| # | 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 | Longo L., Rajendran M. | A Novel Parabolic Model of Instructional Efficiency Grounded on Ideal Mental Workload and Performanc | Human Mental Workload: Models and Applications | 2021 |
@InProceedings{Longo2021, author="Longo, Luca and Rajendran, Murali", editor="Longo, Luca and Leva, Maria Chiara", title="A Novel Parabolic Model of Instructional Efficiency Grounded on Ideal Mental Workload and Performance", booktitle="Human Mental Workload: Models and Applications", year="2021", publisher="Springer International Publishing", address="Cham", pages="11--36", isbn="978-3-030-91408-0" } [Close]
| Instructional efficiency • Cognitive Load Theory • Mental workload • Performance • Entropy • Validity • Parabolic • Optimality |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |