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Lehrstuhl für Technologien und Management der Digitalen Transformation


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

Publikationen

Referenzen

2020

Tobias Meisen; André Pomp; Max Hoffmann
Industrial Big Data: Modernes Informationsmanagement in der Produktion
Steven, Marion and Klünder, Timo, Autoren, Big Data: Anwendung und Nutzungspotenziale in der Produktion aus Moderne Produktion
Herausgeber: Verlag W. Kohlhammer, Stuttgart
2020
ISBN: 3170364766
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
Seite 14--15.
2020
Christian Scheiderer; Nik Dorndorf; Tobias Meisen
Effects of Domain Randomization on Simulation-to-Reality Transfer of Reinforcement Learning Policies for Industrial Robots
International Conference on Artificial Intelligence 2020 (to be published)
2020

Schlüsselwörter: transfer-learning

Christian Scheiderer; Malte Mosbach; Andres Posada-Moreno; Tobias Meisen
Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks
International Conference on Computational Science and Computational Intelligence (accepted, to be published)
2020

Schlüsselwörter: transfer-learning

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) , Seite 33--36.
Herausgeber: IEEE,
2020
ISBN: 978-1-7281-7463-1
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 , Seite 38--43.
Herausgeber: SciTePress,
2020
ISBN: 978-989-758-418-3

Schlüsselwörter: user-acceptance

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

Bemerkung: 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, Autoren, Enterprise Information Systems aus Lecture Notes in Business Information Processing Ser , Seite 361--385.
Herausgeber: Springer International Publishing AG, Cham
2020
ISBN: 978-3-030-40783-4

Schlüsselwörter: semantic-data

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

Schlüsselwörter: applied-ai

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

Schlüsselwörter: transparency

Richard Meyes; Hasan Tercan; Tobias Meisen
Artificial Intelligence in Automotive Production
Mobility in a Globalised World 2018, 22:308--324
2019

Schlüsselwörter: applied-ai;sensory-data

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

Schlüsselwörter: transparency

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

Schlüsselwörter: sensory-data

Christian Kohlschein; Cornelius J. Werner; Tobias Meisen
Der Informationsmanagementzyklus im Gesundheitswesen
Gesundheit digital, :67--82
2019
Matthias Hansen; André Pomp; Kemal Erki; Tobias Meisen
Data-Driven Recognition and Extraction of PDF Document Elements
Technologies, 7(3):65
2019
ISSN: 2227-7080

Schlüsselwörter: nlp

Gesa Horn; Christoph Klanten; Swetlana Mamonova; Kathrin Schönefeld; Leonard Simons; Lisa Seidel; Jérome Uelpenich
Forecasting Aachen 2030 -- Urbane Produktion in der Zukunftsstadt
MIA Expertisen,
2019
Gesa Horn; Kathrin Schönefeld
Interne und externe Kommunikation interdisziplinärer Forschungsprojekte - ein Erfahrungsbericht
MIA Expertisen,
2019
Andrei Ionita; André Pomp; Michael Cochez; Tobias Meisen; Stefan Decker
Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces
International Journal on Artificial Intelligence Tools, 28(06):1960003
2019
ISSN: 0218-2130
Max C. Haberstroh; Julia Sauer; André Pomp; Andreas Kirmse; Tobias Meisen; Frank Hees; Sabina Jeschke
Method to Create a VR Event by Evaluating Third Party Information and Re-Providing the Processed Information in Real-Time
(United States Patent Application 20190213423)
2019

Bemerkung: Patent

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