helpResearch questionHAR模型鲁棒性、泛化与数据增强
深度学习与传统机器学习（如XGBoost和LightGBM）结合后，能否改善不同缺失传感器场景下的分类性能？UbiComp '24Ensemble Learning Approach for Human Activity Recognition Involving Missing Sensor Data
传感、识别与安全 / HAR模型鲁棒性、泛化与数据增强
深度学习与传统机器学习（如XGBoost和LightGBM）结合后，能否改善不同缺失传感器场景下的分类性能？
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helpResearch questionHAR模型鲁棒性、泛化与数据增强
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helpResearch questionHAR模型鲁棒性、泛化与数据增强
单通道、多通道与跨通道特征对KAN架构在人类活动识别中的表现有何影响？UbiComp '24Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition
helpResearch questionHAR模型鲁棒性、泛化与数据增强
在相比CNN的特征提取中，KAN在参数效率和分类准确性上是否具有优势？UbiComp '24Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition
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主动声学技术能否通过智能眼镜精确监测并识别多样的日常活动？UbiComp '24ActSonic: Recognizing Everyday Activities from Inaudible Acoustic Wave Around the Body
helpResearch questionHAR模型鲁棒性、泛化与数据增强
如何利用深度学习和自监督学习，从无标签数据中提取有效特征以提高活动识别性能？UbiComp '24ActSonic: Recognizing Everyday Activities from Inaudible Acoustic Wave Around the Body
helpResearch questionHAR模型鲁棒性、泛化与数据增强
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