A novel approach for automatic detection of linear and nonlinear dependencies between data by means of autoencoders
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Details
| Original language | English |
|---|---|
| Pages (from-to) | 285-295 |
| Number of pages | 11 |
| Journal | Neurocomputing |
| Volume | 471 |
| Publication status | Published - 2022 |
| Peer-reviewed | Yes |
External IDs
| Scopus | 85120311719 |
|---|