| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Botache, D., Decke, J., Ripken, W., Dornipati, A., Götz-Hahn, F., Ayeb, M. & Sick, B. | Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation | 2024 | arXiv e-prints | article | URL |
| Decke, J., Jenß, A., Sick, B. & Gruhl, C. | An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing | 2024 | International Conference on Architecture of Computing Systems (ARCS) | inproceedings | |
| Decke, J., Wünsch, O., Sick, B. & Gruhl, C. | From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs | 2024 | International Conference on Architecture of Computing Systems (ARCS) | inproceedings | |
| Heidecker, F., El-Khateeb, A., Bieshaar, M. & Sick, B. | Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation | 2024 | arXiv e-prints | article | URL |
| Magnussen, B. M., Möckel, F., Jessulat, M., Stern, C. & Sick, B. | Optical Detection of the Body Mass Index and Related Parameters Using Multiple Spatially Resolved Reflection Spectroscopy | 2024 | International Conference on Bioinformatics and Computational Biology (ICBCB) | inproceedings | |
| Aßenmacher, M., Rauch, L., Goschenhofer, J., Stephan, A., Bischl, B., Roth, B. & Sick, B. | Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering | 2023 | Workshop on Interactive Adapative Learning (IAL), ECML PKDD | inproceedings | URL |
| Breitenstein, J., Heidecker, F., Lyssenko, M., Bogdoll, D., Bieshaar, M., Zöllner, J. M., Sick, B. & Fingscheidt, T. | What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving | 2023 | Workshop on roBustness and Reliability of Autonomous Vehicles in the Open-world (BRAVO), ICCV | inproceedings | URL |
| Decke, J., Gruhl, C., Rauch, L. & Sick, B. | DADO – Low-Cost Query Strategies for Deep Active Design Optimization | 2023 | International Conference on Machine Learning and Applications (ICMLA) | inproceedings | DOI |
| Deinzer, R., Eidenhardt, Z., Sohrabi, K., Stenger, M., Kraft, D., Sick, B., Götz-Hahn, F., Bottenbruch, C., Berneburg, N. & Weik, U. | It is the habit not the handle that affects tooth brushing. Results of a randomised counterbalanced cross over study | 2023 | Research Square | article | DOIURL |
| Heidecker, F., Susetzky, T., Fuchs, E. & Sick, B. | Context Information for Corner Case Detection in Highly Automated Driving | 2023 | IEEE International Conference on Intelligent Transportation Systems (ITSC) | inproceedings | DOI |
| Heidecker, F., Bieshaar, M. & Sick, B. | Corner Cases in Machine Learning Processes | 2023 | AI Perspectives & Advances | article | DOIURL |
| Huang, Z., He, Y. & Sick, B. | Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction | 2023 | Computational Science and Computational Intelligence (CSCI) | inproceedings | |
| Magnussen, B. M., Stern, C. & Sick, B. | Continuous Feature Networks: A Novel Method to Process Irregularly and Inconsistently Sampled Data With Position-Dependent Features | 2023 | International Journal On Advances in Intelligent Systems | article | URL |
| Magnussen, B. M., Stern, C. & Sick, B. | Leveraging Repeated Unlabelled Noisy Measurements to Augment Supervised Learning | 2023 | International Conference on Computational Intelligence and Intelligent Systems (CIIS) | inproceedings | DOIURL |
| Nivarthi, C. P., Vogt, S. & Sick, B. | Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions | 2023 | Machine Learning and Knowledge Extraction (MAKE) | article | DOIURL |
| Nivarthi, C. P. & Sick, B. | Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding | 2023 | International Conference on Machine Learning and Applications (ICMLA) | inproceedings | DOI |
| Schreck, S., Reichert, H., Hetzel, M., Doll, K. & Sick, B. | Height Change Feature Based Free Space Detection | 2023 | International Conference on Control, Mechatronics and Automation (ICCMA) | inproceedings | DOI |
| Schreiber, J. & Sick, B. | Model selection, adaptation, and combination for transfer learning in wind and photovoltaic power forecasts | 2023 | Energy and AI | article | DOIURL |
| Loeser, I., Braun, M., Gruhl, C., Menke, J.-H., Sick, B. & Tomforde, S. | The Vision of Self-Management in Cognitive Organic Power Distribution Systems | 2022 | Energies | article | DOIURL |
| Pham, T., Kottke, D., Krempl, G. & Sick, B. | Stream-based active learning for sliding windows under the influence of verification latency | 2022 | Machine Learning | article | DOI |
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