Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization. - Saurav Jha; Martin Schiemer; Juan Ye (CoRR, 2020)

Continual learning in sensor-based human activity recognition: An empirical benchmark analysis. - Saurav Jha; Martin Schiemer; Franco Zambonelli; Juan Ye (Inf. Sci., 2021)

Continual Activity Recognition with Generative Adversarial Networks. - Juan Ye; Pakawat Nakwijit; Martin Schiemer; Saurav Jha; Franco Zambonelli (ACM Trans. Internet Things, 2021)

Hadamard Domain Training with Integers for Class Incremental Quantized Learning. - Martin Schiemer; Clemens JS Schaefer; Jayden Parker Vap; Mark James Horeni; Yu Emma Wang; Juan Ye; Siddharth Joshi 001 (CoRR, 2023)

Online continual learning for human activity recognition. - Martin Schiemer; Lei Fang 001; Simon Dobson; Juan Ye (Pervasive Mob. Comput., 2023)

Hadamard Domain Training with Integers for Class Incremental Quantized Learning. - Martin Schiemer; Clemens JS Schaefer; Mark James Horeni; Yu Emma Wang; Juan Ye; Siddharth Joshi 001 (CoLLAs, 2024)

Continual learning in sensor-based human activity recognition with dynamic mixture of experts. - Fahrurrozi Rahman; Martin Schiemer; Andrea Rosales Sanabria; Juan Ye (Pervasive Mob. Comput., 2025)