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Disambiguation of "Schenato, L."

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Self-triggered MPC robust to bounded packet loss via a min-max approach

, , , and . Proc. 61st IEEE Conf. on Decision and Control (CDC), page 7670-7675. Cancun, Mexico, (2022)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

L. Ahlgrimm

Lambert Theisen University of Stuttgart

Dongwon Lee University of Stuttgart

Primary drainage experiments and fractal dimensions, , , and . Dataset, (2024)

Dr. rer. nat. Nicolai Lang University of Stuttgart

Functional completeness of planar Rydberg blockade structures, , and . Physical review. B, Condensed matter and materials physics, 108 (8): 085138 (2023)

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classification, , , , , , , and . Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)
Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classification, , , , , , , and . Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality Assessment, , , , , , and . Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRI, , , , , , , , and . Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)
 

Other publications of authors with the same name

Self-triggered MPC robust to bounded packet loss via a min-max approach, , , and . Proc. 61st IEEE Conf. on Decision and Control (CDC), page 7670-7675. Cancun, Mexico, (2022)