| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 2 | Nakanishi T. Longo L. | Approximate-Inverse Explainability of beta–VAE Latents for Multichannel EEG Participant-generalised Topographical Representation Learning | IEEE Access | 2025 |   
@ARTICLE{NakanishiLongo2025, author={Nakanishi, Takafumi and Longo, Luca}, journal={IEEE Access}, title={Approximate-Inverse Explainability of ?–VAE Latents for Multichannel EEG Participant-Generalised Topographical Representation Learning}, year={2025}, volume={13}, number={}, pages={204773-204795}, keywords={Electroencephalography;Brain modeling;Spatial coherence;Scalp;Perturbation methods;Computational modeling;Explainable AI;Deep learning;Visualization;Videos;Electroencephalography (EEG);?–VAE;topographic mapping;explainable AI (XAI);approximate inverse model explanations (AIME);generative deep learning;representation learning}, doi={10.1109/ACCESS.2025.3635543}} [Close]
| Electroencephalography • Brain modeling • Spatial coherence • Scalp • Perturbation methods • Computational modeling • Explainable AI • Deep learning • Electroencephalography • VAE • topographic mapping • approximate inverse model explanations • generative deep learning • representation learning |
| 1 | Hryniewska-Guzik W., Longo L., Biecek P. | CNN-Based Explanation Ensembling for Dataset, Representation and Explanations Evaluation | eXplainable Artificial Intelligence, The World Conference (xAI-2024) | 2024 | 
@InProceedings{10.1007/978-3-031-63797-1_18, author="Hryniewska-Guzik, Weronika and Longo, Luca and Biecek, Przemys{\l}aw", editor="Longo, Luca and Lapuschkin, Sebastian and Seifert, Christin", title="CNN-Based Explanation Ensembling for Dataset, Representation and Explanations Evaluation", booktitle="Explainable Artificial Intelligence", year="2024", publisher="Springer Nature Switzerland", address="Cham", pages="346--368", isbn="978-3-031-63797-1" } [Close]
| Explainable Artificial Intelligence •
XAI •
Convolutional Neural Network •
model evaluation •
data evaluation •
representation learning •
ensemble •
deep learning •
machine learning |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |