Neural-Network-based State Estimation: the effect of Pseudo- measurements. - Andrea Bragantini; Davide Baroli; Andres Felipe Posada-Moreno; Andrea Benigni (ISIE, 2021)

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 (ICPRAM, 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 (ICPRAM, 2022)

Scalable Concept Extraction in Industry 4.0. - Andres Felipe Posada-Moreno; Kai Müller; Florian Brillowski; Friedrich Solowjow; Thomas Gries; Sebastian Trimpe (xAI (3), 2023)

image classification dataset on carbon fiber reinforcement quality control. - Andres Felipe Posada-Moreno; Kai Müller; Florian Brillowski; Friedrich Solowjow; Thomas Gries; Sebastian Trimpe (Zenodo, 2023)

image classification dataset on tailored textiles quality control. - Andres Felipe Posada-Moreno; Kai Müller; Florian Brillowski; Friedrich Solowjow; Thomas Gries; Sebastian Trimpe (Zenodo, 2023)

Scale-preserving automatic concept extraction (SPACE). - Andres Felipe Posada-Moreno; Lukas Kreisköther; Tassilo Glander; Sebastian Trimpe (Mach. Learn., 2023)

Pointwise-in-time diagnostics for reinforcement learning during training and runtime. - Noel Brindise; Andres Felipe Posada-Moreno; Cedric Langbort; Sebastian Trimpe (L4DC, 2024)

On Foundation Models for Dynamical Systems from Purely Synthetic Data. - Martin Ziegler; Andres Felipe Posada-Moreno; Friedrich Solowjow; Sebastian Trimpe (CoRR, 2024)

ECLAD: Extracting Concepts with Local Aggregated Descriptors. - Andres Felipe Posada-Moreno; Nikita Surya; Sebastian Trimpe (Pattern Recognit., 2024)

Concept Extraction for Time Series with ECLAD-ts. - Antonia Holzapfel; Andres Felipe Posada-Moreno; Sebastian Trimpe (CoRR, 2025)