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Table 1 Cross-validation % accuracy (average ± standard deviation) obtained using each algorithm and source dataset to re-train the CNN

From: Comparison of deep transfer learning algorithms and transferability measures for wearable sleep staging

 

CiCC

ISRUC

MASS

SHHS

WSC

MrOS

Head Re-train

78.1 ± 6.3

75.9 ± 6.8

75.5 ± 6.9

76.0 ± 6.5

76.5 ± 6.4

76.2 ± 8.9

Subspace alignment

53.7 ± 14.1

48.0 ± 12.6

43.3 ± 11.8

45.9 ± 11.3

45.0 ± 12.0

36.7 ± 12.9

CORAL

78.0 ± 6.3

76.1 ± 6.3

76.8 ± 6.1

75.5 ± 6.3

76.6 ± 6.0

77.1 ± 6.4

Per-Class CORAL

78.0 ± 5.7

75.7 ± 6.8

76.4 ± 5.9

75.6 ± 6.2

76.0 ± 6.1

77.2 ± 5.9

DDC

75.7 ± 8.3

77.7 ± 6.7

77.4 ± 8.5

78.8 ± 7.5

75.9 ± 9.1

79.0 ± 6.3