Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing

28 July 2020

Papers citing "Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing"

4 / 4 papers shown

Title
Data Issues in Industrial AI System: A Meta-Review and Research Strategy Xuejiao Li Cheng Yang Charles Møller Jay Lee 36 2 0 22 Jun 2024
An enhanced simulation-based multi-objective optimization approach with knowledge discovery for reconfigurable manufacturing systems Carlos Alberto Barrera Diaz Amir Nourmohammadi Henrik Smedberg Tehseen Aslam A. Ng 12 7 0 30 Nov 2022
Intelligent Computing: The Latest Advances, Challenges and Future Shiqiang Zhu Ting Yu Tao Xu Hongyang Chen Schahram Dustdar ... Tariq S. Durrani Huaimin Wang Jiangxing Wu Tongyi Zhang Yunhe Pan AI4CE 87 129 0 21 Nov 2022
On The Reliability Of Machine Learning Applications In Manufacturing Environments Nicolas Jourdan S. Sen E. J. Husom Enrique Garcia-Ceja Tobias Biegel J. Metternich OOD 75 9 0 13 Dec 2021