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Chair for Technologies and Management of Digital Transformation


Univ. Prof. Dr. Ing. Tobias Meisen

Publications

References

2020

Richard Meyes; Moritz Schneider; Tobias Meisen
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
2020

Keywords: research-interpretable-learning

Andreas Burgdorf; André Pomp; Tobias Meisen
Towards NLP-supported Semantic Data Management
arXiv preprint arXiv:2005.06916,
2020
André Pomp
Bottom-up Knowledge Graph-based Data Management
of Berichte aus dem Maschinenbau
Publisher: Shaker, Düren
1. Auflage edition
2020
ISBN: 9783844075311
André Pomp; Alexander Paulus; Andreas Burgdorf; Tobias Meisen
Verbesserung der Nutzbarkeit von Open Data auf Basis eines semantischen Datenmarktplatzes
OKNRW - ONLINE BARCAMP 2020 Science-Track
page 14--15.
2020
Tobias Meisen; André Pomp; Max Hoffmann
Industrial Big Data: Modernes Informationsmanagement in der Produktion
Steven, Marion and Klünder, Timo, editor, Big Data: Anwendung und Nutzungspotenziale in der Produktion of Moderne Produktion
Publisher: Verlag W. Kohlhammer, Stuttgart
2020
ISBN: 3170364766
Frank Hees; Gesa Horn; Kathrin Schönefeld
Integration von Produktion in den urbanen Raum
Nachhaltige Stadt of Jahrbuch / B.A.U.M. e.V
Publisher: ALTOP Verlags- und Vertriebsgesellschaft für umweltfreundliche Produkte mbH, München
2020
ISBN: 3925646728
Aymen Gannouni; Vladimir Samsonov; Mohamed Behery; Tobias Meisen; Gerhard Lakemeyer
Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste
IEEE International Conference on Systems, Man, and Cybernetics (SMC)
2020
Schirin Baer; Punit Kumar Mohanty; Danielle Chelsea Turner; Tobias Meisen
Multi Agent Deep Q-Network Approach for Online Job Shop Scheduling in Flexible Manufacturing
International Conference on Manufacturing Systems and Multiple Machies (ICMSMM 2020)
2020

Keywords: research-industrial-deep-learning

Schirin Baer; Danielle Chelsea Turner; Punit Kumar Mohanty; Vladimir Samsonov; Jupiter Romuald Bakekeu; Tobias Meisen
Multi Agent Deep Q-Network Approach for Online Job Shop Scheduling in Flexible Manufacturing
Proceedings of the 7th International Conference on Industrial Engineering and Applications (ICIEA)
2020

Keywords: research-industrial-deep-learning

Yannik Steiniger; Jannis Stoppe; Tobias Meisen; Dieter Kraus
Dealing With Highly Unbalanced Sidescan Sonar Image Datasets for Deep Learning Classification Tasks
Global Oceans 2020: Singapore -- U.S. Gulf Coast , page 1--7.
Publisher: IEEE,
2020
ISBN: 978-1-7281-5446-6
Christian Scheiderer; Malte Mosbach; Andres Felipe Posada-Moreno; Tobias Meisen
Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks
2020 International Conference on Computational Science and Computational Intelligence (CSCI) , page 504--509.
Publisher: IEEE,
2020
ISBN: 978-1-7281-7624-6

Keywords: research-industrial-deep-learning

Thomas Otte; Aymen Gannouni; Tobias Meisen
The future of urban freight transport: A data-driven consolidation approach to accompany cities on their path to zero redundancy in freight movement
27th ITS World Congress via 1st Virtual ITS European Congress
2020

Note: 11

André Pomp; Vadim Kraus; Lucian Poth; Tobias Meisen
Semantic Concept Recommendation for Continuously Evolving Knowledge Graphs
Filipe, Joaquim and Śmia\lek, Micha\l and Brodsky, Alexander and Hammoudi, Slimane, editor, Enterprise Information Systems of Lecture Notes in Business Information Processing Ser , page 361--385.
Publisher: Springer International Publishing AG, Cham
2020
ISBN: 978-3-030-40783-4

Keywords: research-semantic-systems

Gesa Horn; Kathrin Schönefeld
AI for Future Mobility: What Amount of Willingness to Change Does a Society Need?
Proceedings of the 9th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS , page 38--43.
Publisher: SciTePress,
2020
ISBN: 978-989-758-418-3

Keywords: research-user-acceptance

Martin Bellgardt; Christian Scheiderer; Torsten W. Kuhlen
An Immersive Node-Link Visualization of Artificial Neural Networks for Machine Learning Experts
2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) , page 33--36.
Publisher: IEEE,
2020
ISBN: 978-1-7281-7463-1

2019

Kathrin Schönefeld; Silke Frye; Tobias Haertel; Freya Willicks; Frank Hees
Interkulturelle und sozial verantwortliche Technikbildung-Die Ingenieure ohne Grenzen Challenge
Journal of Technical Education (JOTED), 7(1)
2019
Christian Scheiderer; Timo Thun; Tobias Meisen
Bézier Curve Based Continuous and Smooth Motion Planning for Self-Learning Industrial Robots
Procedia Manufacturing, 38:423--430
2019
ISSN: 2351-9789

Keywords: research-industrial-deep-learning

Richard Meyes; Johanna Donauer; Andre Schmeing; Tobias Meisen
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
Procedia Manufacturing, 34:789--797
2019
ISSN: 2351-9789

Keywords: research-interpretable-learning

Richard Meyes; Melanie Lu; Constantin Waubert de Puiseau; Tobias Meisen
Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644,
2019

Keywords: research-interpretable-learning

Richard Meyes; Melanie Lu; Constantin Waubert de Puiseau; Tobias Meisen
Ablation Studies to Uncover Structure of Learned Representations in Artificial Neural Networks
Proceedings of the 2019 International Conference on Artificial Intelligence (ICAI),
2019

Keywords: research-interpretable-learning

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