On the Dimensionality and Utility of Convolutional Autoencoder's Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps. - Arjun Vinayak Chikkankod; Luca Longo (Mach. Learn. Knowl. Extr., 2022)

Deep Clustering as a Unified Method for Representation Learning and Clustering of EEG Data for Microstate Theory. - Arjun Vinayak Chikkankod (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

A proposal for improving EEG microstate generation via interpretable deep clustering with convolutional autoencoders. - Arjun Vinayak Chikkankod; Luca Longo (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Fractal dimensions and machine learning for detection of Parkinson's disease in resting-state electroencephalography. - Utkarsh Lal; Arjun Vinayak Chikkankod; Luca Longo (Neural Comput. Appl., 2024)