Ensemble-learning based neural networks for novelty detection in multi-class systems

Title
Ensemble-learning based neural networks for novelty detection in multi-class systems
Authors
Keywords
Novelty detection, Neural networks, Ensemble-learning, Posterior class probability, Confidence intervals
Journal
APPLIED SOFT COMPUTING
Volume 93, Issue -, Pages 106396
Publisher
Elsevier BV
Online
2020-05-19
DOI
10.1016/j.asoc.2020.106396

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search