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Using Object Affordances to Improve Object Recognition
Object Detection Based on Deep Learning and Context Information
Deep recurrent neural networks for abstractive text summarization
Event-Log Analyse mittels Clustering und Mustererkennung
Nachvollziehbarkeit und Begründbarkeit von Maschinellen Lernverfahren mithilfe von 3D-Visualisierung
Context based Text-generation using LSTM networks
Gumpy: a python toolbox suitable for hybrid brain-computer interfaces
Applicability of Deep Learned vs Traditional Features for Depth Based Classification
Visualisierung der internen Prozesse Künstlicher Neuronaler Netze in Virtual Reality
Learning haptic exploration schemes for adaptive task execution
Visualizing Convolutional Neural Networks with Virtual Reality
Improving the Explainability of Autonomous and Intelligent Systems with Conversational Interfaces
Improving the Explainability of Autonomous and Intelligent Systems with Conversational Interfaces
Intuitive Programming of Conditional Tasks by Demonstration of Multiple Solutions
HPC and HPDA Projects in DLR Aeronautics and Space Research