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Despite the state-of-the-art performance of deep convolutional neural networks, they are susceptible to bias and malfunction in unseen situations. Moreover, the complex computation behind their reasoning is not human-understandable to develop trust.
Externí odkaz:
http://arxiv.org/abs/2201.11808
Autor:
Modegh, Rassa Ghavami, Hamidi, Mehrab, Masoudian, Saeed, Mohseni, Amir, Lotfalinezhad, Hamzeh, Kazemi, Mohammad Ali, Moradi, Behnaz, Ghafoori, Mahyar, Motamedi, Omid, Pournik, Omid, Rezaei-Kalantari, Kiara, Manteghinezhad, Amirreza, Javanmard, Shaghayegh Haghjooy, Nezhad, Fateme Abdoli, Enhesari, Ahmad, Kheyrkhah, Mohammad Saeed, Eghtesadi, Razieh, Azadbakht, Javid, Aliasgharzadeh, Akbar, Sharif, Mohammad Reza, Khaleghi, Ali, Foroutan, Abbas, Ghanaati, Hossein, Dashti, Hamed, Rabiee, Hamid R.
COVID-19 is a virus with high transmission rate that demands rapid identification of the infected patients to reduce the spread of the disease. The current gold-standard test, Reverse-Transcription Polymerase Chain Reaction (RT-PCR), has a high rate
Externí odkaz:
http://arxiv.org/abs/2011.11736
Autor:
Ghafoori, Mahyar, Hamidi, Mehrab, Modegh, Rassa Ghavami, Aziz-Ahari, Alireza, Heydari, Neda, Tavafizadeh, Zeynab, Pournik, Omid, Emdadi, Sasan, Samimi, Saeed, Mohseni, Amir, Khaleghi, Mohammadreza, Dashti, Hamed, Rabiee, Hamid R.
Publikováno v:
In Heliyon November 2023 9(11)
Akademický článek
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Despite the state-of-the-art performance of deep convolutional neural networks, they are susceptible to bias and malfunction in unseen situations. The complex computation behind their reasoning is not sufficiently human-understandable to develop trus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f9787becb42455d82bf02f3d84b069f
http://arxiv.org/abs/2201.11808
http://arxiv.org/abs/2201.11808