Paper Info
Title
Quality Monitoring and Assessment of Deployed Deep Learning Models for Network AIOps
Abstract
Artificial intelligence (AI) has recently attracted a lot of attention, transitioning from research labs to a wide range of successful deployments in many fields, which is particularly true for deep learning (DL) techniques. Ultimately, DL models, being software artifacts, need to be regularly maintained and updated: AIOps is the logical extension of the DevOps software development practices to AI...
Year
DOI
Venue
2021
10.1109/MNET.001.2100227
IEEE Network
Keywords
DocType
Volume
Deep learning, Image recognition, Software, Quality assessment, Artificial intelligence, Monitoring, Context modeling
Journal
35
Issue
ISSN
Citations 
6
0890-8044
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Lixuan Yang100.34
Dario Rossi200.34