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pro vyhledávání: '"Rafiee, Nima"'
Autor:
Rafiee, Nima, Gholamipoorfard, Rahil, Adaloglou, Nikolas, Jaxy, Simon, Ramakers, Julius, Kollmann, Markus
Detecting whether examples belong to a given in-distribution or are Out-Of-Distribution (OOD) requires identifying features specific to the in-distribution. In the absence of labels, these features can be learned by self-supervised techniques under t
Externí odkaz:
http://arxiv.org/abs/2201.06378
Classifying samples as in-distribution or out-of-distribution (OOD) is a challenging problem of anomaly detection and a strong test of the generalisation power for models of the in-distribution. In this paper, we present a simple and generic framewor
Externí odkaz:
http://arxiv.org/abs/2012.00461
Autor:
Mehregan, Mahmood, Sheykhi, Mohammad, Alizadeh Kharkeshi, Behrad, Emamian, Amin, Aliakbari, Karim, Rafiee, Nima
Publikováno v:
In Energy Conversion and Management 1 May 2023 283
Autor:
Balakheli, Mohammad Mahdi, Chahartaghi, Mahmood, Sheykhi, Mohammad, Hashemian, Seyed Majid, Rafiee, Nima
Publikováno v:
In Energy Conversion and Management 1 January 2020 203
Autor:
Sheykhi, Mohammad, Chahartaghi, Mahmood, Balakheli, Mohammad Mahdi, Hashemian, Seyed Majid, Miri, Seyyed Mahdi, Rafiee, Nima
Publikováno v:
In Energy Conversion and Management 1 April 2019 185:291-303
Akademický článek
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The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in the