| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Beddar-Wiesing, S., D'Inverno, A., Graziani, C., Lachi, V., Moallemy-Oureh, A., Scarselli, F. & Thomas, J. | Weisfeiler–Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs | 2024 | Neural Networks | article | DOIURL |
| 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 | |
| Organic Computing -- Doctoral Dissertation Colloquium 2023 | 2024 | Tomforde, S. & Krupitzer, C. (ed.) |
book | DOI | |
| Botache, D. | Machine Learning Supported Optimisation and Experimental Evaluation of Electrical Motors for Small Urban Passenger Vehicles | 2023 | Organic Computing -- Doctoral Dissertation Colloquium 2023 Tomforde, S. & Krupitzer, C. (ed.) |
incollection | |
| Decke, J. | An Examination of Organic Computing Strategies in Design Optimization | 2023 | Organic Computing -- Doctoral Dissertation Colloquium 2023 Tomforde, S. & Krupitzer, C. (ed.) |
incollection | |
| 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 |
| 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 |
| 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 | |
| Lachi, V., Moallemy-Oureh, A., Roth, A. & Welke, P. | Graph Pooling Provably Improves Expressivity | 2023 | Workshop on New Frontiers in Graph Learning, NeurIPS | inproceedings | 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 |
| Moallemy-Oureh, A., Beddar-Wiesing, S., Nather, R. & Thomas, J. | Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network | 2023 | Workshop on Temporal Graph Learning (TGL), NeurIPS | inproceedings | URL |
| 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 |
| Organic Computing -- Doctoral Dissertation Colloquium 2022 | 2023 | Tomforde, S. & Krupitzer, C. (ed.) |
book | DOI | |
| 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 |
| Organic Computing -- Doctoral Dissertation Colloquium 2021 | 2022 | Tomforde, S. & Krupitzer, C. (ed.) |
book | DOI |
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