| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 5 | 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 |
| 4 | Longo L., Reilly R. | Instantiating the onEEGwaveLAD Framework for Real-Time Muscle Artefact Identification and Mitigation in EEG Signals | Sensors | 2025 |
@Article{s25165018, AUTHOR = {Longo, Luca and Reilly, Richard}, TITLE = {Instantiating the onEEGwaveLAD Framework for Real-Time Muscle Artefact Identification and Mitigation in EEG Signals}, JOURNAL = {Sensors}, VOLUME = {25}, YEAR = {2025}, NUMBER = {16}, ARTICLE-NUMBER = {5018}, URL = {https://www.mdpi.com/1424-8220/25/16/5018}, ISSN = {1424-8220}, DOI = {10.3390/s25165018} } [Close]
| electroencephalography • muscle artefacts • real-time denoiser • discrete wavelet transform • Isolation Forest • machine learning • signal processing and restoration • sliding moving buffer |
| 3 | Longo L., Reilly R.B. | onEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation | Plos One | 2025 | 
@article{10.1371/journal.pone.0313076, doi = {10.1371/journal.pone.0313076}, author = {Longo, Luca AND Reilly, Richard B.}, journal = {PLOS ONE}, publisher = {Public Library of Science}, title = {onEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation}, year = {2025}, month = {01}, volume = {20}, url = {https://doi.org/10.1371/journal.pone.0313076}, pages = {1-25}, number = {1}, } [Close]
| Electroencephalography • Isolation Forests • Computational pipelines • Trees • Probability distribution • Time domain analysis • Wavelet transforms • Denoiser • Artefacts • Signal processing |
| 2 | Criscuolo S., Apicella A., Prevete R., Longo L. | Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals | Computer Standards & Interfaces | 2025 |
@article{CRISCUOLO2024103897, title = {Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals}, journal = {Computer Standards & Interfaces}, pages = {103897}, year = {2024}, issn = {0920-5489}, doi = {https://doi.org/10.1016/j.csi.2024.103897}, url = {https://www.sciencedirect.com/science/article/pii/S0920548924000667}, author = {Sabatina Criscuolo and Andrea Apicella and Roberto Prevete and Luca Longo}, keywords = {Electroencephalography, Variational autoencoders, Convolution, Ocular artefacts detection, Latent space interpretation} } [Close]
| Electroencephalography •
Variational autoencoders •
Convolution •
Ocular artefacts • detection •
Latent space interpretation |
| 1 | Criscuolo S., Giugliano S., Apicella, A., Donnarumma F., Amato F. Tedesco A., Longo L. | Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals | 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI) | 2024 |
@INPROCEEDINGS{CriscuoloLongo2024, author={Criscuolo, Sabatina and Giugliano, Salvatore and Apicella, Andrea and Donnarumma, Francesco and Amato, Francesco and Tedesco, Annarita and Longo, Luca}, booktitle={2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)}, title={Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals}, year={2024}, volume={}, number={}, pages={414-419}, keywords={Training;Correlation;Convolution;Noise reduction;Pipelines;Inspection;Brain modeling;Electroencephalography;Space exploration;Recording;Electroencephalography;Autoencoders;Eye-blink Artefacts Detection;Latent Space interpretation;Explain-able Artificial Intelligence}, doi={10.1109/RTSI61910.2024.10761377}} @INPROCEEDINGS{10761377, author={Criscuolo, Sabatina and Giugliano, Salvatore and Apicella, Andrea and Donnarumma, Francesco and Amato, Francesco and Tedesco, Annarita and Longo, Luca}, booktitle={2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)}, title={Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals}, year={2024}, volume={}, number={}, pages={414-419}, keywords={Training;Correlation;Convolution;Noise reduction;Pipelines;Inspection;Brain modeling;Electroencephalography;Space exploration;Recording;Electroencephalography;Autoencoders;Eye-blink Artefacts Detection;Latent Space interpretation;Explain-able Artificial Intelligence}, doi={10.1109/RTSI61910.2024.10761377}} [Close]
| Electroencephalography • Autoencoders • Eye-blink Artefacts Detection • Latent Space interpretation • Explainable Artificial Intelligence • Artificial Intelligence • Machine Learning • Deep learning |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |