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

Decke, Jens, Jenß, Arne, Sick, Bernhard and Gruhl, Christian. "An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing." Paper presented at the meeting of the International Conference on Architecture of Computing Systems (ARCS), 2024.

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

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

Magnussen, Birk Martin, Möckel, Frank, Jessulat, Maik, Stern, Claudius and Sick, Bernhard. "Optical Detection of the Body Mass Index and Related Parameters Using Multiple Spatially Resolved Reflection Spectroscopy." Paper presented at the meeting of the International Conference on Bioinformatics and Computational Biology (ICBCB), 2024.

Aßenmacher, Matthias, Rauch, Lukas, Goschenhofer, Jann, Stephan, Andreas, Bischl, Bernd, Roth, Benjamin and Sick, Bernhard. "Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering." Paper presented at the meeting of the Workshop on Interactive Adapative Learning (IAL), ECML PKDD, 2023.

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

Decke, Jens, Gruhl, Christian, Rauch, Lukas and Sick, Bernhard. "DADO – Low-Cost Query Strategies for Deep Active Design Optimization." Paper presented at the meeting of the International Conference on Machine Learning and Applications (ICMLA), 2023.

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

Heidecker, Florian, Susetzky, Tobias, Fuchs, Erich and Sick, Bernhard. "Context Information for Corner Case Detection in Highly Automated Driving." Paper presented at the meeting of the IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023.

Heidecker, Florian, Bieshaar, Maarten and Sick, Bernhard. "Corner Cases in Machine Learning Processes." AI Perspectives & Advances 6 , no. 1 (2023): 1--17.

Huang, Zhixin, He, Yujiang and Sick, Bernhard. "Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction." Paper presented at the meeting of the Computational Science and Computational Intelligence (CSCI), 2023.

Magnussen, Birk Martin, Stern, Claudius and Sick, Bernhard. "Continuous Feature Networks: A Novel Method to Process Irregularly and Inconsistently Sampled Data With Position-Dependent Features." International Journal On Advances in Intelligent Systems 16 , no. 3&4 (2023): 43--50.

Magnussen, Birk Martin, Stern, Claudius and Sick, Bernhard. "Leveraging Repeated Unlabelled Noisy Measurements to Augment Supervised Learning." Paper presented at the meeting of the International Conference on Computational Intelligence and Intelligent Systems (CIIS), 2023.

Nivarthi, Chandana Priya, Vogt, Stephan and Sick, Bernhard. "Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions." Machine Learning and Knowledge Extraction (MAKE) 5 , no. 3 (2023): 1214--1233.

Nivarthi, Chandana Priya and Sick, Bernhard. "Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding." Paper presented at the meeting of the International Conference on Machine Learning and Applications (ICMLA), 2023.

Schreck, Steven, Reichert, Hannes, Hetzel, Manuel, Doll, Konrad and Sick, Bernhard. "Height Change Feature Based Free Space Detection." Paper presented at the meeting of the International Conference on Control, Mechatronics and Automation (ICCMA), 2023.

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

Loeser, Inga, Braun, Martin, Gruhl, Christian, Menke, Jan-Hendrik, Sick, Bernhard and Tomforde, Sven. "The Vision of Self-Management in Cognitive Organic Power Distribution Systems." Energies 15 , no. 3 (2022): 881.

Pham, Tuan, Kottke, Daniel, Krempl, Georg and Sick, Bernhard. "Stream-based active learning for sliding windows under the influence of verification latency." Machine Learning 111 , no. 6 (2022): 2011--2036.