Pubblicazioni

Mirsalari, Seyed Ahmad; Bijar, Léo; Fariselli, Marco; Croome, Martin; Paci, Francesco; Tagliavini, Giuseppe; Benini, Luca, StreamEase: Enabling Real-Time Inference of Temporal Convolution Networks on Low-Power MCUs with Stream-Oriented Automatic Transformation, in: 2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2024, pp. 1 - 4 (atti di: 2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS), Nancy, France, 18-20 November 2024) [Contributo in Atti di convegno]

Di Domenico, N.; Borghi, G.; Franco, A.; Maltoni, D., Improving Accomplice Detection in the Morphing Attack, «MACHINE INTELLIGENCE RESEARCH», 2024, 22, pp. 1 - 15 [Articolo in rivista]

Spathis, G.; Di Domenico, N.; Borghi, G.; Franco, A.; Maltoni, D., AMONOT: Synthetic Aging for Differential Morphing Attack Detection Systems, in: Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024, pp. 1 - 15 (atti di: International Conference on Pattern Recognition 2024, 2nd Workshop on Facial and Body Expressions, Kolkata, India, 01/12/2024) [Contributo in Atti di convegno]

Zaccarini, Mattia; Borsatti, Davide; Cerroni, Walter; Foschini, Luca; Grabarnik, Genady Ya.; Manca, Lorenzo; Poltronieri, Filippo; Scotece, Domenico; Shwartz, Larisa; Stefanelli, Cesare; Tortonesi, Mauro, TELKA: Twin-Enhanced Learning for Kubernetes Applications, in: Proceedings - IEEE Symposium on Computers and Communications, 2024, pp. 1 - 6 (atti di: 29th IEEE Symposium on Computers and Communications, ISCC 2024, Paris, 26 June 2024 29 June 2024) [Contributo in Atti di convegno]

Tazzioli, Davide; Venanzi, Riccardo; Foschini, Luca, Stateful Service Migration Support for Kubernetes-based Orchestration in Industry 4.0, in: Proceedings - IEEE Symposium on Computers and Communications, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., «PROCEEDINGS - IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS», 2024, pp. 1 - 6 (atti di: 29th IEEE Symposium on Computers and Communications, ISCC 2024, fra, 2024) [Contributo in Atti di convegno]

Garbugli, Andrea; Scotece, Domenico; Foschini, Luca; Bellavista, Paolo, Advanced and Future Network Access Technologies for the Metaverse, in: Realizing the Metaverse: A Communications and Networking Perspective, Stati Uniti, wiley, 2024, pp. 63 - 92 [Capitolo/Saggio in libro]

Ragazzi, Luca; Moro, Gianluca; Guidi, Stefano; Frisoni, Giacomo, LAWSUIT: a LArge expert-Written SUmmarization dataset of ITalian constitutional court verdicts, «ARTIFICIAL INTELLIGENCE AND LAW», 2024, 33, pp. 1 - 37 [Articolo in rivista]

Ragazzi, Luca; Italiani, Paolo; Moro, Gianluca; Panni, Mattia, What Are You Token About? Differentiable Perturbed Top-k Token Selection for Scientific Document Summarization, in: Findings of the Association for Computational Linguistics: ACL 2024, 2024, pp. 9427 - 9440 (atti di: The 62nd Annual Meeting of the Association for Computational Linguistics, Bangkok, Thailand, August 11–16, 2024) [Contributo in Atti di convegno]

Bussotti, Jean-Flavien; Ragazzi, Luca; Frisoni, Giacomo; Moro, Gianluca; Papotti, Paolo, Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024, pp. 12105 - 12122 (atti di: The 2024 Conference on Empirical Methods in Natural Language Processing, Miami, Florida, USA, November 12–16, 2024) [Contributo in Atti di convegno]

Credi, Alberto; Fariselli, ANNA CHIARA; Montanari, Rebecca; Coppini, Sara; Furgoni, Alberto; Gualandi, Bianca; Marongiu, Letizia, Back to Fundamentals of Research: Interdisciplinarity. Position Paper, in: Back to Fundamentals of Research, 2024, pp. 1 - 6 (atti di: Back to Fundamentals of Research: Reliability, Transparency and Reproducibility, Bologna, 09/10/2024) [Contributo in Atti di convegno]

