| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 1 | Ahmed T., Biecek P. Longo L. | Latent Space Interpretation and Mechanistic Clipping of Subject-Specific Variational Autoencoders of EEG Topographic Maps for Artefacts Reduction | eXplainable Artificial Intelligence, The World Conference (xAI-2025) | 2025 |   
@InProceedings{AhmedLongo2025, author="Ahmed, Taufique and Biecek, Przemyslaw and Longo, Luca", editor="Guidotti, Riccardo and Schmid, Ute and Longo, Luca", title="Latent Space Interpretation and Mechanistic Clipping of Subject-Specific Variational Autoencoders of EEG Topographic Maps for Artefacts Reduction", booktitle="Explainable Artificial Intelligence", year="2026", publisher="Springer Nature Switzerland", address="Cham", pages="327--350", isbn="978-3-032-08327-2" } [Close]
| Electroencephalography •
Spectral topographic maps •
Subject-specific •
Variational autoencoder •
Latent space •
interpretability •
Artefacts removal •
Deep learning •
full automation •
explainable AI |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |