z-logo
open-access-imgOpen Access
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations
Author(s) -
Amin Nikanjam,
Houssem Ben Braiek,
Mohammad Mehdi Morovati,
Foutse Khomh
Publication year - 2021
Publication title -
acm transactions on software engineering and methodology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 78
eISSN - 1557-7392
pISSN - 1049-331X
DOI - 10.1145/3470006
Subject(s) - computer science , metamodeling , graph , fault detection and isolation , precision and recall , construct (python library) , artificial intelligence , deep learning , artificial neural network , machine learning , software , process (computing) , data mining , software engineering , theoretical computer science , programming language , actuator

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom