Deep Architectures in Visual Transfer Learning

Author:

Gomaa Walid

Publisher

Springer International Publishing

Reference56 articles.

1. Abdu-Aguye, M.G., Gomaa, W.: Novel approaches to activity recognition based on vector autoregression and wavelet transforms. In: 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 951–954. IEEE (2018)

2. Abdu-Aguye, M.G., Gomaa, W.: Competitive feature extraction for activity recognition based on wavelet transforms and adaptive pooling. In: 2019 International Joint Conference on Neural Networks (IJCNN), pp. 1–8 (2019). https://doi.org/10.1109/IJCNN.2019.8852299

3. Abdu-Aguye, M.G., Gomaa, W.: Robust human activity recognition based on deep metric learning. In: Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, pp. 656–663. INSTICC, SciTePress (2019). https://doi.org/10.5220/0007916806560663

4. Abdu-Aguye, M.G., Gomaa, W.: Versatl: versatile transfer learning for IMU-based activity recognition using convolutional neural networks. In: Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, pp. 507–516. INSTICC, SciTePress (2019). https://doi.org/10.5220/0007916705070516

5. Abdu-Aguye, M.G., Gomaa, W., Makihara, Y., Yagi, Y.: On the feasibility of on-body roaming models in human activity recognition. In: Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, pp. 680–690. INSTICC, SciTePress (2019). https://doi.org/10.5220/0007921606800690

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