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Department of Computer Science and Engineering

Publications

  • Vorabbi L.; Maltoni D.; Santi S., Input Layer Binarization with Bit-Plane Encoding, in: Artificial Neural Networks and Machine Learning – ICANN 2023, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 14261 LNCS, pp. 395 - 406 (atti di: ICANN 2023, Heraklion, 26/09/2023) [Contribution to conference proceedings] Open Access

  • 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) [Contribution to conference proceedings] 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) [Contribution to conference proceedings] 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 [Scientific article] 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) [Contribution to conference proceedings] 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) [Contribution to conference proceedings] 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) [Contribution to conference proceedings] 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) [Contribution to conference proceedings]

  • 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 [Scientific article] 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) [Contribution to conference proceedings] 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 [Scientific article] 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 [Scientific article] 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) [Contribution to conference proceedings] 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 [Scientific article] 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 [Preface]

  • 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) [Preface]

  • 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) [Contribution to conference proceedings] 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) [Contribution to conference proceedings]

  • 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) [Contribution to conference proceedings] 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) [Contribution to conference proceedings]