Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands. - Taufique Ahmed; Luca Longo (IEEE Access, 2022)

Latent Space Interpretation and Visualisation for Understanding the Decisions of Convolutional Variational Autoencoders Trained with EEG Topographic Maps. - Taufique Ahmed; Luca Longo (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibility. - Taufique Ahmed; Luca Longo (Inf., 2023)