| Applying MAPE-K control loops for adaptive workflow management in smart factories L Malburg, M Hoffmann, R Bergmann Journal of Intelligent Information Systems 61 (1), 83-111, 2023 | 42 | 2023 |
| 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 | 10 | 2021 |
| Explanation of similarities in process-oriented case-based reasoning by visualization A Schultheis, M Hoffmann, L Malburg, R Bergmann International Conference on Case-Based Reasoning, 53-68, 2023 | 7 | 2023 |
| 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 | 6 | 2022 |
| Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning M Hoffmann, R Bergmann arXiv preprint arXiv:2106.15931, 2021 | 5 | 2021 |
| 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 | 5 | 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 |
| A framework for AI-based self-adaptive cyber-physical process systems A Guldner, M Hoffmann, C Lohr, R Machhamer, L Malburg, M Morgen, ... it-Information Technology 65 (3), 113-128, 2023 | 2 | 2023 |
| Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning N Schuler, M Hoffmann, HP Beise, R Bergmann International Conference on Innovative Techniques and Applications of …, 2023 | 1 | 2023 |
| Similarity-based retrieval in process-oriented case-based reasoning using graph neural networks and transfer learning J Pauli, M Hoffmann, R Bergmann The International FLAIRS Conference Proceedings 36, 2023 | 1 | 2023 |
| Ranking-based case retrieval with graph neural networks in process-oriented case-based reasoning M Hoffmann, R Bergmann The International FLAIRS Conference Proceedings 36, 2023 | 1 | 2023 |
| Using Deep Reinforcement Learning for the Adaptation of Semantic Workflows. F Brand, K Lott, L Malburg, M Hoffmann, R Bergmann ICCBR Workshops, 55-70, 2023 | 1 | 2023 |
| 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 |
Ralph BergmannUniversity of Trier and German Research Center für AI (DFKI)Dirección de correo verificada de uni-trier.de
