task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | BNCI2014-001 MOABB | EEGTCNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.28639946055555554 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | BNCI2014-001 MOABB | EEGTCNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 41.64616544444444 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | BNCI2014-001 MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 18.299775611111112 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | BNCI2014-001 MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.1578935777777778 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | BNCI2014-001 MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 35.54681733333334 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | BNCI2014-001 MOABB | DeepConvNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 18.38852738888889 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | BNCI2014-001 MOABB | DeepConvNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.15884736222222223 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | BNCI2014-001 MOABB | DeepConvNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 35.29273355555556 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 7.277364225 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.1941063975 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 85.85246441666668 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | ShallowConvNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 24.664789916666667 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | ShallowConvNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.21728041750000002 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | ShallowConvNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 85.02304108333334 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | training time (s) | 14.9374373825 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.004125581083333333 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | Accuracy | 84.87930308333334 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | training time (s) | 75.6071288 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.025638485455833332 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | Accuracy | 84.53929741666667 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 39.13084056666667 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.013120034294166666 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 83.65528725 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGNet-8,2 | https://arxiv.org/abs/2404.15319v1 | training time (s) | 18.622367166666667 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGNet-8,2 | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.16457950333333335 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGNet-8,2 | https://arxiv.org/abs/2404.15319v1 | Accuracy | 83.33782725 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | CSP + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 129.06390283333334 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | CSP + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.04421750124999999 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | CSP + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 83.08474258333334 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | FgMDM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 71.767263065 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | FgMDM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.010749338934166667 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | FgMDM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 83.07198441666667 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | CSP + LDA | https://arxiv.org/abs/2404.15319v1 | training time (s) | 46.6342523525 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | CSP + LDA | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.008406058218333333 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | CSP + LDA | https://arxiv.org/abs/2404.15319v1 | Accuracy | 82.9630775 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | DLCSPauto + shLDA | https://arxiv.org/abs/2404.15319v1 | training time (s) | 8.307476150833333 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | DLCSPauto + shLDA | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.0014094379383333333 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | DLCSPauto + shLDA | https://arxiv.org/abs/2404.15319v1 | Accuracy | 82.06140125 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | FBCSP + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 1.8146779000000002 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | FBCSP + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.00143389045 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | FBCSP + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 81.98970291666666 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | MDM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 8.044291825 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | MDM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.0013000749791666668 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | MDM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 76.04754891666667 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGNeX | https://arxiv.org/abs/2404.15319v1 | training time (s) | 34.04211566666667 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGNeX | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.29802479833333334 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGNeX | https://arxiv.org/abs/2404.15319v1 | Accuracy | 56.41506 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | DeepConvNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 13.242306708333333 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | DeepConvNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.11693505166666666 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | DeepConvNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 55.691373 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 19.01079075 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.16801267050000002 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 50.67784558333334 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGTCNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 14.080227958333333 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGTCNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.12480563316666667 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Zhou2016 MOABB | EEGTCNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 37.193690833333335 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | training time (s) | 86.77469099999999 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.16102813214285713 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | TS + EL | https://arxiv.org/abs/2404.15319v1 | Accuracy | 85.52905985714287 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 707.9741635714284 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 20.32321697142857 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | ACM + TS + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 85.39824135714285 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | ShallowConvNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 1877.5478428571428 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | ShallowConvNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 2.612351642857143 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | ShallowConvNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 85.13492092857142 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | training time (s) | 4.9577661214285715 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.0075348416357142855 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | TS + LR | https://arxiv.org/abs/2404.15319v1 | Accuracy | 84.59829828571428 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 23.104729499999998 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.04492253178571428 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | TS + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 84.41288664285715 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | FgMDM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 61.4208665 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | FgMDM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.09652152407142857 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | FgMDM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 82.97360807142857 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGNet-8,2 | https://arxiv.org/abs/2404.15319v1 | training time (s) | 214.51948785714285 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGNet-8,2 | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.9416739878571428 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGNet-8,2 | https://arxiv.org/abs/2404.15319v1 | Accuracy | 76.98508007142857 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | FBCSP + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 181.90692642857144 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | FBCSP + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.1834183317857143 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | FBCSP + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 75.93963142857143 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | CSP + SVM | https://arxiv.org/abs/2404.15319v1 | training time (s) | 531.3518721428571 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | CSP + SVM | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.8806029271428572 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | CSP + SVM | https://arxiv.org/abs/2404.15319v1 | Accuracy | 75.88554942857144 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | CSP + LDA | https://arxiv.org/abs/2404.15319v1 | training time (s) | 3.027175342857143 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | CSP + LDA | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.004620156871428571 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | CSP + LDA | https://arxiv.org/abs/2404.15319v1 | Accuracy | 72.97147700000001 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | DLCSPauto + shLDA | https://arxiv.org/abs/2404.15319v1 | training time (s) | 2.9170686285714287 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | DLCSPauto + shLDA | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 0.004526741521428572 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | DLCSPauto + shLDA | https://arxiv.org/abs/2404.15319v1 | Accuracy | 72.8150212857143 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGTCNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 471.15728 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGTCNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 2.0679361071428572 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGTCNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 71.11233471428572 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 336.80249142857144 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 1.478115302857143 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGITNet | https://arxiv.org/abs/2404.15319v1 | Accuracy | 70.44199514285714 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGNeX | https://arxiv.org/abs/2404.15319v1 | training time (s) | 1075.1257621428572 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGNeX | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 4.719508371428572 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | EEGNeX | https://arxiv.org/abs/2404.15319v1 | Accuracy | 67.55850299999999 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | DeepConvNet | https://arxiv.org/abs/2404.15319v1 | training time (s) | 405.86182285714284 |
Within-Session Motor Imagery > Within-Session Motor Imagery (all classes) | Schirrmeister2017 MOABB | DeepConvNet | https://arxiv.org/abs/2404.15319v1 | CO2 Emission (g) | 1.7812169435714285 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.