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Titlebook: Advances in Computational Intelligence; 15th International W Ignacio Rojas,Gonzalo Joya,Andreu Catala Conference proceedings 2019 Springer

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A Serious Game to Build a Database for ErrP Signal Recognitionrom severe mental retardation to mild changes in activity and neurological functions. Although the level of intake needed to cause fetal damage is not clear, the magnitude of the problem is significant, with many long-term sequelae. As a result, it becomes critical to better diagnose and manage drug
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https://doi.org/10.1007/978-1-349-05588-3on accuracy using multi-scale image representation and F-transform kernels pre-training. We evaluate our model on two databases and show better performance than networks without F-transform pre-training.
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https://doi.org/10.1007/978-1-349-05588-3ntly, on input (image) reconstruction. Statistical analysis highlighted a correlation between the numerosity present in the input and the population activity of some neurons in the second hidden layer of the network, whereas population activity of neurons in the first hidden layer correlated with to
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,The Visual Discourse of Byron’s Celebrity,ation. As a result, the focus has been shifted to Convolutional Neural Networks (CNNs) and fusion techniques with the hope of better solution. The CNNs have enhanced the state-of-the-art of the human facial identification. However, the CNNs are not easy to train due to degradation problem called (gr
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https://doi.org/10.1057/9780230288386ithm embedded into the evolution of a recurrent Echo State Network. The main features of the temporal data are captured by the dynamical evolution of the network states, which are then subject to a clustering procedure. We apply the proposed algorithm to time series coming from records of eye moveme
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