Publications

A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality

AuthID
P-00W-BD1

Author(s)

Matos, LM

Domingues, A

Moreira, G

Cortez, P

Pilastri, A

Editor(s)

Camacho,D;Tino,P;Allmendinger,R;Yin,H;Tallon Ballesteros,AJ;Tang,K;Cho,S;Novais,P;Nascimento,S

Document Type

Proceedings Paper

Year published

2021

Published

in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743

Volume: 13113 LNCS, Pages: 3-11

Conference

22Nd International Conference on Intelligent Data Engineering and Automated Learning, Ideal 2021, Date: 25 November 2021 through 27 November 2021

Indexing

Scopus^®

Crossref^®1

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-030-91608-4_1

SCOPUS: 2-s2.0-85126457981

Source Identifiers

ISSN: 0302-9743

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality

Useful Links

Get Help

Federated Authentication (Click on the image)

A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality

Useful Links

Get Help