Transfer Learning Based Method for Classification of Schizophrenia Using MobileNet
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-031-19958-5_20
Reference29 articles.
1. Abedin, M.Z., Akther, S., Hossain, M.S.: An artificial neural network model for epilepsy seizure detection. In: 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), pp. 860–865. IEEE (2019)
2. Ahmed, T.U., Hossain, M.S., Alam, M.J., Andersson, K.: An integrated CNN-RNN framework to assess road crack. In: 2019 22nd International Conference on Computer and Information Technology (ICCIT), pp. 1–6. IEEE (2019)
3. Ahmed, T.U., Jamil, M.N., Hossain, M.S., Andersson, K., Hossain, M.S.: An integrated real-time deep learning and belief rule base intelligent system to assess facial expression under uncertainty. In: 2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision and Pattern Recognition (icIVPR), pp. 1–6. IEEE (2020)
4. Ahmedt-Aristizabal, D., et al.: Identification of children at risk of schizophrenia via deep learning and EEG responses. IEEE J. Biomed. Health Inf. 25(1), 69–76 (2020)
5. Advances in Intelligent Systems and Computing;N Basnin,2021
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