Neeraj Wagh's Projects
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
Config files for my GitHub profile.
Resources for the IEEE NER 2023 paper: https://ieeexplore.ieee.org/abstract/document/10123800. Decomposition of scalp EEG population data into expert-interpretable factors and their use in understanding differences in smaller clinical cohorts.