paper-with-me

Within-Session Motor Imagery (right hand vs. feet) 벤치마크

Within-Session Motor Imagery (right hand vs. feet) on Weibo2014 MOABB

64개 결과 · ⬇ CSV · JSON

AUC-ROC

60.18 68.48 76.79 85.09 93.39 2024-04 2026-09 ACM + TS + SVM — 93.39429239999998 (2024-04-03) TS + EL — 92.3246172 (2024-04-03) TS + SVM — 91.8383288 (2024-04-03) TS + LR — 91.5263066 (2024-04-03) ShallowConvNet — 88.696109 (2024-04-03) CSP + SVM — 88.6372764 (2024-04-03) CSP + LDA — 88.59406740000001 (2024-04-03) FgMDM — 88.55835479999999 (2024-04-03) DLCSPauto + shLDA — 88.4768809 (2024-04-03) FBCSP + SVM — 88.26785749999999 (2024-04-03) DeepConvNet — 79.28683079999999 (2024-04-03) EEGNet-8,2 — 78.1468433 (2024-04-03) MDM — 65.18000699999999 (2024-04-03) EEGITNet — 62.538903499999996 (2024-04-03) EEGTCNet — 62.3676652 (2024-04-03) EEGNeX — 60.17745599999999 (2024-04-03) ACM + TS + SVM — 93.39429239999998 (2024-04-03) TS + EL — 92.3246172 (2024-04-03) TS + SVM — 91.8383288 (2024-04-03) TS + LR — 91.5263066 (2024-04-03) ShallowConvNet — 88.696109 (2024-04-03) CSP + SVM — 88.6372764 (2024-04-03) CSP + LDA — 88.59406740000001 (2024-04-03) FgMDM — 88.55835479999999 (2024-04-03) DLCSPauto + shLDA — 88.4768809 (2024-04-03) FBCSP + SVM — 88.26785749999999 (2024-04-03) DeepConvNet — 79.28683079999999 (2024-04-03) EEGNet-8,2 — 78.1468433 (2024-04-03) MDM — 65.18000699999999 (2024-04-03) EEGITNet — 62.538903499999996 (2024-04-03) EEGTCNet — 62.3676652 (2024-04-03) EEGNeX — 60.17745599999999 (2024-04-03) ACM + TS + SVM — 93.39429239999998 (2024-04-03) TS + EL — 92.3246172 (2024-04-03) TS + SVM — 91.8383288 (2024-04-03) TS + LR — 91.5263066 (2024-04-03) ShallowConvNet — 88.696109 (2024-04-03) CSP + SVM — 88.6372764 (2024-04-03) CSP + LDA — 88.59406740000001 (2024-04-03) FgMDM — 88.55835479999999 (2024-04-03) DLCSPauto + shLDA — 88.4768809 (2024-04-03) FBCSP + SVM — 88.26785749999999 (2024-04-03) DeepConvNet — 79.28683079999999 (2024-04-03) EEGNet-8,2 — 78.1468433 (2024-04-03) MDM — 65.18000699999999 (2024-04-03) EEGITNet — 62.538903499999996 (2024-04-03) EEGTCNet — 62.3676652 (2024-04-03) EEGNeX — 60.17745599999999 (2024-04-03) ACM + TS + SVM — 93.39429239999998 (2024-04-03) TS + EL — 92.3246172 (2024-04-03) TS + SVM — 91.8383288 (2024-04-03) TS + LR — 91.5263066 (2024-04-03) ShallowConvNet — 88.696109 (2024-04-03) CSP + SVM — 88.6372764 (2024-04-03) CSP + LDA — 88.59406740000001 (2024-04-03) FgMDM — 88.55835479999999 (2024-04-03) DLCSPauto + shLDA — 88.4768809 (2024-04-03) FBCSP + SVM — 88.26785749999999 (2024-04-03) DeepConvNet — 79.28683079999999 (2024-04-03) EEGNet-8,2 — 78.1468433 (2024-04-03) MDM — 65.18000699999999 (2024-04-03) EEGITNet — 62.538903499999996 (2024-04-03) EEGTCNet — 62.3676652 (2024-04-03) EEGNeX — 60.17745599999999 (2024-04-03) ACM + TS + SVM — 93.39429239999998 (2024-04-03)
RankModel AUC-ROCtraining time (s)CO2 Emission (g) PaperCodeYear
1 ACM + TS + SVM 93.39429239999998101.67049312.92276621 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
2 TS + EL 92.324617211.579891810.006040798 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
3 TS + SVM 91.83832889.111104550.0059158554199999994 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
4 TS + LR 91.52630664.602799520.001118637826 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
5 ShallowConvNet 88.69610984.4207699999999919.651363984 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
6 CSP + SVM 88.637276414.51146320.0101869405 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
7 CSP + LDA 88.594067400000012.74036186350.0004474954558 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
8 FgMDM 88.558354799999993.83310352000000030.00180466725 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
9 DLCSPauto + shLDA 88.47688094.5685647230.0007442022196 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
10 FBCSP + SVM 88.267857499999993.094510510.568418502 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
11 DeepConvNet 79.2868307999999935.997003319.414860764000004 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
12 EEGNet-8,2 78.146843324.2519924.84414613 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
13 MDM 65.180006999999992.7964769370.000844543333 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
14 EEGITNet 62.53890349999999619.21955197.962777576000001 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
15 EEGTCNet 62.367665229.5704417.512717858499999 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
16 EEGNeX 60.1774559999999944.797877416.597322944000002 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
17 ACM + TS + SVM 93.39429239999998101.67049312.92276621 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
18 TS + EL 92.324617211.579891810.006040798 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
19 TS + SVM 91.83832889.111104550.0059158554199999994 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
20 TS + LR 91.52630664.602799520.001118637826 The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark NeuroTechX/moabb 2024
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