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Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration Data

机译：从原始加速数据评估和提高机器学习模型的泛化性能

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Vahid Farrahi; Maisa Niemela; Petra Tjurin; Maarit Kangas; Raija Korpelainen; Timo Jamsa;
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年度 2020
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1. Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration Data [J] . Farrahi Vahid, Niemela Maisa, Tjurin Petra, Biomedical and Health Informatics, IEEE Journal of . 2020,第1期

机译：从原始加速数据评估和提高机器学习模型的泛化性能
2. Use of structure-activity landscape index curves and curve integrals to evaluate the performance of multiple machine learning prediction models [J] . Norman C LeDonne, Kevin Rissolo, James Bulgarelli, Journal of Cheminformatics . 2011,第S1期

机译：使用结构活动景观指数曲线和曲线积分来评估多个机器学习预测模型的性能
3. Use of structure-activity landscape index curves and curve integrals to evaluate the performance of multiple machine learning prediction models [J] . Norman C LeDonne, Kevin Rissolo, James Bulgarelli, Journal of Cheminformatics . 2011,第S1期

机译：使用结构活动景观指数曲线和曲线积分来评估多个机器学习预测模型的性能
4. Classification of physical activities and sedentary behavior using raw data of 3D hip acceleration [C] . P. Tjurin, M. Niemela, M. Huusko European Medical Biological Engineering Conference . 2018

机译：3D HIP加速度的原始数据分类和久坐行为的分类
5. Machine Learning Predictions of Spectroscopic Properties and Carbonyl Reactivity from a Database of Charge Density Descriptors [D] . Donthula, Kiran Kumar. 2019

机译：从充电密度描述函数的数据库学习的光谱性质和羰基反应性的机器学习预测
6. Use of structure-activity landscape index curves and curve integrals to evaluate the performance of multiple machine learning prediction models [O] . Norman C LeDonne Jr, Kevin Rissolo, James Bulgarelli, 2011

机译：使用结构活动景观指数曲线和曲线积分来评估多个机器学习预测模型的性能
7. Use of structure-activity landscape index curves and curve integrals to evaluate the performance of multiple machine learning prediction models [O] . Norman C LeDonne, Kevin Rissolo, James Bulgarelli, 2011

机译：使用结构活动景观指数曲线和曲线积分来评估多个机器学习预测模型的性能

Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration Data

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