| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 2 | Lal U., Vinayak Chikkankod A., Longo L. | Fractal dimensions and machine learning for detection of Parkinson’s disease in resting-state electroencephalography | Neural Computing and Applications | 2024 |    
@article{lal2024fractal, title={Fractal dimensions and machine learning for detection of Parkinson’s disease in resting-state electroencephalography}, author={Lal, Utkarsh and Chikkankod, Arjun Vinayak and Longo, Luca}, journal={Neural Computing and Applications}, volume={36}, number={15}, pages={8257--8280}, year={2024}, publisher={Springer} } [Close]
| Electroencephalography •
Explainable AI •
Fractal dimension •
Entropy •
Sliding windowing •
Feature extraction •
Supervised learning •
Machine Learning •
Deep-learning |
| 1 | Chikkankod A.V., Longo L. | On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps | Machine Learning and Knowledge Extraction | 2022 |
@Article{VinayakLongo2022, AUTHOR = {Chikkankod, Arjun Vinayak and Longo, Luca}, TITLE = {On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps}, JOURNAL = {Machine Learning and Knowledge Extraction}, VOLUME = {4}, YEAR = {2022}, NUMBER = {4}, PAGES = {1042--1064}, URL = {https://www.mdpi.com/2504-4990/4/4/53}, ISSN = {2504-4990},, DOI = {10.3390/make4040053} } [Close]
| electroencephalography • latent space analysis • sliding windowing • convolutional autoencoders • automatic feature extraction • dense neural network |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |