Abhinav Sattiraju

CS Grad at Georgia Tech

Interested in Applied DL, Tech, Quantitative Finance, Basketball analytics

Experience in Interpretability and Explainability Research

Publications

An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis

A. Sattiraju, C. A. Ellis, R. L. Miller and V. D. Calhoun

2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE)

ABS

Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data

C. A. Ellis, A. Sattiraju, R. L. Miller and V. D. Calhoun

2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

ABS

Novel Approach Explains Spatio-Spectral Interactions In Raw Electroencephalogram Deep Learning Classifiers

C. A. Ellis, A. Sattiraju, R. L. Miller and V. D. Calhoun

2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)

ABS

Examining Effects of Schizophrenia on EEG with Explainable Deep Learning Models

C. A. Ellis, A. Sattiraju, R. Miller and V. Calhoun

2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE)

ABS

Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models

C. A. Ellis, A. Sattiraju, R. Miller and V. Calhoun

2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE)

ABS