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Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification

The scarcity of labelled time-series data can hinder a proper training of deep learning models. This is especially relevant for the growing field of ubiquitous computing, where data coming from wearable devices have to be analysed using pattern recognition techniques to provide meaningful applicatio...

詳細記述

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書誌詳細
出版年:Sensors (Basel)
主要な著者: Li, Frédéric, Shirahama, Kimiaki, Nisar, Muhammad Adeel, Huang, Xinyu, Grzegorzek, Marcin
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7435596/
https://ncbi.nlm.nih.gov/pubmed/32751855
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20154271
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