Approximation-refinement testing of compute-intensive cyber-physical models

Author:

Menghi Claudio1,Nejati Shiva2,Briand Lionel2,Parache Yago Isasi3

Affiliation:

1. University of Luxembourg, Luxembourg, Luxembourg

2. University of Ottawa, Ottawa, Canada and University of Luxembourg, Luxembourg, Luxembourg

3. Luxspace Sàrl, Luxembourg, Luxembourg

Funder

University of Luxembourg

Canada Research Chair programme

H2020 European Research Council

Publisher

ACM

Reference102 articles.

1. 2019. ARIsTEO. https://github.com/SNTSVV/ARIsTEO 2019. ARIsTEO. https://github.com/SNTSVV/ARIsTEO

2. 2019. Cyber-Physical Systems and Internet-of-Things Week. http://cpslab.cs.mcgill.ca/cpsiotweek2019/ 2019. Cyber-Physical Systems and Internet-of-Things Week. http://cpslab.cs.mcgill.ca/cpsiotweek2019/

3. 2019. Deep Learning Toolbox. https://it.mathworks.com/products/deep-learning.html 2019. Deep Learning Toolbox. https://it.mathworks.com/products/deep-learning.html

4. 2019. Luxspace. https://luxspace.lu/ 2019. Luxspace. https://luxspace.lu/

5. 2019. Mathworks. https://mathworks.com. Accessed: 2019-08-07. 2019. Mathworks. https://mathworks.com. Accessed: 2019-08-07.

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