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Autor:
Meloni, P., Loi, D., Deriu, G., Pimentel, A.D., Sapra, D., Moser, B., Shepeleva, N., Conti, F., Benini, L., Ripolles, O., Solans, D., Pintor, M., Biggio, B., Stefanov, T., Minakova, S., Fragoulis, N., Theodorakopoulos, I., Masin, M., Palumbo, F., Martina, M., Fornanciari, W.
Publikováno v:
INTESA@ESWEEK
INTelligent Embedded Systems Architectures and Applications (INTESA): workshop proceedings 2018 : October 4, 2018, Torino, Italy, 19-26
STARTPAGE=19;ENDPAGE=26;TITLE=INTelligent Embedded Systems Architectures and Applications (INTESA)
Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications-INTESA 18
Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications -INTESA '18
INTelligent Embedded Systems Architectures and Applications (INTESA): workshop proceedings 2018 : October 4, 2018, Torino, Italy, 19-26
STARTPAGE=19;ENDPAGE=26;TITLE=INTelligent Embedded Systems Architectures and Applications (INTESA)
Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications-INTESA 18
Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications -INTESA '18
Novel Deep Learning (DL) algorithms show ever-increasing accuracy and precision in multiple application domains. However, some steps further are needed towards the ubiquitous adoption of this kind of instrument. First, effort and skills required to d