Table 4 Classification accuracy of multi-channel EEG signals under different sparsity constraints
From: Non-linear Feature Selection Based on Convolution Neural Networks with Sparse Regularization
Data | Backbone | Original accuracy | LSWFSNet-M(1) | LSWFSNet-M(2) | LSWFSNet-M(1+(2,1))m |
|---|---|---|---|---|---|
DJC20131107 | VGG-16 | 65.76 | 67.22 (9.35) | 64.98 (9.03) | 72.10 (11.61) |
Alexnet | 71.71 | 73.66 (7.74) | 72.68 (10.00) | 73.56 (10.32) | |
Googlenet | 63.51 | 71.90 (18.71) | 66.73 (22.58) | 69.85 (22.90) | |
Resnet-34 | 40.39 | 42.24 (9.35) | 42.83 (11.29) | 45.07 (10.32) | |
Densenet-101 | 38.54 | 40.20 (16.13) | 42.34 (11.94) | 43.32 (14.52) | |
Efficientnet-B0 | 37.95 | 40.10 (10.65) | 38.73 (10.00) | 38.44 (10.65) | |
Mobilenet-V2 | 36.78 | 38.15 (11.94) | 37.76 (12.58) | 37.76 (14.52) | |
JL20140413 | VGG-16 | 68.98 | 65.37 (11.61) | 62.05 (11.29) | 73.76 (5.81) |
Alexnet | 70.83 | 72.88 (11.29) | 73.07 (7.74) | 72.39 (8.06) | |
Googlenet | 69.17 | 70.93 (12.58) | 72.78 (21.61) | 72.59 (23.23) | |
Resnet-34 | 48.88 | 51.22 (12.58) | 44.00 (11.61) | 52.00 (8.39) | |
Densenet-101 | 44.20 | 43.51 (14.84) | 47.71 (7.74) | 44.10 (13.23) | |
Efficientnet-B0 | 40.00 | 40.78 (12.26) | 40.59 (11.61) | 40.78 (21.61) | |
Mobilenet-V2 | 37.66 | 38.54 (13.87) | 37.85 (8.71) | 40.78 (12.58) | |
JL20140404 | VGG-16 | 65.76 | 64.98 (8.39) | 66.73 (10.65) | 74.54 (11.94) |
Alexnet | 71.41 | 73.17 (9.35) | 74.44 (9.35) | 75.12 (10.32) | |
Googlenet | 68.49 | 72.20 (17.10) | 72.20 (24.19) | 71.61 (21.29) | |
Resnet-34 | 39.02 | 44.49 (10.97) | 45.95 (10.00) | 46.24 (14.19) | |
Densenet-101 | 38.73 | 44.29 (11.29) | 41.95 (21.94) | 40.59 (8.71) | |
Efficientnet-B0 | 36.39 | 37.17 (10.65) | 39.12 (10.65) | 38.44 (10.32) | |
Mobilenet-V2 | 36.88 | 39.51 (11.61) | 36.00 (20.00) | 37.56 (13.87) | |
JJ20140629 | VGG-16 | 86.73 | 85.17 (10.65) | 84.88 (11.29) | 87.32 (14.52) |
Alexnet | 85.46 | 87.32 (7.42) | 83.61 (11.61) | 84.59 (10.97) | |
Googlenet | 83.71 | 85.46 (19.35) | 83.22 (17.74) | 83.51 (19.03) | |
Resnet-34 | 75.71 | 76.98 (17.42) | 73.66 (10.65) | 77.76 (23.87) | |
Densenet-101 | 67.32 | 69.56 (11.94) | 64.68 (25.16) | 68.29 (15.16) | |
Efficientnet-B0 | 57.27 | 58.93 (12.58) | 58.73 (15.48) | 59.02 (20.00) | |
Mobilenet-V2 | 41.66 | 45.27 (11.29) | 42.05 (16.45) | 45.37 (14.19) | |
LY2014018 | VGG-16 | 79.81 | 83.90 (8.39) | 80.00 (11.94) | 88.68 (10.32) |
Alexnet | 90.63 | 91.61 (10.97) | 92.20 (10.97) | 93.07 (11.29) | |
Googlenet | 86.73 | 88.68 (21.29) | 88.00 (23.23) | 88.49 (20.00) | |
Resnet-34 | 66.93 | 68.00 (17.42) | 75.22 (15.81) | 68.68 (11.61) | |
Densenet-101 | 56.29 | 58.54 (21.61) | 60.49 (15.81) | 64.49 (18.39) | |
Efficientnet-B0 | 47.61 | 50.05 (11.61) | 49.56 (20.00) | 52.49 (12.90) | |
Mobilenet-V2 | 38.34 | 41.17 (12.26) | 46.83 (13.87) | 40.88 (11.29) | |
LY20140506 | VGG-16 | 61.56 | 61.57 (9.68) | 65.85 (13.23) | 58.93 (10.32) |
Alexnet | 82.63 | 85.07 (10.00) | 86.05 (10.00) | 79.02 (10.65) | |
Googlenet | 73.07 | 75.61 (9.68) | 78.34 (17.42) | 78.73 (9.35) | |
Resnet-34 | 54.73 | 56.98 (11.29) | 56.49 (12.58) | 56.49 (9.35) | |
Densenet-101 | 55.02 | 55.71 (11.94) | 55.61 (14.52) | 54.15 (7.10) | |
Efficientnet-B0 | 43.02 | 46.54 (8.39) | 43.02 (17.42) | 47.32 (10.97) | |
Mobilenet-V2 | 37.66 | 39.02 (9.68) | 39.90 (10.00) | 42.15 (21.61) | |
MHW20131016 | VGG-16 | 81.56 | 82.05 (8.06) | 88.78 (8.71) | 76.39 (10.65) |
Alexnet | 88.88 | 90.15 (9.68) | 88.88 (10.00) | 89.17 (6.45) | |
Googlenet | 88.59 | 89.37 (21.61) | 87.90 (13.87) | 87.71 (15.16) | |
Resnet-34 | 74.83 | 77.66 (17.10) | 79.51 (19.35) | 77.37 (17.42) | |
Densenet-101 | 64.20 | 66.05 (9.03) | 68.88 (10.97) | 66.44 (14.84) | |
Efficientnet-B0 | 53.66 | 57.76 (12.26) | 60.29 (13.87) | 60.20 (19.35) | |
Mobilenet-V2 | 40.88 | 43.51 (9.68) | 42.54 (8.71) | 42.73 (12.58) | |
LQJ20140621 | VGG-16 | 91.22 | 90.15 (10.00) | 91.10 (10.65) | 92.00 (10.97) |
Alexnet | 93.46 | 92.29 (13.23) | 89.56 (11.61) | 91.61 (9.35) | |
Googlenet | 91.80 | 92.20 (18.71) | 92.29 (21.29) | 92.39 (19.03) | |
Resnet-34 | 83.51 | 86.05 (13.23) | 80.00 (11.61) | 87.22 (11.29) | |
Densenet-101 | 75.22 | 79.90 (18.06) | 75.80 (7.42) | 80.00 (19.68) | |
Efficientnet-B0 | 65.95 | 67.22 (15.48) | 70.54 (9.68) | 69.76 (16.45) | |
Mobilenet-V2 | 53.37 | 61.85 (10.65) | 55.12 (8.71) | 57.76 (13.55) |