Abhinav Sattiraju

According to our database, Abhinav Sattiraju authored at least 5 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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

Abhinav Sattiraju, Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022

Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models.

Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

Examining Effects of Schizophrenia on EEG with Explainable Deep Learning Models.

Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022