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Data-Driven Robust Control for Type 1 Diabetes Under Meal and Exercise Uncertainties, Paoletti, Nicola, Liu Kin Sum, Smolka Scott A., and Lin Shan , Computational Methods in Systems Biology, (2017)
Data-Driven Robust Control for a Closed-Loop Artificial Pancreas, Paoletti, N., Liu K. S., Chen H., Smolka S. A., and Lin S. , IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11/2020, Volume 17, Issue 6, (2020)
Closed-loop quantitative verification of rate-adaptive pacemakers, Paoletti, Nicola, Patanè Andrea, and Kwiatkowska Marta , ACM Transactions on Cyber-Physical Systems, to appear, (2017)
Data-Driven Uncertainty Quantification for Cardiac Electrophysiological Models: Impact of Physiological Variability on Action Potential and Spiral Wave Dynamics, Pathmanathan, Pras, Galappaththige Suran K., Cordeiro Jonathan M., Kaboudian Abouzar, Fenton Flavio H., and Gray Richard A. , Frontiers in physiology, 11/2020, Volume 11, (2020)
Collision Avoidance for Mobile Robots with Limited Sensing and Limited Information about Moving Obstacles, Phan, D., Yang J., Grosu R., Smolka S. A., and Stoller S. D. , Formal Methods in System Design, 01/2017, (2017)
Neural Simplex Architecture, Phan, Dung T., Grosu Radu, Jansen Nils, Paoletti Nicola, Smolka Scott A., and Stoller Scott D. , (2020)
Neural State Classification for Hybrid Systems, Phan, Dung, Paoletti Nicola, Zhang Timothy, Grosu Radu, Smolka Scott A., and Stoller Scott D. , Proc.\ 16th International Symposium on Automated Technology for Verification and Analysis (ATVA 2018), (2018)  (528.72 KB)