| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 2 | Raufi B., Longo L. | Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG Band Ratios | BioMedInformatics | 2024 |   
@Article{biomedinformatics4010048, AUTHOR = {Raufi, Bujar and Longo, Luca}, TITLE = {Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG Band Ratios}, JOURNAL = {BioMedInformatics}, VOLUME = {4}, YEAR = {2024}, NUMBER = {1}, PAGES = {853--876}, URL = {https://www.mdpi.com/2673-7426/4/1/48}, ISSN = {2673-7426}, DOI = {10.3390/biomedinformatics4010048} } [Close]
| model explainability • mental workload • statistical feature selection • Shapley-based feature selection • alpha and theta EEG band ratios • machine learning • Deep-learning |
| 1 | Raufi B., Longo L. | An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload | Frontiers Neuroinformatics | 2022 | 
@article{RaufiLongo2022, author = {Bujar Raufi and Luca Longo}, title = {An Evaluation of the {EEG} Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload}, journal = {Frontiers Neuroinformatics}, volume = {16}, pages = {861967}, year = {2022}, url = {https://doi.org/10.3389/fninf.2022.861967}, doi = {10.3389/fninf.2022.861967} } [Close]
| human mental workload • EEG band ratios • alpha-to-theta ratios • theta-to-alpha ratios • machine learning • classification • Electroencephalography |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |