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Evaluating medical aesthetics treatments through evolved ag..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,

Miikkulainen, Risto ; Meyerson, Elliot ; Qiu, Xin... - p. 1009-1017 , 2021

Link: https://dl.acm.org/doi/10.1145/3449639.3459378

RT 
T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference</cTitle>: T1 <Title>Evaluating medical aesthetics treatments through evolved age-estimation models</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3459378&Exemplar=1&LAN=DE
				
A1 Miikkulainen, Risto
A1 Meyerson, Elliot
A1 Qiu, Xin
A1 Sinha, Ujjayant
A1 Kumar, Raghav
A1 Hofmann, Karen
A1 Yan, Yiyang Matt
A1 Ye, Michael
A1 Yang, Jingyuan
A1 Caiazza, Damon
A1 Brown, Stephanie Manson
PB ACM
YR 2021
K1 medical aesthetics
K1 neural architecture search
K1 real-world applications
K1 uncertainty estimation
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Bio-inspired approaches
K1 Genetic algorithms
K1 Neural networks
K1 Applied computing
K1 Life and medical sciences
K1 Health informatics
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic inference problems
K1 Hypothesis testing and confidence interval computation
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision tasks
SP 1009
OP 1017
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3449639.3459378
DO https://dl.acm.org/doi/10.1145/3449639.3459378
SF ELIB - SuUB Bremen

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