Publikationen von Wissenschaftlern aus BIT und IZMD
2021
Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features Konferenzbeitrag
In: Proceedings of the 13th International Conference on Agents and Artificial Intelligence, S. 522–530, SCITEPRESS - Science and Technology Publications, 2021, ISBN: 978-989-758-484-8.
Global Reward Design for Cooperative Agents to Achieve Flexible Production Control under Real-time Constraints Konferenzbeitrag
In: Proceedings of the 23rd International Conference on Enterprise Information Systems, S. 515–526, SCITEPRESS - Science and Technology Publications, 2021, ISBN: 978-989-758-509-8.
PLASMA: Platform for Auxiliary Semantic Modeling Approaches Konferenzbeitrag
In: Proceedings of the 23rd International Conference on Enterprise Information Systems, S. 403–412, SCITEPRESS - Science and Technology Publications, 2021, ISBN: 978-989-758-509-8.
Recent Advances and Future Challenges of Semantic Modeling Konferenzbeitrag
In: 2021 IEEE 15th International Conference on Semantic Computing (ICSC), S. 70–75, IEEE, 2021, ISBN: 978-1-7281-8899-7.
Computing Representations using Hypervolume Scalarizations Artikel
In: Computer and Operations Research, 2021.
Visual Analytics for Industrial Sensor Data Analysis Konferenzbeitrag
In: Proceedings of the 23rd International Conference on Enterprise Information Systems, S. 584–593, SCITEPRESS - Science and Technology Publications, 2021, ISBN: 978-989-758-509-8.
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis Artikel
In: Information, Bd. 12, Nr. 4, S. 140, 2021.
Synergiepotenziale von Virtual City Twins im Bereich automatisiertes Fahren -- Beschleunigung der technischen Entwicklung und Überwindung von Akzeptanzbarrieren Buchkapitel mit eigenem Titel
In: Proff, Heike (Hrsg.): Making Connected Mobility Work, Bd. 119, S. 113–133, Springer Fachmedien Wiesbaden, Wiesbaden, 2021, ISBN: 978-3-658-32265-6.
YOdar: Uncertainty-based sensor fusion for vehicle detection with camera and radar sensors Konferenzbeitrag
In: ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence, S. 177–186, INSTICC SciTePress, 2021, ISBN: 9789897584848.
Heatmap Representation of Elongated Structures Artikel
In: submitted to IEEE Pattern Analysis and Machine Intelligence, 2021.
Comparison of different spike detection methods in Hall-Héroult cells Buchkapitel mit eigenem Titel
In: GmbH, VDI Wissensforum (Hrsg.): Automation 2021, S. 763-XVIII, 2021.
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis Sonstige
2021.
Erzeugung von synthetischen Seitensichtsonar-Bildern mittels Generative Adversarial Networks Artikel
In: Hydrographische Nachrichten, Nr. 119, S. 30–34, 2021, ISSN: 1866-9204.
In: Journal of Marine Science and Engineering, Bd. 9, Nr. 3, S. 239, 2021.
A study on modern deep learning detection algorithms for automatic target recognition in sidescan sonar images Artikel
In: Proceedings of Meetings on Acoustics, Nr. 44, 2021.
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Artikel
In: CoRR, Bd. abs/2104.14235, 2021.
In: Optimization and Engineering, 2021.
Discovering Heuristics And Metaheuristics For Job Shop Scheduling From Scratch Via Deep Reinforcement Learning Buchkapitel mit eigenem Titel
In: Proceedings of the 2nd Conference on Production Systems and Logistics (CPSL~2021), 2021.
Study on the Influence of Multiple Image Inputs of a Multi-View Fusion Neural Network Based on Grad-CAM and Masked Image Inputs Konferenzbeitrag
In: 2020 28th European Signal Processing Conference (EUSIPCO), S. 1427–1431, 2021.
In: Journal of Intelligent Manufacturing, 2021, ISSN: 0956-5515.
Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application Konferenzbeitrag
In: Proceedings of the 23rd International Conference on Enterprise Information Systems, S. 610–617, SCITEPRESS - Science and Technology Publications, 2021, ISBN: 978-989-758-509-8.
Gradient boosting-based numerical methods for high-dimensional backward stochastic differential equations Sonstige
2021.
Manufacturing Control in Job Shop Environments with Reinforcement Learning Konferenzbeitrag
In: Proceedings of the 13th International Conference on Agents and Artificial Intelligence, S. 589–597, SCITEPRESS - Science and Technology Publications, 2021, ISBN: 978-989-758-484-8.
Determining Cost-Efficient Controls of Electrical Energy Storages Using Dynamic Programming Artikel
In: submitted to Electric Power Systems Research, 2021.
