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Neeraj Wagh
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2020 – today
- 2023
- [c4]Teja Gupta, Neeraj Wagh, Samarth Rawal, Brent M. Berry, Gregory A. Worrell, Yogatheesan Varatharajah:
Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. NER 2023: 1-4 - 2022
- [c3]Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Yogatheesan Varatharajah:
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts. NeurIPS 2022 - [i3]Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry
, Yogatheesan Varatharajah:
Assessing Robustness of EEG Representations under Data-shifts via Latent Space and Uncertainty Analysis. CoRR abs/2209.11233 (2022) - [i2]Teja Gupta, Neeraj Wagh, Samarth Rawal, Brent M. Berry
Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. CoRR abs/2211.13793 (2022) - 2021
- [c2]Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Leland Barnard, Benjamin H. Brinkmann, Gregory A. Worrell, David T. Jones, Yogatheesan Varatharajah:
Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability. ML4H@NeurIPS 2021: 130-142 - 2020
- [c1]Neeraj Wagh, Yogatheesan Varatharajah:
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network. ML4H@NeurIPS 2020: 367-378 - [i1]Neeraj Wagh, Yogatheesan Varatharajah:
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network. CoRR abs/2011.12107 (2020)
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