A novel approach for automatic detection of linear and nonlinear dependencies between data by means of autoencoders

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Details

Original languageEnglish
Pages (from-to)285-295
Number of pages11
JournalNeurocomputing
Volume471
Publication statusPublished - 2022
Peer-reviewedYes

External IDs

Scopus 85120311719