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Annotation 7700819610892

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Deep Neural Network Ensembles for Time Series Classification [8]. In this paper, authors show how an ensemble of multiple Convolutional Neural Networks can improve upon the state-of-the-art performance of individual neural networks.
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From Neural Network architectures perspective, close to our work is Deep Neural Network Ensembles for Time Series Classification [8]. In this paper, authors show how an ensemble of multiple Convolutional Neural Networks can improve upon the state-of-the-art performance of individual neural networks. They use 6 deep learning classifiers including Multi-Layer Perceptron, Fully Convolutional Neural Network, Residual Network, Encoder [20], Multi-Channels Deep Convolutional Neural Netwo

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Article 7700852641036

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Annotation 7700853951756

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* ... you follow your friends' annotations. * Buboflash collects all annotations in a priority queue for reviewing. * You review for days and weeks, and when you want to memorise a fact, * you <span>convert an annotation to a flashcard: a pair of question and answer. * You repeat it and Buboflash schedules repetitions for you - completely automatically. BUBOFLASH IS SMART * Repetitions will guarantee that you remember it all - almost all actually!