1. Data augmentation on convolutional neural networks to classify mechanical noise;Abeysinghe;Applied Acoustics,2023
2. Synthetic ECG signal generation using probabilistic diffusion models;Adib;IEEE Access,2023
3. Ainsworth, S., Foti, N., Lee, A. K., & Fox, E. (2018). Interpretable VAEs for nonlinear group factor analysis (arXiv:1802.06765). arXiv. https://doi.org/10.48550/arXiv.1802.06765.
4. Alaa, A. M., van Breugel, B., Saveliev, E., & van der Schaar, M. (2022). How faithful is your synthetic data? Sample-level metrics for evaluating and auditing generative models (arXiv:2102.08921). arXiv. https://doi.org/10.48550/arXiv.2102.08921.
5. Diffusion-based conditional ECG generation with structured state space models;Alcaraz;Computers in Biology and Medicine,2023