Magnetic-Field-Based Indoor Positioning Using Temporal Convolutional Networks
Guanglie Ouyang, Karim Abed-Meraim, Zuokun Ouyang
Sensors 23(3), 1514
Research / 研究
研究训练，是判断模型边界的方法
从时间序列预测到室内定位，博士阶段的研究让我持续关注：问题是否被正确表述，比较是否公平，结论是否经得住验证。
公开论文
这里只保留可核验的真实论文，旧模板中的示例条目不会迁入新站。
Are Deep Learning Models Practically Good as Promised? A Strategic Comparison of Deep Learning Models for Time Series Forecasting
Zuokun Ouyang, Philippe Ravier, Meryem Jabloun
30th European Signal Processing Conference (EUSIPCO)
STL Decomposition of Time Series Can Benefit Forecasting Done by Statistical Methods but not by Machine Learning Ones
Zuokun Ouyang, Philippe Ravier, Meryem Jabloun
ITISE 2021 · Engineering Proceedings 5(1), 42