Robust machine learning systems: Challenges, current trends, perspectives, and the road ahead

M Shafique, M Naseer, T Theocharides… - IEEE Design & …, 2020 - ieeexplore.ieee.org
Currently, machine learning (ML) techniques are at the heart of smart cyber-physical
systems (CPSs) and Internet-of-Things (loT). This article discusses various challenges and …
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[PDF][PDF] Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

M Shafique, M Naseer, T Theocharides, C Kyrkou… - 2020 - loisorosa.github.io
Digital Object Identifier 10.1109/MDAT. 2020.2971217 Date of publication: 3 February 2020;
date of current version: 20 April 2020. connects the system to the physical environment, for …

[引用][C] Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

M Shafique, M Naseer, T Theocharides, C Kyrkou… - Ieee Design {\&} … - publik.tuwien.ac.at

[引用][C] Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

M Shafique, M Naseer, T Theocharides… - IEEE Design & …, 2020 - research-collection.ethz.ch
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Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

M Shafique, M Naseer, T Theocharides… - IEEE DESIGN & …, 2020 - repository.hanyang.ac.kr
Currently, machine learning (ML) techniques are at the heart of smart cyber-physical
systems (CPS) and Internet-of-Things (IoT). This article discusses various challenges and …

[引用][C] Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

M Shafique, M Naseer, T Theocharides, C Kyrkou… - IEEE Design & …, 2020 - cir.nii.ac.jp
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[引用][C] Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

M Shafique, M Naseer, T Theocharides… - IEEE Design and …, 2020 - repositum.tuwien.at
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Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

M Shafique, M Naseer, T Theocharides, C Kyrkou… - 2020 - forms1.ieee.org
Digital Object Identifier 10.1109/MDAT. 2020.2971217 Date of publication: 3 February 2020;
date of current version: 20 April 2020. connects the system to the physical environment, for …

Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

M Shafique, M Naseer, T Theocharides… - arXiv preprint arXiv …, 2021 - arxiv.org
Machine Learning (ML) techniques have been rapidly adopted by smart Cyber-Physical
Systems (CPS) and Internet-of-Things (IoT) due to their powerful decision-making …
[PDF] researchgate.net

[PDF][PDF] Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

M Shafique, M Naseer, T Theocharides, C Kyrkou… - researchgate.net
Machine Learning (ML) techniques have been rapidly adopted by smart Cyber-Physical
Systems (CPS) and Internet-of-Things (IoT) due to their powerful decision-making …