Pubblicazioni

Molan M.; Borghesi A.; Benini L.; Bartolini A., Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection, in: Euro-Par 2022: Parallel Processing Workshops. Euro-Par 2022, Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 13835 LNCS, pp. 294 - 298 (atti di: Euro-Par 2022: Parallel Processing Workshops. Euro-Par 2022, Glasgow (Scotland), 22-26 Agosto 2022) [Contributo in Atti di convegno] Open Access

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) [Contributo in Atti di convegno] Open Access

Molan, G; Dolinar, G; Bojkovski, J; Prodan, R; Borghesi, A; Molan, M, Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product, «IEEE ACCESS», 2023, 11, pp. 115599 - 115616 [Articolo in rivista] Open Access

Giuliani L.; De Filippo A.; Borghesi A., Towards Intelligent Music Production: A Sample-based Approach, in: CEUR Workshop Proceedings, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2023, 3519, pp. 50 - 59 (atti di: 2nd Workshop on Artificial Intelligence and Creativity, CREAI 2023, ita, 2023) [Contributo in Atti di convegno] Open Access

Giuliani, Luca; Ballerini, Francesco; De Filippo, Allegra; Borghesi, Andrea, MusiComb: a Sample-based Approach to Music Generation Through Constraints, in: 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), New York, IEEE, 2023, pp. 194 - 198 (atti di: 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), Atlanta, GA, USA, Novembre 2023) [Contributo in Atti di convegno] Open Access

Farooq, Emmen; Borghesi, Andrea, A Federated Learning Approach for Anomaly Detection in High Performance Computing, in: 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), New York, IEEE, 2023, pp. 496 - 500 (atti di: International Conference on Tools with Artificial Intelligence (ICTAI), Atlanta, GA, USA, 06-08 November 2023) [Contributo in Atti di convegno] Open Access

Molan M.; Ahmed Khan J.; Borghesi A.; Bartolini A., Graph Neural Networks for Anomaly Anticipation in HPC Systems, in: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, pp. 239 - 244 (atti di: International Conference on Performance Engineering, Coimbra, Portugal, April 2023) [Contributo in Atti di convegno]

Borghesi, Andrea; Di Santi, Carmine; Molan, Martin; Ardebili, Mohsen Seyedkazemi; Mauri, Alessio; Guarrasi, Massimiliano; Galetti, Daniela; Cestari, Mirko; Barchi, Francesco; Benini, Luca; Beneventi, Francesco; Bartolini, Andrea, M100 ExaData: a data collection campaign on the CINECA's Marconi100 Tier-0 supercomputer, «SCIENTIFIC DATA», 2023, 10, pp. 1 - 10 [Articolo in rivista] Open Access

Baldini P.; Braccini M.; Roli A., Online Adaptation of Robots Controlled by Nanowire Networks: A Preliminary Study, in: Artificial Life and Evolutionary Computation. WIVACE 2022., Cham, Springer, «COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE», 2023, 1780 CCIS, pp. 171 - 182 (atti di: XVI International Workshop on Artificial Life and Evolutionary Computation, WIVACE 2022, Gaeta, Italy, September, 14-16, 2022) [Contributo in Atti di convegno] Open Access

Baldini, P; Roli, A; Braccini, M, On the Performance of Online Adaptation of Robots Controlled by Nanowire Networks, «IEEE ACCESS», 2023, 11, pp. 144408 - 144420 [Articolo in rivista] Open Access

Vadrucci M.; Bussolari D.; Chiari M.; De Rose C.; Di Foggia M.; Mazzinghi A.; Orazi N.; Zanasi C.L.; Cicero C., The Ethiopian Magic Scrolls: A Combined Approach for the Characterization of Inks and Pigments Composition, «HERITAGE», 2023, 6, pp. 1378 - 1396 [Articolo in rivista] Open Access

Sabbatini F.; Calegari R., Explainable Clustering with CREAM, in: Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, Association for the Advancement of Artificial Intelligence, «PROCEEDINGS-INTERNATIONAL CONFERENCE ON PRINCIPLES OF KNOWLEDGE REPRESENTATION AND REASONING», 2023, pp. 593 - 603 (atti di: International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), Rhodes, Greece, September 2-8, 2023) [Contributo in Atti di convegno] Open Access

Robaldo L.; Pacenza F.; Zangari J.; Calegari R.; Calimeri F.; Siragusa G., Efficient compliance checking of RDF data, «JOURNAL OF LOGIC AND COMPUTATION», 2023, 33, pp. 1753 - 1776 [Articolo in rivista] Open Access

Costantini S.; Pontelli E.; Calegari R.; Dodaro C.; Fabiano F.; Gaggl S.; Garcez A.; Mileo A.; Russo A.; Toni F., Preface, in: Electronic Proceedings in Theoretical Computer Science, EPTCS, Waterloo, Open Publishing Association, 2023, pp. 1 - 1 [Prefazione]

Calegari R.; Aler A.; Gabriel T.; Castane G.; Dignum V.; Milano M., Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023, in: CEUR Workshop Proceedings, Aachen, Sun SITE Central Europe (CEUR), Technical University of Aachen (RWTH), 2023, pp. 1 - 2 (CEUR WORKSHOP PROCEEDINGS) [Prefazione]

Sabbatini F.; Calegari R., Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents, in: CEUR Workshop Proceedings, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2023, 3579, pp. 232 - 245 (atti di: 24th Workshop "From Objects to Agents", WOA 2023, Roma, Italia, Novembre 2023) [Contributo in Atti di convegno] Open Access

Sabbatini F.; Calegari R., Bottom-Up and Top-Down Workflows for Hypercube- And Clustering-Based Knowledge Extractors, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 14127, pp. 116 - 129 (atti di: Proceedings of the 5th International Workshop on EXTRAAMAS 2023, London, UK, 2023) [Contributo in Atti di convegno]

Sabbatini F.; Calegari R., Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score, in: Frontiers in Artificial Intelligence and Applications, IOS Press BV, «FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS», 2023, 372, pp. 2033 - 2040 (atti di: 26th European Conference on Artificial Intelligence, ECAI 2023, Kraków, Poland, 30 September to 4 October 2023) [Contributo in Atti di convegno] Open Access

Sabbatini F.; Calegari R., ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation, in: CEUR Workshop Proceedings, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2023, 3548, pp. 1 - 18 (atti di: Joint of the 2nd Workshop on Knowledge Diversity and the 2nd Workshop on Cognitive Aspects of Knowledge Representation, KoDis + CAKR 2023, Rhodes, Greece, 2023) [Contributo in Atti di convegno]

Calegari R.; Castane G.G.; Milano M.; O'Sullivan B., Assessing and Enforcing Fairness in the AI Lifecycle, in: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), International Joint Conferences on Artificial Intelligence, 2023, 2023-, pp. 6554 - 6562 (atti di: 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023, Macau, China, August 2023) [Contributo in Atti di convegno] Open Access