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Education and Innovation in Embedded Systems Design

USI Università della Svizzera italiana, USI Faculty of Informatics, Advanced Learning and Research Institute USI Università della Svizzera italiana USI Faculty of Informatics USI Advanced Learning and Research Institute
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Author Title Type [ Year(Asc)]
Mentens, N., E. Charbon, and F. Regazzoni, Reconfigurable Logic Circuit, , no. GB1719355.8, 11/2017, Submitted.
Pilato, C., K. Basu, M. Shayan, F. Regazzoni, and R. Karri, "High-Level Synthesis of Benevolent Trojans", Proceedings of the IEEE Design, Automation and Test in Europe Conference (DATE), 2019.
Wahab, M. Abdul, J. Milosevic, F. Regazzoni, and A. Ferrante, "Power and Performance Optimized Hardware Classifiers for Eefficient On-device Malware Detection", Cryptography and Security in Computing Systems, Valencia, Spain, ACM, 01/2019.
Milosevic, J., M. Malek, and A. Ferrante, "Time, Accuracy and Power Consumption Tradeoff in Mobile Malware Detection Systems", Computers & Security, vol. 82, pp. 314-328, 05/2019.
Zambon, D., L. Livi, and C. Alippi, "Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings", IJCNN 2018 : International Joint Conference on Neural Networks, 07/2018.
Luković, S., A. Gasparin, J. Witzig, and I. Herbst, "Arbon Demonstrator Eye-on-the-Grid, from Concept to Results", SCCER-FURIES Annual Conference, 12/2018.
Kozma, R., C. Alippi, Y. Choe, and F. Morabito, "Artificial Intelligence in the Age of Neural Networks and Brain Computing", Academic Press , 1, pp. 420, 2018.
Pilato, C., "Bridging the Gap between Software and Hardware Designers Using High-Level Synthesis", Advances in Parallel Computing, 2018.
Ciobanu, C. B., G. Gaydadjiev, C. Pilato, and D. Sciuto, "The Case for Polymorphic Registers in Dataflow Computing", International Journal of Parallel Programming, vol. 54, issue 5, pp. 54-62, 10/2018.
Verzelli, P., L. Livi, and C. Alippi, "A characterization of the Edge of Criticality in Binary Echo State Networks", 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), Aalborg, Denmark, 09/2018.
Khalid, A., J. Howe, C. Rafferty, F. Regazzoni, and M. O'Neil, "Compact, Scalable, and Efficient Gaussian Samplers for Lattice-Based Cryptography", Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS) 2018, 2018.
Zambon, D., C. Alippi, and L. Livi, "Concept Drift and Anomaly Detection in Graph Streams", IEEE Transactions on Neural Networks and Learning Systems, vol. 29, issue 11, pp. 5592-5605, 11/2018.
Dal Pozzolo, A., G. Boracchi, O. Caelen, C. Alippi, and G. Bontempi, "Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy", IEEE Transactions on Neural Networks and Learning Systems, pp. 1-14, 2018.