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Lehrstuhl für Technologien und Management der Digitalen Transformation


Herr Univ.-Prof. Dr.-Ing. Tobias Meisen

Publikationen

Referenzen

2021

Hasan Tercan; Philipp Deibert; Tobias Meisen
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer
Journal of Intelligent Manufacturing,
2021
ISSN: 0956-5515

Schlüsselwörter: research-industrial-deep-learning

Yannik Steiniger; Johannes Groen; Jannis Stoppe; Dieter Kraus; Tobias Meisen
A study on modern deep learning detection algorithms for automatic target recognition in sidescan sonar images
Proceedings of Meetings on Acoustics, (44)
2021
Yannik Steiniger; Jannis Stoppe; Dieter Kraus; Tobias Meisen
Erzeugung von synthetischen Seitensichtsonar-Bildern mittels Generative Adversarial Networks
Hydrographische Nachrichten, (119):30--34
2021
ISSN: 1866-9204

Schlüsselwörter: research-industrial-deep-learning

Yannik Steiniger; Dieter Kraus; Tobias Meisen
Generating Synthetic Sidescan Sonar Snippets Using Transfer-Learning in Generative Adversarial Networks
Journal of Marine Science and Engineering, 9(3):239
2021
Tristan Langer; Tobias Meisen
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis
Information, 12(4):140
2021

Schlüsselwörter: research-interpretable-learning

Tilo van Ekeris; Richard Meyes; Tobias Meisen
Discovering Heuristics And Metaheuristics For Job Shop Scheduling From Scratch Via Deep Reinforcement Learning
Proceedings of the 2nd Conference on Production Systems and Logistics (CPSL~2021)
2021
Christian Scheiderer; Nik Dorndorf; Tobias Meisen
Effects of Domain Randomization on Simulation-to-Reality Transfer of Reinforcement Learning Policies for Industrial Robots
Arabnia, Hamid R. and Ferens, Ken and de La Fuente, David and Kozerenko, Elena B. and Olivas Varela, José Angel and Tinetti, Fernando G., Autoren, Advances in Artificial Intelligence and Applied Cognitive Computing aus Springer eBook Collection
Seite 157--169.
Herausgeber: Springer International Publishing and Imprint Springer, Cham
2021
ISBN: 978-3-030-70295-3

Schlüsselwörter: research-industrial-deep-learning

Anton Kummert; Tobias Meisen; Michael Krause; David Michalik; Per Kohl
Synergiepotenziale von Virtual City Twins im Bereich automatisiertes Fahren -- Beschleunigung der technischen Entwicklung und Überwindung von Akzeptanzbarrieren
Proff, Heike, Autoren, Making Connected Mobility Work Band 119
Seite 113--133.
Herausgeber: Springer Fachmedien Wiesbaden, Wiesbaden
2021
ISBN: 978-3-658-32265-6
Hasan Tercan; Christian Bitter; Todd Bodnar; Philipp Meisen; Tobias Meisen
Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application
Proceedings of the 23rd International Conference on Enterprise Information Systems , Seite 610--617.
Herausgeber: SCITEPRESS - Science and Technology Publications,
2021
ISBN: 978-989-758-509-8

Schlüsselwörter: research-industrial-deep-learning

Vladimir Samsonov; Marco Kemmerling; Maren Paegert; Daniel Lütticke; Frederick Sauermann; Andreas Gützlaff; Günther Schuh; Tobias Meisen
Manufacturing Control in Job Shop Environments with Reinforcement Learning
Proceedings of the 13th International Conference on Agents and Artificial Intelligence , Seite 589--597.
Herausgeber: SCITEPRESS - Science and Technology Publications,
2021
ISBN: 978-989-758-484-8
Sebastian Pol; Schirin Baer; Danielle Turner; Vladimir Samsonov; Tobias Meisen
Global Reward Design for Cooperative Agents to Achieve Flexible Production Control under Real-time Constraints
Proceedings of the 23rd International Conference on Enterprise Information Systems , Seite 515--526.
Herausgeber: SCITEPRESS - Science and Technology Publications,
2021
ISBN: 978-989-758-509-8
Alexander Paulus; Andreas Burgdorf; Lars Puleikis; Tristan Langer; André Pomp; Tobias Meisen
PLASMA: Platform for Auxiliary Semantic Modeling Approaches
Proceedings of the 23rd International Conference on Enterprise Information Systems , Seite 403--412.
Herausgeber: SCITEPRESS - Science and Technology Publications,
2021
ISBN: 978-989-758-509-8

Schlüsselwörter: research-semantic-systems

Alexander Paulus; Andreas Burgdorf; André Pomp; Tobias Meisen
Recent Advances and Future Challenges of Semantic Modeling
2021 IEEE 15th International Conference on Semantic Computing (ICSC) , Seite 70--75.
Herausgeber: IEEE,
2021
ISBN: 978-1-7281-8899-7

Schlüsselwörter: kgbdm;research-semantic-systems

Robert F. Maack; Hasan Tercan; Alexia F. Solvay; Maximilian Mieth; Tobias Meisen
Fault Detection in Railway Switches using Deformable Convolutional Neural Networks
2021 IEEE 19th International Conference on Industrial Informatics (INDIN) , Seite 1--6.
Herausgeber: IEEE,
2021
ISBN: 978-1-7281-4395-8

Schlüsselwörter: research-industrial-deep-learning

Tristan Langer; Tobias Meisen
Visual Analytics for Industrial Sensor Data Analysis
Proceedings of the 23rd International Conference on Enterprise Information Systems , Seite 584--593.
Herausgeber: SCITEPRESS - Science and Technology Publications,
2021
ISBN: 978-989-758-509-8

Schlüsselwörter: research-interpretable-learning

Christian Bitter; Hasan Tercan; Tobias Meisen; Todd Bodnar; Philipp Meisen
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I) , Seite 25--29.
Herausgeber: IEEE,
2021
ISBN: 978-1-6654-3410-2

Schlüsselwörter: research-industrial-deep-learning

Oliver Böhme; Tobias Meisen
Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features
Proceedings of the 13th International Conference on Agents and Artificial Intelligence , Seite 522--530.
Herausgeber: SCITEPRESS - Science and Technology Publications,
2021
ISBN: 978-989-758-484-8

2020

Christian Scheiderer; Timo Thun; Christian Idzik; Andrés Felipe Posada-Moreno; Alexander Krämer; Johannes Lohmar; Gerhard Hirt; Tobias Meisen
Simulation-as-a-Service for Reinforcement Learning Applications by Example of Heavy Plate Rolling Processes
Procedia Manufacturing, 51:897--903
2020
ISSN: 2351-9789

Schlüsselwörter: research-industrial-deep-learning

Fabian Scheidt; Jifei Ou; Hiroshi Ishii; Tobias Meisen
deepKnit: Learning-based Generation of Machine Knitting Code
Procedia Manufacturing, 51:485--492
2020
ISSN: 2351-9789

Schlüsselwörter: research-industrial-deep-learning

Richard Meyes; Constantin Waubert de Puiseau; Andres Posada-Moreno; Tobias Meisen
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations
2020

Schlüsselwörter: research-interpretable-learning

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