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Charles A Ellis

Showing results (11-20 of 34) with videos related to

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Frontiers in Psychiatry|March 18, 2024
Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophreniaCharles A Ellis, Robyn L Miller, Vince D Calhoun
Neuroimage. Reports|June 26, 2025
Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamicsCharles A Ellis, Robyn L Miller, Vince D Calhoun
Frontiers in Neuroinformatics|June 17, 2022
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography DataCharles A Ellis, Robyn L Miller, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
A Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis<sup></sup>Charles A Ellis, Robyn L Miller, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|November 28, 2023
CROSS-SAMPLING RATE TRANSFER LEARNING FOR ENHANCED RAW EEG DEEP LEARNING CLASSIFIER PERFORMANCE IN MAJOR DEPRESSIVE DISORDER DIAGNOSISCharles A Ellis, Robyn L Miller, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|March 13, 2023
NOVEL APPROACH EXPLAINS SPATIO-SPECTRAL INTERACTIONS IN RAW ELECTROENCEPHALOGRAM DEEP LEARNING CLASSIFIERSCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|July 3, 2023
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder by Pretraining Deep Learning Models with Single Channel Sleep Stage DataCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|October 24, 2023
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage DataCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|July 3, 2023
An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-based Schizophrenia DiagnosisAbhinav Sattiraju, Charles A Ellis, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|February 26, 2024
Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning ApproachMartina Lapera Sancho, Charles A Ellis, Robyn L Miller, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

Sort By:
Pageof 4
Frontiers in Psychiatry|March 18, 2024
Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophreniaCharles A Ellis, Robyn L Miller, Vince D Calhoun
Neuroimage. Reports|June 26, 2025
Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamicsCharles A Ellis, Robyn L Miller, Vince D Calhoun
Frontiers in Neuroinformatics|June 17, 2022
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography DataCharles A Ellis, Robyn L Miller, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
A Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis<sup></sup>Charles A Ellis, Robyn L Miller, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|November 28, 2023
CROSS-SAMPLING RATE TRANSFER LEARNING FOR ENHANCED RAW EEG DEEP LEARNING CLASSIFIER PERFORMANCE IN MAJOR DEPRESSIVE DISORDER DIAGNOSISCharles A Ellis, Robyn L Miller, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|March 13, 2023
NOVEL APPROACH EXPLAINS SPATIO-SPECTRAL INTERACTIONS IN RAW ELECTROENCEPHALOGRAM DEEP LEARNING CLASSIFIERSCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|July 3, 2023
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder by Pretraining Deep Learning Models with Single Channel Sleep Stage DataCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|October 24, 2023
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage DataCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|July 3, 2023
An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-based Schizophrenia DiagnosisAbhinav Sattiraju, Charles A Ellis, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|February 26, 2024
Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning ApproachMartina Lapera Sancho, Charles A Ellis, Robyn L Miller, et al.
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