Publikationen der Abteilung Kognitive Industrielle Systeme (KIS)

Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
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 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 Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
Wu, Chengzhi; Pfrommer, Julius; Beyerer, Jürgen; Li, Kangning; Neubert, Boris
Paper
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
2023 Vor-Ort-Systeme als flexibler Baustein im Energiesystem
Flemming, Sebastian; Bender, Tom; Surmann, Arne; Pelka, Sabine; Martin, Arne; Kühnbach, Matthias
Studie
Study
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 Constraint-based Causal Discovery by using Path Constraints gained from Signal Injection and Recovery
Rehak, Josephine
Konferenzbeitrag
Conference Paper
2023 Attention-Based Point Cloud Edge Sampling
Wu, Chengzhi; Zheng, Junwei; Pfrommer, Julius; Beyerer, Jürgen
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 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 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 Reduce the Handicap: Performance Estimation for AI Systems Safety Certification
Pfrommer, Julius; Poyer, Matthieu; Kiroriwal, Saksham
Konferenzbeitrag
Conference Paper
2022 A Review on Approaches for Causal Structure Identification
Rehak, Josephine
Konferenzbeitrag
Conference Paper
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 KI-Engineering - AI Systems Engineering
Pfrommer, Julius; Usländer, Thomas; Beyerer, Jürgen
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 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 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 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 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 AI Systems Engineering - systematic development and operation of AI-based systems
Beyerer, Jürgen; Pfrommer, Julius; Usländer, Thomas
Editorial
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 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 A Proposal on Discovering Causal Structures in Technical Systems by Means of Interventions
Rehak, Josephine
Konferenzbeitrag
Conference Paper
2021 Eigenständige Überwachung der Modellvalidität
Hasterok, Constanze; Hamman, Gerhard; Fleischer, Jürgen
Zeitschriftenaufsatz
Journal Article
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 Open-Source Implementierung von OPC UA PubSub für echtzeitfähige Kommunikation mit Time-Sensitive Networking
Pfrommer, Julius; Usländer, Thomas
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
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