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Enrique Hortal
Also published under:E. Hortal
Affiliation
Department of Advanced Computing Sciences, Maastricht University, Maastricht, Netherlands
Topic
Emotion Recognition,Audio Data,Domain Adaptation,Facial Expressions,Generative Adversarial Networks,Knowledge Transfer,Structural Similarity Index,3D Convolution,3D Convolutional Network,Academic Subjects,Action Recognition,Advances In This Area,Affective Computing,Affective States,Annotation Data,Artificial Neural Network,Audio Clips,Autoencoder,Backpropagation,Biological Neural Networks,Classification Output,Collaborative Filtering,Common Representation,Conditional Generative Adversarial Network,Cultural Diversity,Culturally Sensitive,Current Framework,Data Augmentation,Data Corpus,Deep Architecture,Deep Learning,Differences In Neural Activity,Difficulty Level,Diverse School,E-learning Platform,Emotional Context,Emotional Expressions,Emotional States,Energy Function,Excitatory Neurons,Feed-forward Layer,Feedback Connections,Feedback Phase,Flow Theory,Frustration,Fréchet Inception Distance,Game Level,Games For Children,Generative Adversarial Network Architecture,Handwritten Digit Recognition,
Biography
Enrique Hortal has been a postdoctoral researcher at the Department of Data Science and Knowledge Engineering, University of Maastricht, The Netherlands, since April 2016. His research interests include data analysis, human--machine interaction, machine intelligence, and cognitive state recognition. He received the PhD degree in industrial and telecommunications technologies from Miguel Hernandez University of Elche, Spain, in 2016. Contact him at [email protected].