Charles A. Ellis

33 papers C 8Journal 5Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Decentralized ComBat-Mega for Harmonizing FNC Data in Coinstac. ISBI Sunitha Basodi, Charles A. Ellis, Biozid Bostami, Frank G. Hillary, Sandeep R. Panta, Vince D. Calhoun
2024	—	`conf`	Cross-Sampling Rate Transfer Learning for Enhanced Raw EEG Deep Learning Classifier Performance in Major Depressive Disorder Diagnosis. ISBI Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2024	—	`conf`	Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram Data. EMBC Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2024	—	`conf`	Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning Architectures. xAI (4) Charles A. Ellis, Martina Lapera Sancho, Robyn L. Miller, Vince D. Calhoun
2024	—	`conf`	Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning Approach. EMBC Martina Lapera Sancho, Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2024	—	`conf`	Improving Age Prediction: Utilizing LSTM-Based Dynamic Forecasting For Data Augmentation in Multivariate Time Series Analysis. SSIAI Yutong Gao, Charles A. Ellis, Vince D. Calhoun, Robyn L. Miller
2024	J	`jnl`	Multimodal MRI-based Detection of Amyloid Status in Alzheimer's Disease Continuum. CoRR Giorgio Dolci, Charles A. Ellis, Federica Cruciani, Lorenza Brusini, Anees Abrol, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun
2024	—	`conf`	Uncovering Effects of Schizophrenia upon a Maximally Significant, Minimally Complex Subset of Default Mode Network Connectivity Features. EMBC Masoud Seraji, Charles A. Ellis, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	A Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis. EMBC Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity Analysis. EMBC Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	C	`conf`	An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis. BIBE Abhinav Sattiraju, Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	Identifying Neuropsychiatric Disorder Subtypes and Subtype-Dependent Variation in Diagnostic Deep Learning Classifier Performance. ISBI Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	Improving Explainability for Single-Channel EEG Deep Learning Classifiers via Interpretable Filters and Activation Analysis. BIBM Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data. BIBM Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
2023	J	`jnl`	Improving age prediction: Utilizing LSTM-based dynamic forecasting for data augmentation in multivariate time series analysis. CoRR Yutong Gao, Charles A. Ellis, Vince D. Calhoun, Robyn L. Miller
2023	—	`conf`	Neuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier Explanations. EMBC Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	Novel Approach Explains Spatio-Spectral Interactions In Raw Electroencephalogram Deep Learning Classifiers. ICASSP Workshops Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
2023	J	`jnl`	Novel methods for elucidating modality importance in multimodal electrophysiology classifiers. Frontiers Neuroinformatics Charles A. Ellis, Mohammad S. Eslampanah Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Vince D. Calhoun
2022	—	`conf`	A Model Visualization-based Approach for Insight into Waveforms and Spectra Learned by CNNs. EMBC Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2022	J	`jnl`	A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data. Frontiers Neuroinformatics Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2022	C	`conf`	An Approach for Estimating Explanation Uncertainty in fMRI dFNC Classification. BIBE Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2022	—	`conf`	An Unsupervised Feature Learning Approach for Elucidating Hidden Dynamics in rs-fMRI Functional Network Connectivity. EMBC Charles A. Ellis, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
2022	C	`conf`	Examining Effects of Schizophrenia on EEG with Explainable Deep Learning Models. BIBE Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
2022	C	`conf`	Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models. BIBE Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
2022	C	`conf`	Exploring Relationships between Functional Network Connectivity and Cognition with an Explainable Clustering Approach. BIBE Charles A. Ellis, Martina Lapera Sancho, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
2021	C	`conf`	A Gradient-based Approach for Explaining Multimodal Deep Learning Classifiers. BIBE Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Robyn L. Miller, May D. Wang
2021	—	`conf`	A Novel Activation Maximization-based Approach for Insight into Electrophysiology Classifiers. BIBM Charles A. Ellis, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
2021	C	`conf`	A Novel Local Ablation Approach for Explaining Multimodal Classifiers. BIBE Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Mohammad S. Eslampanah Sendi, May D. Wang, Robyn L. Miller
2021	C	`conf`	A Novel Local Explainability Approach for Spectral Insight into Raw EEG-based Deep Learning Classifiers. BIBE Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2021	J	`jnl`	Algorithm-Agnostic Explainability for Unsupervised Clustering. CoRR Charles A. Ellis, Mohammad S. Eslampanah Sendi, Sergey M. Plis, Robyn L. Miller, Vince D. Calhoun
2021	—	`conf`	Explainable Sleep Stage Classification with Multimodal Electrophysiology Time-series EMBC Charles A. Ellis, Rongen Zhang, Darwin A. Carbajal, Robyn L. Miller, Vince D. Calhoun, May D. Wang
2021	—	`conf`	Hierarchical Neural Network with Layer-wise Relevance Propagation for Interpretable Multiclass Neural State Classification. NER Charles A. Ellis, Mohammad S. Eslampanah Sendi, Jon T. Willie, Babak Mahmoudi
2019	—	`conf`	A Cloud-based Framework for Implementing Portable Machine Learning Pipelines for Neural Data Analysis. EMBC Charles A. Ellis, Ping Gu, Mohammad S. Eslampanah Sendi, Daniel E. Huddleston, Ashish Sharma, Babak Mahmoudi