Botache, Diego ; Decke, Jens ; Ripken, Winfried ; Dornipati, Abhinay ; Götz-Hahn, Franz ; Ayeb, Mohamed ; Sick, Bernhard: Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation. In: arXiv e-prints (2024), S. arXiv:2309.13179v2

Decke, Jens ; Jenß, Arne ; Sick, Bernhard ; Gruhl, Christian: An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. In: International Conference on Architecture of Computing Systems (ARCS) : Springer, 2024. - (accepted)

Decke, Jens ; Wünsch, Olaf ; Sick, Bernhard ; Gruhl, Christian: From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs. In: International Conference on Architecture of Computing Systems (ARCS) : Springer, 2024. - (accepted)

Heidecker, Florian ; El-Khateeb, Ahmad ; Bieshaar, Maarten ; Sick, Bernhard: Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation. In: arXiv e-prints (2024), S. arXiv:2404.11266

Magnussen, Birk Martin ; Möckel, Frank ; Jessulat, Maik ; Stern, Claudius ; Sick, Bernhard: Optical Detection of the Body Mass Index and Related Parameters Using Multiple Spatially Resolved Reflection Spectroscopy. In: International Conference on Bioinformatics and Computational Biology (ICBCB) : IEEE, 2024. - (accepted)

Aßenmacher, Matthias ; Rauch, Lukas ; Goschenhofer, Jann ; Stephan, Andreas ; Bischl, Bernd ; Roth, Benjamin ; Sick, Bernhard: Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. In: Workshop on Interactive Adapative Learning (IAL), ECML PKDD, 2023, S. 65--73

Breitenstein, Jasmin ; Heidecker, Florian ; Lyssenko, Maria ; Bogdoll, Daniel ; Bieshaar, Maarten ; Zöllner, J. Marius ; Sick, Bernhard ; Fingscheidt, Tim: What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. In: Workshop on roBustness and Reliability of Autonomous Vehicles in the Open-world (BRAVO), ICCV, 2023, S. 3991--4000

Decke, Jens ; Gruhl, Christian ; Rauch, Lukas ; Sick, Bernhard: DADO – Low-Cost Query Strategies for Deep Active Design Optimization. In: International Conference on Machine Learning and Applications (ICMLA) : IEEE, 2023, S. 1611--1618

Deinzer, Renate ; Eidenhardt, Zdenka ; Sohrabi, Keywan ; Stenger, Manuel ; Kraft, Dominik ; Sick, Bernhard ; Götz-Hahn, Franz ; Bottenbruch, Carlotta ; Berneburg, Nils ; Weik, Ulrike: It is the habit not the handle that affects tooth brushing. Results of a randomised counterbalanced cross over study. In: Research Square (2023)

Heidecker, Florian ; Susetzky, Tobias ; Fuchs, Erich ; Sick, Bernhard: Context Information for Corner Case Detection in Highly Automated Driving. In: IEEE International Conference on Intelligent Transportation Systems (ITSC) : IEEE, 2023, S. 1522--1529

Heidecker, Florian ; Bieshaar, Maarten ; Sick, Bernhard: Corner Cases in Machine Learning Processes. In: AI Perspectives & Advances, 6 (2023), Nr. 1, S. 1--17

Huang, Zhixin ; He, Yujiang ; Sick, Bernhard: Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction. In: Computational Science and Computational Intelligence (CSCI) : IEEE, 2023. - (accepted)

Magnussen, Birk Martin ; Stern, Claudius ; Sick, Bernhard: Continuous Feature Networks: A Novel Method to Process Irregularly and Inconsistently Sampled Data With Position-Dependent Features. In: International Journal On Advances in Intelligent Systems, 16 (2023), Nr. 3&4, S. 43--50

Magnussen, Birk Martin ; Stern, Claudius ; Sick, Bernhard: Leveraging Repeated Unlabelled Noisy Measurements to Augment Supervised Learning. In: International Conference on Computational Intelligence and Intelligent Systems (CIIS) : ACM, 2023, S. 1--6

Nivarthi, Chandana Priya ; Vogt, Stephan ; Sick, Bernhard: Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions. In: Machine Learning and Knowledge Extraction (MAKE), 5 (2023), Nr. 3, S. 1214--1233

Nivarthi, Chandana Priya ; Sick, Bernhard: Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding. In: International Conference on Machine Learning and Applications (ICMLA) : IEEE, 2023, S. 1444--1450

Schreck, Steven ; Reichert, Hannes ; Hetzel, Manuel ; Doll, Konrad ; Sick, Bernhard: Height Change Feature Based Free Space Detection. In: International Conference on Control, Mechatronics and Automation (ICCMA) : IEEE, 2023, S. 171--176

Schreiber, Jens ; Sick, Bernhard: Model selection, adaptation, and combination for transfer learning in wind and photovoltaic power forecasts. In: Energy and AI, 14 (2023), S. 100249

Loeser, Inga ; Braun, Martin ; Gruhl, Christian ; Menke, Jan-Hendrik ; Sick, Bernhard ; Tomforde, Sven: The Vision of Self-Management in Cognitive Organic Power Distribution Systems. In: Energies, 15 (2022), Nr. 3, S. 881

Pham, Tuan ; Kottke, Daniel ; Krempl, Georg ; Sick, Bernhard: Stream-based active learning for sliding windows under the influence of verification latency. In: Machine Learning, 111 (2022), Nr. 6, S. 2011--2036