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Stylianos Asteriadis
Also published under:Stelios Asteriadis, S. Asteriadis
Affiliation
Department of Advanced Computing Sciences, University of Maastricht, Maastricht, The Netherlands
Topic
Feature Representation,Human Activity Recognition,Self-supervised Learning,Action Recognition,Gyroscope,Pretext Task,Self-supervised Learning Methods,Semi-supervised Learning,Deep Learning,Feature Encoder,Inertial Data,Inertial Measurement Unit,Latent Space,Linear Classifier,Representation Learning,Sensor-based Human Activity Recognition,Skeleton Data,Accelerometer,Accelerometer Data,Adam Optimizer,Additive Model,Amount Of Annotated Data,Annotated Dataset,Attention Mechanism,Basic Nature,Batch Normalization,Batch Of Samples,Binary Classification,Case Of Model,Class Activation Maps,Combined Action,Conceptual Representations,Contrast Objective,Convolutional Autoencoder,Convolutional Encoder,Convolutional Layers,Convolutional Neural Network,Convolutional Neural Network Architecture,Cross-entropy Loss,Data Instances,Dataset Split,Deep Neural Network,Device Channel,Dimensional Feature Space,Distance Matrix,Dynamic Scaling,Dynamic Temperature,Dynamic Time Warping,Evaluation Scenarios,Extensive Experiments,
Biography
Stylianos Asteriadis is an assistant professor in the Department of Data Science and Knowledge Engineering at Universiteit Maastricht. Previously, he worked at CERTH as a postdoctoral researcher. His research interests include visual computing, machine intelligence, human emotion, and activity recognition. He has a PhD from the National Technical University of Athens. Contact him at [email protected].