Author:
Adachi Kohei,Lago Paula,Hattori Yuichi,Inoue Sozo
Publisher
Springer Nature Singapore
Reference21 articles.
1. Bulling, A., Blanke, U., Schiele, B.: A tutorial on human activity recognition using body-worn inertial sensors. ACM Comput. Surv. 46(3) (2014). https://doi.org/10.1145/2499621
2. Chang, Y., Mathur, A., Isopoussu, A., Song, J., Kawsar, F.: A systematic study of unsupervised domain adaptation for robust human-activity recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1) (2020). https://doi.org/10.1145/3380985
3. Dernbach, S., Das, B., Krishnan, N.C., Thomas, B.L., Cook, D.J.: Simple and complex activity recognition through smart phones. In: 2012 Eighth International Conference on Intelligent Environments, pp. 214–221 (2012). https://doi.org/10.1109/IE.2012.39
4. Dietterich, T.G.: Ensemble methods in machine learning. In: Multiple Classifier Systems, pp. 1–15. Springer, Heidelberg (2000)
5. Gauraha, N., Carlsson, L., Spjuth, O.: Conformal prediction in learning under privileged information paradigm with applications in drug discovery. In: Gammerman, A., Vovk, V., Luo, Z., Smirnov, E., Peeters, R. (eds.) Proceedings of the Seventh Workshop on Conformal and Probabilistic Prediction and Applications, Proceedings of Machine Learning Research, vol. 91, pp. 147–156. PMLR (2018). http://proceedings.mlr.press/v91/gauraha18a.html
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Classification of Nursing Care Activities Using Smartwatches;2024 International Conference on Activity and Behavior Computing (ABC);2024-05-29
2. Semantic Loss;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-12-19
3. Learning Using Privileged Information for Wearable-based Human Activity Recognition;2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops);2023-03-13
4. Improving Noise Robustness of Single Sensor Data in Human Activity Recognition With UMAP and Additional Data;Proceedings of the 2022 ACM International Symposium on Wearable Computers;2022-09-11