| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 2 | Marochko V., Rogala J., Longo L. | Integrated Gradients for Enhanced Interpretation of P3b-ERP Classifiers Trained with EEG-superlets in Traditional and Virtual Environments | Joint Proceedings of the xAI 2025 Late-breaking Work, Demos and Doctoral Consortium co-located with the 3rd World Conference on eXplainable Artificial Intelligence (xAI 2025) | 2025 |   
@inproceedings{MarochkoLongo2025, title={Integrated Gradients for Enhanced Interpretation of P3b-ERP Classifiers Trained with EEG-superlets in Traditional and Virtual Environments}, author={Marochko, Vladimir and Rogala, Jacek and Longo, Luca}, year={2025}, booktitle = {Joint Proceedings of the xAI 2025 Late-breaking Work, Demos and Doctoral Consortium co-located with the 3rd World Conference on eXplainable Artificial Intelligence (xAI 2025), Istanbul, Turkey, 9-11 July, 2025}, publisher = {CEUR-WS.org}, volume = {4017}, series = {{CEUR} Workshop Proceedings}, editor = {Przemys?aw Biecek, Slawomir Nowaczyk, Gitta Kutyniok, Luca Longo}, pages={49-56}, url={https://ceur-ws.org/Vol-4017/paper_07.pdf} } [Close]
| Event-related potentials • Deep learning • Convolutional neural networks • Explainable Artificial Intelligence •
Integrated Gradients • P3b • Oddball paradigm • time-frequency super-resolution • Superlets. |
| 1 | Marochko V., and Longo L. | Enhancing the analysis of the P300 event-related potential with integrated gradients on a convolutional neural network trained with superlets | 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{Marochko2024, title={Enhancing the analysis of the P300 event-related potential with integrated gradients on a convolutional neural network trained with superlets}, author={Marochko, Vladimir, 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_19.pdf}, volume = {3793}, series = {{CEUR} Workshop Proceedings}, editor = {Luca Longo, Weiru Liu, Grégoire Montavon}, pages={145-152} } [Close]
| Event-related potentials • Deep learning • Convolutional neural networks • Explainable Artificial Intelligence •
Integrated gradients • P3b • Oddball paradigm • time-frequency super-resolution • Superlets |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |