article-journal

ECLAD: Extracting Concepts with Local Aggregated Descriptors
A novel method for automatic concept extraction and localization based on representations obtained through pixel-wise aggregations of CNN activation maps.
Andres Felipe Posada-Moreno, Nikita Surya, Sebastian Trimpe
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Scale-Preserving Automatic Concept Extraction (SPACE)
We introduce the Scale-Preserving Automatic Concept Extraction (SPACE) algorithm, as a state-of-the-art alternative concept extraction technique for CNNs, focused on industrial applications.
Andres Felipe Posada-Moreno, Lukas Kreisköther, Tassilo Glander, Sebastian Trimpe
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Process Parameter Prediction for Fused Deposition Modeling Using Invertible Neural Networks
Process Parameter Prediction for Fused Deposition Modeling Using Invertible Neural Networks.
Lukas Pelzer, Andres Felipe Posada-Moreno, Kai Müller, Christoph Greb, Christian Hopmann
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Cargo Wagon Structural Health Estimation Using Computer Vision
This publication describes a vision of a support system for wagon health assessment. In collaboration with DB Cargo.
A. F. Posada-Moreno, C. Klein, M. Haßler, D. Pehar, A. F. Solvay, C. P. Kohlschein
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Simulation-as-a-Service for Reinforcement Learning Applications by Example of Heavy Plate Rolling Processes
In this paper we propose a distributed architecture which allows the remote training of reinforcement learning agents on a simulation.
Christian Scheiderer, Timo Thun, Christian Idzik, Andres Felipe Posada-Moreno, Alexander Krämer, Johannes Lohmar, Gerhard Hirt, Tobias Meisen
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