Andres Felipe Posada-Moreno

According to our database, Andres Felipe Posada-Moreno authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ECLAD: Extracting Concepts with Local Aggregated Descriptors.

Andres Felipe Posada-Moreno, Nikita Surya, Sebastian Trimpe

Pattern Recognit., March, 2024

Pointwise-in-time diagnostics for reinforcement learning during training and runtime.

Noel Brindise, Andres Felipe Posada-Moreno, Cedric Langbort, Sebastian Trimpe

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Scale-preserving automatic concept extraction (SPACE).

Andres Felipe Posada-Moreno, Lukas Kreisköther, Tassilo Glander, Sebastian Trimpe

Mach. Learn., November, 2023

image classification dataset on tailored textiles quality control.

Andres Felipe Posada-Moreno, Kai Müller, Florian Brillowski, Friedrich Solowjow, Thomas Gries, Sebastian Trimpe

Dataset, May, 2023

image classification dataset on carbon fiber reinforcement quality control.

Andres Felipe Posada-Moreno, Kai Müller, Florian Brillowski, Friedrich Solowjow, Thomas Gries, Sebastian Trimpe

Dataset, May, 2023

Scalable Concept Extraction in Industry 4.0.

Andres Felipe Posada-Moreno, Kai Müller, Florian Brillowski, Friedrich Solowjow, Thomas Gries, Sebastian Trimpe

Proceedings of the Explainable Artificial Intelligence, 2023

2022

Towards Cargo Wagons Brake Health Scoring through Image Processing.

Andres Felipe Posada-Moreno, Thomas Otte, Damir Pehar, Marc Haßler, Holger Bartels, Anas Abdelrazeq, Frank Hees

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Condition Monitoring of Rail Infrastructure and Rolling Stock using Acceleration Sensor Data of on-Rail Freight Wagons.

Thomas Otte, Andres Felipe Posada-Moreno, Fabian Hübenthal, Marc Haßler, Holger Bartels, Anas Abdelrazeq, Frank Hees

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

2021

Neural-Network-based State Estimation: the effect of Pseudo- measurements.

Andrea Bragantini, Davide Baroli, Andres Felipe Posada-Moreno, Andrea Benigni

Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021