IEEE Systems, Man and Cybernetics Magazine - July 2023 - 17

ASD
TC
70
30
29.17 70.83
ASD
TC
(a)
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75
25
33.33 66.67
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70
30
26.53 73.47
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(l)
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87.5 12.5
15.62 84.38
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(m)
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84.62 15.38
40
60
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(b)
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83.33 16.67
27.78 72.22
ASD
(h)
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77.78 22.22
36.37 63.63
ASD
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(n)
TC
TC
ASD
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94.74 5.26
20
80
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(c)
ASD
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82.35 17.65
23.33 76.67
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77.5 22.5
12.5 87.5
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(d)
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83.33 16.67
16.67 83.33
ASD
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(e)
73.33 26.67
50
50
ASDTC
(i)(j)
ASD
ASD 81.82 18.18
TC 37.22 62.78
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(o)
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ASD 75.71 24.29
TC 23.81 76.19
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(p)
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60
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75
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29.33 70.67
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40
42.86 57.14
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ASD 76.19 23.81
TC 14.29 85.71
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(q)
Figure 6. The confusion matrices of 17 sites. (a) Caltech. (b) CMU. (c) KKI. (d) Leuven. (e) MaxMun. (f) NYU.
(g) OHSU. (h) Olin. (i) Pitt. (j) SBL. USM. (k) SDSU. (l) Stanford. (m) Trinity. (n) UCLA. (o) UM. (p) USM. (q) Yale.
World Health Organization. Therefore, we will seek to
model a multiclass classifier. In addition, the deep learning
model is like a black box, and it is difficult to achieve
physiological interpretation. We will continue to explore
interpretive methods suitable for the model.
Acknowledgment
This work was supported in part by the National Natural Science
Foundation of China under grant 62172139, the Natural
Science Foundation of Hebei Province under grant
F2022201055, and the Science Research Project of Hebei
Province under grant BJ2020030. The project was funded
by the China Postdoctoral under grant 2022M713361, Natural
Science Interdisciplinary Research Program of Hebei
University under grant DXK202102, Research Project of
Hebei University Intelligent Financial Application Technology
R & D Center under grant XGZJ2022022, Open Project
Program of the National Laboratory of Pattern Recognition
under grant 202200007, and Open Foundation of Guangdong
Key Laboratory of Digital Signal and Image Processing
Technology (2020GDDSIPL-04). This work was also
supported by the High-Performance Computing Center of
Hebei University. Jingwen Yan is the corresponding author.
About the Authors
Shuaiqi Liu (shdkj-1918@163.com) earned his Ph.D.
degree from the Institute of Information Science, Beijing
Jiaotong University, in 2014. He is a professor at the College
of Electronic and Information Engineering, Hebei University,
Baoding 071002, China. His research interests include
image processing and signal processing.
Siqi Wang (sqwang_hbu@163.com) earned her B.S.
degree from the College of Electronic and Information
Engineering, Hebei University, Baoding, China, in 2021.
She is currently pursuing her M. S. degree at the College
of Electronic and Information Engineering, Hebei University,
071002 Baoding, China. Her research interests
include computer vision and image processing.
Hong Zhang (hzhang_hbu@163.com) earned her
B.S. degree from the College of Information Engineering,
Yanshan University, Qnhuangdao, China, in 2019.
She is currently pursuing her M.S. degree at the College
of Electronic and Information Engineering, Hebei University,
071002 Baoding, China. Her research interests
include computer vision and image processing.
Shui-Hua Wang (shuihuawang@ieee.org) earned her
Ph.D. degree in electrical engineering from Nanjing University
in 2017. She was a professor in the School of Computer
Science and Technology, Henan Polytechnic University,
454000 Jiaozo, China. She also served as a research
associate in Loughborough University from 2018-2019.
Her research interests includes machine learning and biomedical
image processing.
Jie Zhao (jzhao_hbu@163.com) earned his Ph.D.
degree in optics from the State Key Laboratory of
Applied Optics, Changchun Institute of Fine Mechanics
and Optics, Academia Sinica, Changchun, China, in
1997. He is a professor in the Department of Electronic
Engineering, University of Shantou, 515063 Shantou,
China. His current research interests include SAR
image processing, hyper-wavelet transforms, and compressed
sensing.
July 2023 IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE 17
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IEEE Systems, Man and Cybernetics Magazine - July 2023

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