error diagnosis
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Author(s):  
Amine Saboni ◽  
Mohamed Ridha Ouamane ◽  
Ouafae Bennis ◽  
Frédéric Kratz

This article investigates a methodology to design an automated supervision report, ensuring the suitability between the designers and the users of an algorithm. For this purpose, we built a super-vision tool, focused on error diagnosis. The argumentation of the article relies first on the exposition of the reasons to use model reports as a supervision artefact, with a prototype of implementation at an organization level, describing the necessary tooling to industrialize its production. Finally, we propose a method for supervising machine learning algorithms in a responsible and sustainable way, starting from the conception of the algorithm, along its development and dur-ing its operating phase.


2021 ◽  
Author(s):  
Jagpreet Chawla ◽  
Nikhil Thakurdesai ◽  
Anuj Godase ◽  
Md Reza ◽  
David Crandall ◽  
...  

Author(s):  
M. Pena-Fernandez ◽  
A. Lindoso ◽  
L. Entrena ◽  
I. Lopes ◽  
V. Pouget
Keyword(s):  

2020 ◽  
Vol 13 (10) ◽  
pp. 111
Author(s):  
Jiun-Iung Lei

While Automated Writing Evaluation (AWE) can perform an error diagnosis (Chen & Cheng, 2008), previous studies used to exclude it from the process of error analysis. This study aimed to examine the reactions of Grammarly Premium towards a group of night school students’ English writings at a Taiwanese technical university. The participants of the research produced 175 essays. The researcher checked the data against the AWE program. 1042 errors were detected and classified into 40 types. The 40 types of errors were at three hierarchical levels: a word and phrase level, a sentence level, and a discourse level. This study suggested future studies to view AWE’s functions in a new perspective and find it a space in the process of error diagnosis.


Author(s):  
Lamya Gaber ◽  
Aziza I. Hussein ◽  
Hanafy Mahmoud ◽  
M. Mourad Mabrook ◽  
Mohammed Moness

Solar Energy ◽  
2020 ◽  
Vol 197 ◽  
pp. 359-362 ◽  
Author(s):  
Jifeng Song ◽  
Wenmo Wang ◽  
Yisen Niu ◽  
Juntao Wang ◽  
Hai Yu

2020 ◽  
Vol 118 (3) ◽  
pp. 143a
Author(s):  
Floris Buelens ◽  
Bert L. de Groot ◽  
Helmut Grubmueller
Keyword(s):  

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