Publications

Variable Selection and Outlier Detection in Regularized Survival Models: Application to Melanoma Gene Expression Data

AuthID
P-00Q-E1K

Author(s)

Carrasquinha, E

Veríssimo, A

Lopes, MB

Vinga, S

Editor(s)

Nicosia G.Giuffrida G.Nicosia G.Pardalos P.Sciacca V.Umeton R.

Document Type

Proceedings Paper

Year published

2019

Published

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

Volume: 11331 LNCS, Pages: 431-440

Conference

4Th International Conference on Machine Learning, Optimization, and Data Science, Lod 2018, Date: 13 September 2018 through 16 September 2018

Indexing

Scopus^®

Crossref^®2

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-030-13709-0_36

SCOPUS: 2-s2.0-85063566650

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.

Variable Selection and Outlier Detection in Regularized Survival Models: Application to Melanoma Gene Expression Data

Useful Links

Get Help

Federated Authentication (Click on the image)

Variable Selection and Outlier Detection in Regularized Survival Models: Application to Melanoma Gene Expression Data

Useful Links

Get Help