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Titlebook: Ambient Intelligence – Software and Applications – 14th International Symposium on Ambient Intellige; Paulo Novais,Vicente Julián Inglada,

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https://doi.org/10.1007/978-3-663-16121-9rios to detect gender. The empirical result based on the study demonstrates that TL outperforms CNN in terms of prediction accuracy, with TL having 95.83% and CNN having 83.11%, and also in terms of recognition time, with TL having 0.23 s and CNN having 0.98 s, amongst other evaluation metrics. The
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https://doi.org/10.1007/978-3-663-00228-4ns or updates were the most performed tasks. However, we observed that the meal summary or meals history are the screens less visualized, which shows that the meals feedback is not used. In summary, the description of one month of interaction with the Food Friend app demonstrates that it’s hard to g
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,Suszeptibilitäten und Responsefunktionen,hether selecting data based on their characteristics (meta-features), and optimizing for maximum diversity, improves model quality while, eventually, allowing to reduce model complexity. This will allow to develop more informed data selection strategies in distributed settings, in which the criteria
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