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pro vyhledávání: '"Rostami, Shahin"'
In this paper, we present a novel neuroevolutionary method to identify the architecture and hyperparameters of convolutional autoencoders. Remarkably, we used a hypervolume indicator in the context of neural architecture search for autoencoders, for
Externí odkaz:
http://arxiv.org/abs/2106.11914
Autor:
Rostami, Shahin
Solving complex real-world problems often involves the simultaneous optimisation of multiple con icting performance criteria, these real-world problems occur in the elds of engineering, economics, chemistry, manufacturing, physics and many more. The
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.644539
Autor:
Rostami, Shahin, Neri, Ferrante
Publikováno v:
In Swarm and Evolutionary Computation June 2017 34:50-67
Publikováno v:
In Information Sciences 20 February 2015 295:494-520
Publikováno v:
In Thermal Methods 2023:405-432
Publikováno v:
Advances in Geo-Energy Research; 2023, Vol. 7 Issue 2, p111-131, 21p
Akademický článek
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Autor:
Heiden, Emily, Jones, Tom, Maczka, Annika Brogaard, Kapoor, Melissa, Chauhan, Milan, Wiffen, Laura, Barham, Helen, Holland, Jeremy, Saxena, Manish, Wegerif, Simon, Brown, Thomas, Lomax, Mitch, Massey, Heather, Rostami, Shahin, Pearce, Laurence, Chauhan, Anoop
Publikováno v:
JMIR Formative Research; Nov2022, Vol. 6 Issue 11, p1-15, 15p
Publikováno v:
Integrated Computer-Aided Engineering. 2017, Vol. 24 Issue 4, p315-335. 21p.