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EBIC.JL : an efficient implementation of evolutionary bi..:

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

Renc, Paweł ; Orzechowski, Patryk ; Byrski, Aleksander.. - p. 1540-1548 , 2021

Link: https://dl.acm.org/doi/10.1145/3449726.3463197

RT 
T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>EBIC.JL				: an efficient implementation of evolutionary biclustering algorithm in Julia</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3463197&Exemplar=1&LAN=DE
				
A1 Renc, Paweł
A1 Orzechowski, Patryk
A1 Byrski, Aleksander
A1 Wăs, Jarosław
A1 Moore, Jason H.
PB ACM
YR 2021
K1 biclustering
K1 data mining
K1 evolutionary computation
K1 machine learning
K1 parallel algorithms
K1 Information systems
K1 Information retrieval
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Unsupervised learning
K1 Cluster analysis
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Parallel algorithms
K1 Massively parallel algorithms
K1 Machine learning approaches
K1 Bio-inspired approaches
K1 Artificial intelligence
K1 Search methodologies
SP 1540
OP 1548
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3449726.3463197
DO https://dl.acm.org/doi/10.1145/3449726.3463197
SF ELIB - SuUB Bremen

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