Improving video instance segmentation by light-weight temporal uncertainty estimates Konferenzbeitrag
In: 2021 International Joint Conference on Neural Networks (IJCNN), S. 1–8, 2021.
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates Artikel
In: arXiv preprint arXiv:2106.14474, 2021.
Fault Detection in Railway Switches using Deformable Convolutional Neural Networks Konferenzbeitrag
In: 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), S. 1–6, IEEE, 2021, ISBN: 978-1-7281-4395-8.
Fault Detection in Railway Switches using Deformable Convolutional Neural Networks Konferenzbeitrag
In: 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), S. 1–6, IEEE, 2021, ISBN: 978-1-7281-4395-8.
Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach Artikel
In: Computers and Operations Research, 2021.
Decision Space Robustness for Multiobjective Integer Linear Programming Artikel
In: Annals of Operations Research, 2021.
Projekt Ride-Hailing Wuppertal Buchkapitel mit eigenem Titel
In: Ehrhardt, Matthias; G, Michael (Hrsg.): Erfolgsformeln - Anwendungen der Mathematik, 2021.
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Artikel
In: CoRR, Bd. abs/2104.14812, 2021.
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks Konferenzbeitrag
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, S. 12–20, 2021.
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors Artikel
In: arXiv preprint arXiv:2107.04517, 2021.
Detection of Defects on Printed Circuit Boards Using Instance Segmentation Konferenzbeitrag
In: Castanier, Bruno; Cepin, Marko; Bigaud, David; Berenguer, Christophe (Hrsg.): Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021), S. 1047–1053, Research Publishing Services, Singapore, 2021, ISBN: 978-981-18-2016-8.
Effects of Domain Randomization on Simulation-to-Reality Transfer of Reinforcement Learning Policies for Industrial Robots Buchkapitel mit eigenem Titel
In: Arabnia, Hamid R.; Ferens, Ken; Fuente, David La; Kozerenko, Elena B.; Varela, José Angel Olivas; Tinetti, Fernando G. (Hrsg.): Advances in Artificial Intelligence and Applied Cognitive Computing, S. 157–169, Springer International Publishing and Imprint Springer, Cham, 2021, ISBN: 978-3-030-70295-3.
Multi-objective Matroid Optimization with Ordinal Weights Artikel
In: math.OC, Bd. arXiv:2109.13804, 2021.
MetaBox+: A new region based active learning method for semantic segmentation using priority maps Konferenzbeitrag
In: ICPRAM 2021 - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, S. 51–62, SciTePress, 2021, ISBN: 9789897584862.
Mean-field optimal control and optimality conditions in the space of probability measures Artikel
In: SIAM Journal of Control and Optimization, Bd. 59, Nr. 2, S. 977–1006, 2021.
Mean-field optimal control for biological pattern formation Artikel
In: ESAIM COCV, Bd. 27, Nr. 40, 2021.
Event-based MILP models for ride-hailing applications Artikel
In: arXiv e-prints, 2021.
Spontaneous wave formation in stochastic self-driven particle systems Artikel
In: SIAM Journal on Applied Mathematics, Bd. 81, Nr. 3, S. 853–870, 2021.
Background-Foreground Segmentation for Interior Sensing in Automotive Industry Artikel
In: arXiv preprint arXiv:2109.09410, 2021.
Tracing Locally Pareto-Optimal Points by Numerical Integration Artikel
In: SIAM Journal on Control and Optimization, Bd. 59, Nr. 5, S. 3302–3328, 2021.
GivEn---Shape Optimization for Gas Turbines in Volatile Energy Networks Buchkapitel mit eigenem Titel
In: Mathematical Modeling, Simulation and Optimization for Power Engineering and Management, S. 71–106, Springer, 2021.
Chvátal-Gomory cuts for the Steiner tree problem Artikel
In: Discrete Applied Mathematics, Bd. 291, S. 188–200, 2021.
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails Konferenzbeitrag
In: 2021 4th International Conference on Artificial Intelligence for Industries (AI4I), S. 25–29, IEEE, 2021, ISBN: 978-1-6654-3410-2.
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails Konferenzbeitrag
In: 2021 4th International Conference on Artificial Intelligence for Industries (AI4I), S. 25–29, IEEE, 2021, ISBN: 978-1-6654-3410-2.
Inspect, understand, overcome: A survey of practical methods for ai safety Artikel
In: arXiv preprint arXiv:2104.14235, 2021.
Does Redundancy in AI Perception Systems Help to Test for Super-Human Automated Driving Performance? Artikel
In: arXiv preprint arXiv:2112.04758, 2021.