Ruolo editoriale nella collana «The 1st International Workshop on the Environmental Sustainability of High-Performance Software (SHiPS)»
Francobaldi M.; De Filippo A.; Borghesi A.; Pizurica N.; Jovancevi I.; Llewellynn T.; de Prado M., TinderAI: Support System for Matching AI Algorithms and Embedded Devices, in: The International FLAIRS Conference Proceedings, 2023, 36, pp. 1 - 5 (atti di: FLAIRS, Clearwater Beach, USA, 14 May 2023 through 17 May 2023) [Contribution to conference proceedings]Open Access
Giuliani L.; De Filippo A.; Borghesi A., Towards Intelligent Music Production: A Sample-based Approach, in: CEUR Workshop Proceedings, CEUR-WS, 2023, 3519, pp. 50 - 59 (atti di: 2nd Workshop on Artificial Intelligence and Creativity, CREAI 2023, ita, 2023) [Contribution to conference proceedings]Open Access
De Filippo, Allegra; Giuliani, Luca; Mancini, Eleonora; Borghesi, Andrea; Mello, Paola; Milano, Michela, Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations, in: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, ijcai, 2023, pp. 5806 - 5814 (atti di: Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, 19-25 agosto 2023) [Contribution to conference proceedings]Open Access
Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano, A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances, in: CREAI 2022, Workshop on Artificial Intelligence and Creativity, 2022, pp. 84 - 93 (atti di: Workshop on Artificial Intelligence and Creativity co-located with 21th International Conference of the Italian Association for Artificial Intelligence, Udine, 28 novembre 2022 - 3 dicembre 2022) [Contribution to conference proceedings]
Molan, M; Borghesi, A; Benini, L; Bartolini, A, Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models, in: Euro-Par 2022: Parallel Processing. Euro-Par 2022. Lecture Notes in Computer Science, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INTERNATIONAL PUBLISHING AG, 2022, 13440, pp. 171 - 185 (atti di: Euro-Par 2022: Parallel Processing, Glasgow, 22-26 Agosto 2022) [Contribution to conference proceedings]Open Access
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
De Filippo A.; Borghesi A., Constrained Hardware Dimensioning for AI Algorithms, in: Frontiers in Artificial Intelligence and Applications, 2022, 351, pp. 145 - 148 (atti di: 11th International Conference on Prestigious Applications of Intelligent Systems PAIS 2022, Vienna, 25 Luglio 2022) [Contribution to conference proceedings]Open Access
De Filippo, A; Borghesi, A; Boscarino, A; Milano, M, HADA: An automated tool for hardware dimensioning of AI applications, «KNOWLEDGE-BASED SYSTEMS», 2022, 251, Article number: 109199 , pp. 1 - 18 [Scientific article]Open Access
Hichri B.; Driate A.; Borghesi A.; Giovannini F., Predictive Maintenance Based on Machine Learning Model, in: Artificial Intelligence Applications and Innovations. AIAI 2022., 2022, 647, pp. 250 - 261 (atti di: Artificial Intelligence Applications and Innovations. AIAI 2022, Crete, Greece, 17-20 Giugno 2022) [Contribution to conference proceedings]Open Access
Molan M.; Borghesi A.; Benini L.; Bartolini A., Semi-supervised anomaly detection on a Tier-0 HPC system, in: CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022, pp. 203 - 204 (atti di: CF '22 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17 - 22, 2022) [Contribution to conference proceedings]
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 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
