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 1 (2023), 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 3&4 (2023), 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 3 (2023), 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 3 (2022), 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 6 (2022), S. 2011--2036.