HPC Systems, in: Machine Learning, Optimization, and Big Data, 2018, 10710, pp. 449 - 461 (atti di: MOD 2017 - The Third International Conference on Machine Learning, Optimization and Big Data, Volterra, Italy, 14-17 September 2017) [Contributo in Atti di convegno]
