Titlebook: Applications of Artificial Intelligence and Neural Systems to Data Science; Anna Esposito,Marcos Faundez-Zanuy,Eros Pasero Book 2023 The E

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Empirische Analyse sozialer Problemehe virus to quickly recognize its variant. The selected model BERT is a transformer-based neural network first developed for natural language processing. Nonetheless, it has been effectively used in numerous applications, such as genomic sequence analysis. Thus, the fine-tuning of BERT was performed

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Applications of Artificial Intelligence and Neural Systems to Data Science

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Generating New Sounds by Vector Arithmetic in the Latent Space of the MelGAN Architecturethat may be appealing for musicians, similar to what has already been done in the case of words and images. Specifically, since the MelGAN uses directly the spectrogram as input to its generator, we focus our attention on the linear combination of two or three instrumental sounds. This combination i

CRP743

Graph Neural Networks for Topological Feature Extraction in ECG Classificationon precisely classifying ECGs. While ECG situations have numerous similarities, little attention has been paid to categorizing ECGs using graph neural networks. In this study, we offer three distinct techniques for classifying heartbeats using deep graph neural networks to classify the ECG signals a

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Manifold Learning by a Deep Gaussian Process Variational Autoencoders. Besides, in order to assess quantitatively the performance of the proposed algorithm, an experimental validation protocol has been proposed. Experimental tests on synthetic and real data sets show that DGPVA compares favourably with state-of-the-art Manifold Learning algorithms.