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Pablo Sarabia, Alvaro Araujo, Luis Antonio Sarabia and María de la Cruz Ortiz
Surface electromyography (sEMG) plays a crucial role in several applications, such as for prosthetic controls, human?machine interfaces (HMI), rehabilitation, and disease diagnosis. These applications are usually occurring in real-time, so the classifier...
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Li-Na Wang, Hongxu Wei, Yuchen Zheng, Junyu Dong and Guoqiang Zhong
Ensemble learning, online learning and deep learning are very effective and versatile in a wide spectrum of problem domains, such as feature extraction, multi-class classification and retrieval. In this paper, combining the ideas of ensemble learning, on...
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Anton V. Shafrai, Larisa V. Permyakova, Dmitriy M. Borodulin and Irina Y. Sergeeva
Various methods are used to prevent the deterioration of the biotechnological properties of brewer?s yeast during storage. This paper studied the use of artificial neural networks for the mathematical modeling of correcting the biosynthetic activity of b...
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Jennifer Vardaro, Moritz Schaeffer and Silvia Hansen-Schirra
This study aims to analyse how translation experts from the German department of the European Commission?s Directorate-General for Translation (DGT) identify and correct different error categories in neural machine translated texts (NMT) and their post-e...
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Elif Derya Ü
Pág. 725 - 733
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Passerini, A. Pontil, M. Frasconi, P.
Pág. 45 - 54
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