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Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.

R. Alizadehsani, D. Sharifrazi, N. Izadi, J. Joloudari, A. Shoeibi, J. Górriz, S. Hussain, J. Arco, Z. Sani, F. Khozeimeh, A. Khosravi, S. Nahavandi, S. Islam, and U. Acharya. ACM Trans. Multim. Comput. Commun. Appl., 17 (3s): 104:1-104:24 (2021)

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Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.R. Alizadehsani, D. Sharifrazi, N. Izadi, J. Joloudari, A. Shoeibi, J. Górriz, S. Hussain, J. Arco, Z. Sani, F. Khozeimeh and 4 other author(s). CoRR, (2021)Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review.A. Shoeibi, M. Khodatars, R. Alizadehsani, N. Ghassemi, M. Jafari, P. Moridian, A. Khadem, D. Sadeghi, S. Hussain, A. Zare and 7 other author(s). CoRR, (2020)An expert system for selecting wart treatment method.F. Khozeimeh, R. Alizadehsani, M. Roshanzamir, A. Khosravi, P. Layegh, and S. Nahavandi. Comput. Biol. Medicine, (2017)An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works.D. Sadeghi, A. Shoeibi, N. Ghassemi, P. Moridian, A. Khadem, R. Alizadehsani, M. Teshnehlab, J. Górriz, F. Khozeimeh, Y. Zhang and 2 other author(s). Comput. Biol. Medicine, (2022)Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.R. Alizadehsani, D. Sharifrazi, N. Izadi, J. Joloudari, A. Shoeibi, J. Górriz, S. Hussain, J. Arco, Z. Sani, F. Khozeimeh and 4 other author(s). ACM Trans. Multim. Comput. Commun. Appl., 17 (3s): 104:1-104:24 (2021)CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients.F. Khozeimeh, D. Sharifrazi, N. Izadi, J. Joloudari, A. Shoeibi, R. Alizadehsani, J. Górriz, S. Hussain, Z. Sani, H. Moosaei and 3 other author(s). CoRR, (2021)Machine learning-based coronary artery disease diagnosis: A comprehensive review.R. Alizadehsani, M. Abdar, M. Roshanzamir, A. Khosravi, P. Kebria, F. Khozeimeh, S. Nahavandi, N. Sarrafzadegan, and U. Acharya. Comput. Biol. Medicine, (2019)Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis.R. Alizadehsani, M. Hosseini, R. Boghrati, A. Ghandeharioun, F. Khozeimeh, and Z. Sani. Int. J. Knowl. Discov. Bioinform., 3 (1): 59-79 (2012)Coronary artery disease detection using computational intelligence methods.R. Alizadehsani, M. Zangooei, M. Hosseini, J. Habibi, A. Khosravi, M. Roshanzamir, F. Khozeimeh, N. Sarrafzadegan, and S. Nahavandi. Knowl. Based Syst., (2016)Identification of Clinical Features Associated with Mortality in COVID-19 Patients.R. Eskandarian, R. Alizadehsani, M. Behjati, M. Zahmatkesh, Z. Sani, A. Haddadi, K. Kakhi, M. Roshanzamir, A. Shoeibi, S. Hussain and 7 other author(s). Oper. Res. Forum, (March 2023)

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Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.

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Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.