Publications
Articles, books, patents, proceedings, etc. by members of the Department.
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Davide Evangelista, Liwei Hu, Giovanni V. Spinelli, Fabiana Zama, Enhancing Food Quality Analysis: Deep Neural Network Inversion of NMRD Profiles with Quadrupolar Dips, in: 7th International Conference on Foodomics - ICF2024, 2024(atti di: 7th International Conference on Foodomics - ICF2024, Cesena, 14-16 February 2024) [Poster]
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Andrea Maffia; Ann Downton, On the Necessity of Multimodal Semiotic Approaches for the Analysis of Young Children’s Mathematical Drawings, in: Proceedings of the 46th Annual Conference of the Mathematics Education Research Group of Australasia, 2024, pp. 586 - 586 (atti di: 46th Annual Conference of the Mathematics Education Research Group of Australasia, Gold Coast, 30/06-04/07/24) [Contribution to conference proceedings]
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Paolini, Giovanni; Moreschini, Lorenzo; Veneziano, Francesco; Iraci, Alessandro, Learning to Play 7 Wonders Duel Without Human Supervision, in: 2024 IEEE Conference on Games (CoG), 2024, pp. 1 - 4 (atti di: 2024 IEEE Conference on Games (CoG), Milano, 05-08 August 2024) [Contribution to conference proceedings] Open Access
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Pagliarani, Stefano; Pignotti, Michele, Intrinsic Taylor Formula for Non-homogeneous Kolmogorov-Type Lie Groups, in: Kolmogorov Operators and Their Applications, «SPRINGER INDAM SERIES», 2024, pp. 135 - 145 (atti di: Kolmogorov Operators and Their Applications, Cortona, Italy, June 13 to 17, 2022) [Contribution to conference proceedings]
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Vacareanu R.; Varia S.; Halder K.; Wang S.; Paolini G.; John N.A.; Ballesteros M.; Muresan S., A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis, in: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics (ACL), 2024, 1, pp. 2734 - 2752 (atti di: 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024, Malta, 17th-22nd March 2024) [Contribution to conference proceedings] Open Access
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Pastorello, Davide, Quantum Machine Learning: Perspectives in Cybersecurity, in: Computer Safety, Reliability, and Security, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, pp. 266 - 274 (atti di: Safecomp 2024, Firenze, 17 September 2024) [Contribution to conference proceedings]
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Botteghi, Elisa; Pastorello, Davide; Tantari, Daniele, Cyber Risk Propagation on Networks, in: Computer Safety, Reliability, and Security, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, pp. 308 - 315 (atti di: Safecomp 2024, Firenze, 17 September 2024) [Contribution to conference proceedings]
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Ding H.; Wang Z.; Paolini G.; Kumar V.; Deoras A.; Roth D.; Soatto S., Fewer Truncations Improve Language Modeling, in: Proceedings of Machine Learning Research, ML Research Press, «PROCEEDINGS OF MACHINE LEARNING RESEARCH», 2024, 235, pp. 11030 - 11048 (atti di: 41st International Conference on Machine Learning, ICML 2024, Vienna, Austria, 2024) [Contribution to conference proceedings]