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A recurrent neural network architecture to model physical activity energy expenditure in older people.

, , , , , и . Data Min. Knowl. Discov., 36 (1): 477-512 (2022)

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Bailon Sá

Carlos Rebelo

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Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance., , , и . IDA, том 9897 из Lecture Notes in Computer Science, стр. 393-397. (2016)Mining Frequent Distributions in Time Series., , и . IDEAL (2), том 11872 из Lecture Notes in Computer Science, стр. 271-279. Springer, (2019)Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks., , , , и . EMBC, стр. 2486-2491. IEEE, (2019)Exceptional Preferences Mining., , , и . DS, том 9956 из Lecture Notes in Computer Science, стр. 3-18. (2016)Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks., , , и . SOCO, том 950 из Advances in Intelligent Systems and Computing, стр. 142-153. Springer, (2019)Pattern Mining for Label Ranking. University of Porto, Portugal, (2016)Mining Association Rules for Label Ranking., , , , и . PAKDD (2), том 6635 из Lecture Notes in Computer Science, стр. 432-443. Springer, (2011)KnowBots: Discovering Relevant Patterns in Chatbot Dialogues., , , , и . DS, том 11828 из Lecture Notes in Computer Science, стр. 481-492. Springer, (2019)Smart energy management as a means towards improved energy efficiency., , , и . CoRR, (2018)A recurrent neural network architecture to model physical activity energy expenditure in older people., , , , , и . Data Min. Knowl. Discov., 36 (1): 477-512 (2022)