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Donald A. Adjeroh
Also published under:D. A. Adjeroh, Donald Adjeroh, D. Adjeroh, Don Adjeroh
Affiliation
Lane Department of Computer Science and Electrical Engineering, Benjamin M. Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, USA
Topic
Convolutional Neural Network,Data Augmentation,Self-supervised Learning,Training Set,Latent Space,Machine Learning,Pretext Task,Attention Mechanism,Bilevel Optimization,Bounding Box,Catastrophic Forgetting,Classification Performance,Classification Results,Contrastive Loss,Deep Learning,Electrocardiogram Signals,Gated Recurrent Unit,Image Classification,ImageNet,Incremental Learning,Loss Function,Machine Learning Models,Medical Imaging,Motor Imagery,Multi-label,Mutual Information,Nuclear Enrichment,Pre-trained Encoder,Projector,Random Forest,Redundancy Reduction,Sequence Learning,Subcellular Localization,Subject ID,Time Series,Training Protocol,Triplet Loss,Vision Transformer,1D Convolutional Neural Network,3D Segmentation,3D Video,3D Volume,Academic Integrity,Action Classes,Action Detection,Action Labels,Action Proposals,Action Recognition,Advanced Programs,Advances In Deep Learning,
Biography
Donald Adjeroh (Member, IEEE) received the PhD degree in CS from the Chinese University of Hong Kong, Hong Kong. He is currently a professor and associate department chair at the Lane Department of CS and EE at West Virginia University, Morgantown, West Virginia. His research interests include machine learning and biomedical informatics. His work has been supported by grants from various federal agencies. He received the Department of Energy CAREER Award, in 2002.