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Found 4 papers, 0 papers with code
Learning Generative Image Object Manipulations from Language Instructions
The use of adequate feature representations is essential for achieving high performance in high-level human cognitive tasks in computational modeling.
Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation
Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcomings in either the data or the algorithm.
Interactive user interface based on Convolutional Auto-encoders for annotating CT-scans
It was discovered that the experienced usability and how the users interactied with the system differed between the users.
A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification
Automatic sleep staging is a challenging problem and state-of-the-art algorithms have not yet reached satisfactory performance to be used instead of manual scoring by a sleep technician.
Automatic Sleep Stage Classification
Dimensionality Reduction
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