Publikationen der Abteilung Kognitive Industrielle Systeme (KIS)

Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
2024 Professionelle Leitung von KI-Projekten in der Industrie - wie geht Systems Engineering mit KI?
Pfrommer, Julius; Usländer, Thomas
Internetbeitrag
Internet Contribution
2024 Root cause analysis using anomaly detection and temporal informed causal graphs
Rehak, Josephine; Youssef, Shahenda; Beyerer, Jürgen
Konferenzbeitrag
Conference Paper
2024 Metrics for the evaluation of learned causal graphs based on ground truth
Rehak, Josephine; Falkenstein, Alexander; Doehner, Frank; Beyerer, Jürgen
Konferenzbeitrag
Conference Paper
2024 6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly
Wu, Chengzhi; Fu, Hao; Kaiser, Jan-Philipp; Tabuchi Barczak, Erik; Pfrommer, Julius; Lanza, Gisela; Heizmann, Michael; Beyerer, Jürgen
Zeitschriftenaufsatz
Journal Article
2024 Retrofitting cyber-physical production systems with radio-based sensors and ML
Kühnert, Christian; Wallner, Steffen; Wessels, Lars; Wunsch, Andreas; Ziebarth, Mathias
Konferenzbeitrag
Conference Paper
2023 Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
Wu, Chengzhi; Pfrommer, Julius; Beyerer, Jürgen; Li, Kangning; Neubert, Boris
Paper
2023 Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input
Wu, Chengzhi; Pfrommer, Julius; Zhou, Mingyuan; Beyerer, Jürgen
Paper
2023 SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning
Wu, Chengzhi; Qiu, Linxi; Zhou, Kanran; Pfrommer, Julius; Beyerer, Jürgen
Paper
2023 Attention-Based Point Cloud Edge Sampling
Wu, Chengzhi; Zheng, Junwei; Pfrommer, Julius; Beyerer, Jürgen
Konferenzbeitrag
Conference Paper
2023 Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly
Wu, Chengzhi; Bi, Xuelei; Pfrommer, Julius; Cebulla, Alexander; Mangold, Simon; Beyerer, Jürgen
Konferenzbeitrag
Conference Paper
2023 Dynamische Wertschöpfungsnetzwerke basierend auf Industrie 4.0-Technologien zur nachhaltigen Sicherheits- und Betriebsoptimierung von Wassersystemen
Bernard, Thomas; Ziebarth, Mathias; Gonuguntla, Naga Mamatha; Wessels, Lars; Wiese, Susanne; Keifenheim, Heiko; Canzler, Armin; Deuerlein, Jochen; Parra, Salomé; Rapp, Joachim; Glaser, Holger; Broecker, Tabea; Sperlich, Alexander; Gnirß, Regina
Bericht
Report
2023 Reduce the Handicap: Performance Estimation for AI Systems Safety Certification
Pfrommer, Julius; Poyer, Matthieu; Kiroriwal, Saksham
Konferenzbeitrag
Conference Paper
2023 Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
Rueden, Laura von; Mayer, Sebastian; Beckh, Katharina; Georgiev, Bogdan; Giesselbach, Sven; Heese, Raoul; Kirsch, Birgit; Walczak, Michal; Pfrommer, Julius; Pick, Annika; Ramamurthy, Rajkumar; Garcke, Jochen; Bauckhage, Christian; Schuecker, Jannis
Zeitschriftenaufsatz
Journal Article
2023 Constraint-based Causal Discovery by using Path Constraints gained from Signal Injection and Recovery
Rehak, Josephine
Konferenzbeitrag
Conference Paper
2023 Multi-target regression and cross-validation for non-isothermal glass molding experiments with small sample sizes
Mende, Hendrik; Kiroriwal, Saksham; Pfrommer, Julius; Schmitt, Robert H.; Beyerer, Jürgen
Konferenzbeitrag
Conference Paper
2023 SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-Task Learning
Wu, Chengzhi; Qiu, Linxi; Zhou, Kanran; Pfrommer, Julius; Beyerer, Jürgen
Konferenzbeitrag
Conference Paper
2023 Vor-Ort-Systeme als flexibler Baustein im Energiesystem
Flemming, Sebastian; Bender, Tom; Surmann, Arne; Pelka, Sabine; Martin, Arne; Kühnbach, Matthias
Studie
Study
2023 Attention-based Part Assembly for 3D Volumetric Shape Modeling
Wu, Chengzhi; Zheng, Junwei; Pfrommer, Julius; Beyerer, Jürgen
Konferenzbeitrag
Conference Paper
2023 Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach
Wu, Chengzhi; Pfrommer, Julius; Zhou, Mingyuan; Beyerer, Jürgen
Zeitschriftenaufsatz
Journal Article
2023 Attention-based Point Cloud Edge Sampling
Wu, Chengzhi; Zheng, Junwei; Pfrommer, Julius; Beyerer, Jürgen
Paper
2023 Counterfactual Root Cause Analysis via Anomaly Detection and Causal Graphs
