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Patrick Ruediger-Flore
Patrick Ruediger-Flore
Other namesPatrick Ruediger, Patrick Rüdiger, Patrick Rüdiger-Flore
Juniorprofessor, FBK , RPTU Kaiserslautern-Landau
Verified email at cs.uni-kl.de - Homepage
Title
Cited by
Cited by
Year
Scalability investigation of Double Deep Q Learning for factory layout planning
M Klar, M Hussong, P Ruediger-Flore, L Yi, M Glatt, JC Aurich
Procedia CIRP 107, 161-166, 2022
102022
Spatial sound in a 3d virtual environment: All bark and no bite?
RN Meghanathan, P Ruediger-Flore, F Hekele, J Spilski, A Ebert, ...
Big Data and Cognitive Computing 5 (4), 79, 2021
72021
Breast cancer therapy planning–a novel support concept for a sequential decision making problem
A Scherrer, I Schwidde, A Dinges, P Rüdiger, S Kümmel, KH Küfer
Health care management science 18, 389-405, 2015
62015
Cognitive indicators for acoustic source localization and presence in a vivid 3D scene
P RUEDIGER, J SPILSKI, N KARTAL, S GSUCK, NO BEESE, ...
Proceedings of the 23rd International Congress on Acoustics, 2019
52019
Dealing with uncertainties in manufacturing process simulations
P Ruediger, H Hagen
Applied Mechanics and Materials 869, 226-233, 2017
52017
CAD-based data augmentation and transfer learning empowers part classification in manufacturing
P Ruediger-Flore, M Glatt, M Hussong, JC Aurich
The International Journal of Advanced Manufacturing Technology 125 (11 …, 2023
42023
Software assisted decision making in breast cancer therapy planning
A Scherrer, P Ruediger, A Dinges, KH Kuefer, I Schwidde, S Kuemmel, ...
Operational research applied to health services (ORAHS) 2013 Conference …, 2013
32013
Explainable generative design in manufacturing for reinforcement learning based factory layout planning
M Klar, P Ruediger-Flore, M Schuermann, GT Gören, M Glatt, B Ravani, ...
Journal of Manufacturing Systems 72, 74-92, 2024
22024
Deep Learning zur Unterstützung der Arbeitsplanung: Ein Konzept zur Ermittlung von Vorgangsfolgen durch künstliche neuronale Netze
M Hussong, M Glatt, P Rüdiger-Flore, S Varshneya, P Liznerski, M Kloft, ...
Zeitschrift für wirtschaftlichen Fabrikbetrieb 116 (10), 648-651, 2021
22021
A decision support concept for advanced treatment planning for breast cancer
A Scherrer, P Rüdiger, A Dinges, KH Küfer, I Schwidde, S Kümmel
Operations Research Proceedings 2013: Selected Papers of the International …, 2014
22014
Combining visual analytics and machine learning for reverse engineering in assembly quality control
P Ruediger, F Claus, B Hamann, H Hagen, H Leitte
Electronic Imaging 33, 1-13, 2020
12020
Is it possible to develop a digital twin for noise monitoring in manufacturing?
L Yi, P Ruediger-Flore, A Karnoub, J Mertes, M Glatt, JC Aurich
Digital Twin 4, 4, 2024
2024
Comparing Binary Classification and Autoencoders for Vision-Based Anomaly Detection in Material Flow
P Ruediger-Flore, M Klar, M Hussong, A Mukherjee, M Glatt, JC Aurich
Procedia CIRP 121, 138-143, 2024
2024
A process planning system using deep artificial neural networks for the prediction of operation sequences
M Hussong, S Varshneya, P Rüdiger-Flore, M Glatt, M Kloft, JC Aurich
Procedia CIRP 120, 135-140, 2023
2023
Training a Machine Learning Model for representing Manufacturing Systems towards optimizing Resilience
A Mukherjee, P Ruediger-Flore, A Billimoria, D Chittari, W Mustafa, M Klar, ...
Procedia CIRP 120, 768-773, 2023
2023
PREVIS - A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control
P Ruediger, F Claus, V Leonhard, H Hagen, JC Aurich, C Garth
Procedia CIRP, 483-488, 2022
2022
Maschinelles Lernen bei hohem Variantenreichtum und kleinen Serien: Herausforderungen für die Nutzbarkeit und Implikationen am Beispiel der Nutzfahrzeugproduktion
P Ruediger-Flore, M Glatt, JC Aurich
Zeitschrift für wirtschaftlichen Fabrikbetrieb 166 (7-8), 538-543, 2021
2021
Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles
P Ruediger, C Garth, H Hagen, H Leitte
Open Access Series in Informatics (OASIcs) 89 (2nd International Conference …, 2021
2021
Know What You See-Visual Analytics enabling Machine Learning Performance Evaluation
P Ruediger-Flore
Technische Universität Kaiserslautern, 2021
2021
Pre-filtering of turbulent vector fields in the geodynamo
P Rüdiger, C Weber, H Matsui, E Heien, LH Kellogg, B Hamann, H Hagen
IEEE VIS Conference 2015 - Application Track, 2015
2015
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