Titlebook: Distributed Computing and Artificial Intelligence, 15th International Conference; Fernando De La Prieta,Sigeru Omatu,Antonio Fernánd Confe

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Brian Morris,Peggy Crane,Klaus Boehmiscriminated by a Multi Layer Perceptron (MLP) which classifies them into arrhythmic or normal rhythm segments. The results obtained are in the 90% accuracy range, as good as the state of the art published with 1D CNNs, confirming that transfer learning is a good strategy to develop decision models

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Guided Evolutionary Search for Boolean Networks in the Density Classification Problem,ace of network topologies, guided by a parameter (.) related to the ’small-worldness’ of the networks, and then, in the space of Boolean functions, but constraining the network topologies to the best family identified in the previous experiment. The results clearly make it evident the key and succes

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