| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 1 | Chikkankod A.V., Longo L. | A proposal for improving EEG microstate generation via interpretable deep clustering with convolutional autoencoders | Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI 2024) | 2024 |   
@inproceedings{chikkankod2024proposal, title={A proposal for improving EEG microstate generation via interpretable deep clustering with convolutional autoencoders}, author={Chikkankod, Arjun Vinayak and Longo, Luca}, year={2024}, booktitle = {Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI 2024), Valletta, Malta, 17-19 July, 2024}, publisher = {CEUR-WS.org}, url = {https://ceur-ws.org/Vol-3793/paper_4.pdf}, volume = {3793}, series = {{CEUR} Workshop Proceedings}, editor = {Luca Longo, Weiru Liu, Grégoire Montavon}, pages={25-32} } [Close]
| EEG Microstates • Shallow clustering • Deep clustering • Convolutional autoencoders • Resting state • Machine Learning • Deep Learning • Microstate theory |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |