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Espen F. Alexander Ihlen
Also published under:Espen A. F. Ihlen, E. A. F. Ihlen, Espen Alexander F. Ihlen
Affiliation
Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
Topic
Deep Learning,Graph Convolutional Network,Human Activity Recognition,Neural Architecture Search,Action Recognition,Advances In Deep Learning,Angular Velocity,Architecture Configuration,Attenuation Constant,Attribution Scores,Average Accuracy,Batch Size,Building Blocks,Camera View,Cerebral Palsy,Chebyshev Polynomials,Class Activation Maps,Color Code,Combination Of Sensors,Computational Complexity,Computational Complexity Analysis,Convolutional Neural Network,Convolutional Neural Network Model,Correlation-based Feature Selection,Cross-validation Procedure,Deep Learning Models,Deep Neural Network,Domain Experts,Ensemble Model,Exercise,Explainable AI Methods,Explainable Artificial Intelligence,Exploitative Behavior,Exploratory Behavior,Feature Selection Approach,Feature Selection Methods,Feature Selection Techniques,Feature Subset,Final Layer,Free-living Conditions,Global Average Pooling,Gradient-weighted Class Activation Mapping,Graph Convolution,Graph Convolutional Network Model,Graph Neural Networks,Individual Models,Inertial Measurement Unit,Infinite Impulse Response,Learning Rate,Low Back,
Biography
Espen Alexander F. Ihlen received the M.Sc. degree in human movement science and the Ph.D. degree in medical technology. He is currently a Senior Researcher in human movement science with Norwegian University of Science and Technology. Additionally, he is a Research Coordinator and a Data Scientist with Initial Force AS.