Using Siamese Graph Neural Networks for Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning M Hoffmann, L Malburg, P Klein, R Bergmann International Conference on Case-Based Reasoning, 229-244, 2020 | 20 | 2020 |
Using graph embedding techniques in process-oriented case-based reasoning M Hoffmann, R Bergmann Algorithms 15 (2), 27, 2022 | 10 | 2022 |
ProGAN: toward a framework for process monitoring and flexibility by change via generative adversarial networks M Hoffmann, L Malburg, R Bergmann International Conference on Business Process Management, 43-55, 2021 | 9 | 2021 |
Improving automated hyperparameter optimization with case-based reasoning M Hoffmann, R Bergmann International Conference on Case-Based Reasoning, 273-288, 2022 | 6 | 2022 |
Considering inter-case dependencies during similarity-based retrieval in process-oriented case-based reasoning R Kumar, A Schultheis, L Malburg, M Hoffmann, R Bergmann The International FLAIRS Conference Proceedings 35, 2022 | 4 | 2022 |
Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning M Hoffmann, R Bergmann arXiv preprint arXiv:2106.15931, 2021 | 4 | 2021 |
GPU-based graph matching for accelerating similarity assessment in process-oriented case-based reasoning M Hoffmann, L Malburg, N Bach, R Bergmann International Conference on Case-Based Reasoning, 240-255, 2022 | 3 | 2022 |
Improving similarity-based retrieval efficiency by using graphic processing units in case-based reasoning L Malburg, M Hoffmann, S Trumm, R Bergmann The International FLAIRS Conference Proceedings 34, 2021 | 3 | 2021 |
Considering nutrients during the generation of recipes by process-oriented case-based reasoning C Zeyen, M Hoffmann, G Müller, R Bergmann Case-Based Reasoning Research and Development: 26th International Conference …, 2018 | 1 | 2018 |