Rossini, Martina; Ferretti, Stefano, A Comparative Evaluation of Deep Learning Techniques for Smart Contract Vulnerability Classification, «DISTRIBUTED LEDGER TECHNOLOGIES», 2024, 1, pp. 1 - 21 [Articolo in rivista]

Liu, C.; Ferrara, M.; Franco, A.; Borghi, G.; Zhong, D., Differential Morphing Attack Detection via Triplet-Based Metric Learning and Artifact Extraction, in: 2024 International Conference of the Biometrics Special Interest Group (BIOSIG), 2024, pp. 1 - 7 (atti di: International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 25-27 September 2024) [Contributo in Atti di convegno]

Borghi, G.; Di Domenico, N.; Ferrara, M.; Franco, A.; Latif, U.; Maltoni, D., MONOT: High-Quality Privacy-compliant Morphed Synthetic Images for Everyone, in: Proceedings - 16th IEEE International Workshop on Information Forensics and Security, WIFS 2024, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., «IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY», 2024, pp. 1 - 8 (atti di: 16th IEEE International Workshop on Information Forensics and Security, WIFS 2024, Rome, Italy, 02-05 December 2024) [Contributo in Atti di convegno]

Pingitore, Alessandro; Zhang, Chenxiang; Vassalle, Cristina; Ferragina, Paolo; Landi, Patrizia; Mastorci, Francesca; Sicari, Rosa; Tommasi, Alessandro; Zavattari, Cesare; Prencipe, Giuseppe; Sîrbu, Alina, Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease, «INTERNATIONAL JOURNAL OF CARDIOLOGY», 2024, 404, pp. 1 - 9 [Articolo in rivista]

Sirbu, Alina; Goglia, Diletta; Kim, Jisu; Magos, Paul Maximilian; Pollacci, Laura; Spyratos, Spyridon; Rossetti, Giulio; Iacus, Stefano Maria, International mobility between the UK and Europe around Brexit: a data-driven study, «JOURNAL OF COMPUTATIONAL SOCIAL SCIENCE», 2024, 7, pp. 1451 - 1482 [Articolo in rivista]

Podda, Marco; Bonechi, Simone; Palladino, Andrea; Scaramuzzino, Mattia; Brozzi, Alessandro; Roma, Guglielmo; Muzzi, Alessandro; Priami, Corrado; Sirbu, Alina; Bodini, Margherita, Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning, «ISCIENCE», 2024, 27, pp. 1 - 16 [Articolo in rivista]

Tolloso, Matteo; Galfre, Silvia Giulia; Pavone, Arianna; Podda, Marco; Sirbu, Alina; Priami, Corrado, How Much Do DNA and Protein Deep Embeddings Preserve Biological Information?, in: International Conference on Computational Methods in Systems Biology, 2024, 14971 LNBI, pp. 209 - 225 (atti di: International Conference on Computational Methods in Systems Biology, Pisa,Italy, September 2024) [Contributo in Atti di convegno]

Accattoli, Beniamino; Lago, Ugo Dal; Vanoni, Gabriele, Reasonable Space for the Lambda-Calculus, Logarithmically, «LOGICAL METHODS IN COMPUTER SCIENCE», 2024, Volume 20, Issue 4, pp. 1 - 57 [Articolo in rivista]

Lago, Ugo Dal; Galal, Zeinab; Giusti, Giulia, On Computational Indistinguishability and Logical Relations, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 15194, pp. 241 - 263 (atti di: 22nd Asian Symposium on Programming Languages and Systems, APLAS 2024, Japan, 2024) [Contributo in Atti di convegno]

Donati, N.; Periani, M.; Di Natale, P.; Savino, G.; Torroni, P., Generation and Evaluation of English Grammar Multiple-Choice Cloze Exercises, in: Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), «CEUR WORKSHOP PROCEEDINGS», 2024, 3878, pp. 325 - 334 (atti di: Clic-IT 2024, Pisa, dal 4 al 6 Dicembre 2024) [Contributo in Atti di convegno]