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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(Desc)]
Brannigan, S., N. Smyth, T. Oder, F. Valencia, E. O'Sullivan, T. Güneysu, and F. Regazzoni, "An Investigation of Sources of Randomness Within Discrete Gaussian Sampling", IACR Cryptology ePrint Archive, vol. 2017, pp. 298, 2017.
Zhao, D., L. Bu, C. Alippi, and Q. Wei, "A Kolmogorov-Smirnov Test to Detect Changes in Stationarity in Big Data", IFAC-PapersOnLine, vol. 50, pp. 14260 - 14265, 2017.
Alippi, C., W. Qi, and M. Roveri, "Learning in Nonstationary Environments: A Hybrid Approach", Artificial Intelligence and Soft Computing, Cham, Springer International Publishing, 2017.
Alippi, C., R. Ambrosini, V. Longoni, D. Cogliati, and M. Roveri, "A lightweight and energy-efficient Internet-of-birds tracking system", 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom), March, 2017.
Milosevic, J., F. Regazzoni, and M. Malek, "Malware Threats and Solutions for Trustworthy Mobile Systems Design", Hardware Security and Trust: Design and Deployment of Integrated Circuits in a Threatened Environment, First edition; 2016: Springer, pp. 149-167, 2017.
Alippi, C., S. Ntalampiras, and M. Roveri, "Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems", IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, pp. 61-71, Feb, 2017.
Bianchi, F. Maria, L. Livi, C. Alippi, and R. Jenssen, "Multiplex visibility graphs to investigate recurrent neural network dynamics", Nature-Scientific reports, vol. 7, pp. 44037-44049, 03/2017.
Alippi, C., and M. Roveri, "The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework", Computer, vol. 50, pp. 38-47, April, 2017.
Livi, L., and C. Alippi, "One-class classifiers based on entropic spanning graphs", IEEE Transactions on Neural Networks and Learning Systems, vol. 28, issue 12, pp. 2846 - 2858, 11/2016, 2017.
Malek, M., "Predictive Analytics: A Shortcut to Dependable Computing", Software Engineering for Resilient Systems, Cham, Springer International Publishing, 2017.
Milosevic, J., M. Malek, and A. Ferrante, "Runtime Classification of Mobile Malware for Resource-constrained Devices", Lecture Notes in Communications in Computer and Information Science, vol. 764: Springer International Publishing AG, pp. 195-215, 2017.
Gee, S. Bong, K. Chen Tan, and C. Alippi, "Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach", IEEE Transactions on Cybernetics, vol. 47, issue 12, pp. 4223 - 4234, 11/2016, 2017.
O'Sullivan, E., and F. Regazzoni, "Special Session Paper: Efficient Arithmetic for lattice-based Cryptography", Proceedings of the CODES+ISSS 2017, 2017.
Pilato, C., P. Mantovani, G. Di Guglielmo, and L. P. Carloni, "System-Level Optimization of Accelerator Local Memory for Heterogeneous Systems-on-Chip", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 36, pp. 435-448, 2017.
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.