Rehak, Josephine; Sommer, Anouk; Becker, Maximilian; Pfrommer, Julius; Beyerer, Jürgen
Konferenzbeitrag
Conference Paper
2022 Entwicklung einer autonomen Elektrodenbeschichtung
Denk, Florian; Hoffmann, Alex; Höger, Katja; Pfrommer, Julius; Poyer, Matthieu; Scharfer, Philip; Spiegel, Sandro; Fleischer, Jürgen; Lanza, Giesela; Schabel, Wilhelm
Zeitschriftenaufsatz
Journal Article
2022 PFDL: A Production Flow Description Language for an Order-Controlled Production
Detzner, Peter; Ebner, Andreas; Hörstrup, Maximilian; Kerner, Sören
Konferenzbeitrag
Conference Paper
2022 SWAP-IT: A Scalable and Lightweight Industry 4.0 Architecture for Cyber-Physical Production Systems
Lünsch, Dennis; Detzner, Peter; Ebner, Andreas; Kerner, Sören
Konferenzbeitrag
Conference Paper
2022 An ontology for remanufacturing systems
Pfrommer, Julius; Klein, Jan-Felix; Wurster, Marco; Rapp, Simon; Grauberger, Patric; Lanza, Gisela; Albers, Albert; Matthiesen, Sven; Beyerer, Jürgen
Zeitschriftenaufsatz
Journal Article
2022 PAISE® - process model for AI systems engineering
Hasterok, Constanze; Stompe, Janina
Zeitschriftenaufsatz
Journal Article
2022 KI-Engineering - AI Systems Engineering
Pfrommer, Julius; Usländer, Thomas; Beyerer, Jürgen
Zeitschriftenaufsatz
Journal Article
2022 Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage
Lanza, Gisela; Asfour, Tamim; Beyerer, Jürgen; Deml, Barbara; Fleischer, Jürgen; Heizmann, Michael; Furmans, Kai; Hofmann, Constantin; Cebulla, Alexander; Dreher, Christian; Kaiser, Jan-Philipp; Klein, Jan-Felix; Leven, Fabian; Mangold, Simon; Mitschke, Norbert; Stricker, Nicole; Pfrommer, Julius; Wu, Chengzhi; Wurster, Marco; Zaremski, Manuel
Zeitschriftenaufsatz
Journal Article
2022 MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors
Wu, Chengzhi; Zhou, Kanran; Kaiser, Jan-Philipp; Mitschke, Norbert; Klein, Jan-Felix; Pfrommer, Julius; Beyerer, Jürgen; Lanza, Gisela; Heizmann, Michael; Furmans, Kai
Zeitschriftenaufsatz
Journal Article
2022 AI Systems Engineering - systematic development and operation of AI-based systems
Beyerer, Jürgen; Pfrommer, Julius; Usländer, Thomas
Editorial
2022 A Review on Approaches for Causal Structure Identification
Rehak, Josephine
Konferenzbeitrag
Conference Paper
2021 A Proposal on Discovering Causal Structures in Technical Systems by Means of Interventions
Rehak, Josephine
Konferenzbeitrag
Conference Paper
2021 Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods
Zimmering, Bernd; Niggemann, Oliver; Hasterok, Constanze; Pfannstiel, Erik; Ramming, Dario; Pfrommer, Julius
Zeitschriftenaufsatz
Journal Article
2021 Microgrid Systems: Towards a Technical Performance Assessment Frame
Marchand, Sophie; Monsalve, Cristian; Reimann, Thorsten; Heckmann, Wolfram; Ungerland, Jakob; Lauer, Hagen; Ruhe, Stephan; Krauß, Christoph
Zeitschriftenaufsatz
Journal Article
2021 Eigenständige Überwachung der Modellvalidität
Hasterok, Constanze; Hamman, Gerhard; Fleischer, Jürgen
Zeitschriftenaufsatz
Journal Article
2020 Open-Source Implementierung von OPC UA PubSub für echtzeitfähige Kommunikation mit Time-Sensitive Networking
Pfrommer, Julius; Usländer, Thomas
Konferenzbeitrag
Conference Paper
2020 ML4P - Ein Standard-Vorgehensmodell für die Anwendung Maschinellen Lernens in der industriellen Produktion
Pfrommer, Julius; Frey, Christian; Wessels, Lars; Beyerer, Jürgen
Konferenzbeitrag
Conference Paper
2020 Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
Wu, Chengzhi; Pfrommer, Julius; Beyerer, Jürgen; Li, Kangning; Neubert, Boris
Konferenzbeitrag
Conference Paper
2019 Informed Machine Learning - A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Rüden, Laura von; Mayer, Sebastian; Beckh, Katharina; Georgiev, Bogdan; Giesselbach, Sven; Heese, Raoul; Kirsch, Birgit; Pfrommer, Julius; Pick, Annika; Ramamurthy, Rajkumar; Schuecker, Jannis; Garcke, Jochen; Bauckhage, Christian; Walczak, Michal
Paper
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

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