| An evaluation of nilm approaches on industrial energy-consumption data F Kalinke, P Bielski, S Singh, E Fouché, K Böhm Proceedings of the twelfth ACM international conference on future energy …, 2021 | 37 | 2021 |
| Scaling Multi-Armed Bandit Algorithms E Fouché, J Komiyama, K Böhm The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), 2019 | 35 | 2019 |
| Reducing energy time series for energy system models via self-organizing maps HÜ Yilmaz, E Fouché, T Dengiz, L Krauß, D Keles, W Fichtner it-Information Technology, 2019 | 12 | 2019 |
| Unsupervised artificial neural networks for outlier detection in high-dimensional data D Popovic, E Fouché, K Böhm Advances in Databases and Information Systems: 23rd European Conference …, 2019 | 11 | 2019 |
| Mining Text Outliers in Document Directories E Fouché, Y Meng, F Guo, H Zhuang, K Böhm, J Han Proceedings of the 20th IEEE International Conference on Data Mining (ICDM ’20), 2020 | 10 | 2020 |
| Monte Carlo Dependency Estimation E Fouché, K Böhm Proceedings of the 31st International Conference on Scientific and …, 2019 | 9 | 2019 |
| Efficient subspace search in data streams E Fouché, F Kalinke, K Böhm Information Systems 97, 101705, 2021 | 8 | 2021 |
| A framework for dependency estimation in heterogeneous data streams E Fouché, A Mazankiewicz, F Kalinke, K Böhm Distributed and Parallel Databases, 2020 | 6 | 2020 |
| In-database analytics with ibmdbpy E Fouché, A Eckert, K Böhm Proceedings of the 30th International Conference on Scientific and …, 2018 | 6 | 2018 |
| Finite-time analysis of globally nonstationary multi-armed bandits J Komiyama, E Fouché, J Honda Journal of Machine Learning Research 25 (112), 1-56, 2024 | 5 | 2024 |
| In-database geospatial analytics using python A Roy, E Fouché, RR Morales, G Möhler Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on …, 2019 | 4 | 2019 |
| Scalable Online Change Detection for High-dimensional Data Streams F Kalinke, M Heyden, E Fouché, K Böhm arXiv preprint arXiv:2205.12706v2, 2023 | 3 | 2023 |
| Adaptive Bernstein change detector for high-dimensional data streams M Heyden, E Fouché, V Arzamasov, T Fenn, F Kalinke, K Böhm Data Mining and Knowledge Discovery 38 (3), 1334-1363, 2024 | 2 | 2024 |
| Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals M Heyden, V Arzamasov, E Fouché, K Böhm Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Leveraging Plasticity in Incremental Decision Trees M Heyden, HM Gomes, E Fouché, B Pfahringer, K Böhm Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 1 | 2024 |
| Tandem Outlier Detectors for Decentralized Data M Heyden, J Wilwer, E Fouché, S Thoma, S Matthiesen, T Gwosch Proceedings of the 34st International Conference on Scientific and …, 2022 | 1 | 2022 |
| Ibmdbpy-spatial: An Open-source implementation of in-database geospatial analytics in Python A Roy, E Fouché, R Rodriguez Morales, G Moehler EGU General Assembly Conference Abstracts, 10205, 2017 | 1 | 2017 |
| MicroPPO: Safe Power Flow Management in Decentralized Micro-Grids with Proximal Policy Optimization D Ebi, E Fouché, M Heyden, K Böhm 2024 IEEE 11th International Conference on Data Science and Advanced …, 2024 | | 2024 |
| DEAL: Data-Efficient Active Learning for Regression Under Drift BH Böhnke, E Fouché, K Böhm Pacific-Asia Conference on Knowledge Discovery and Data Mining, 188-200, 2024 | | 2024 |
| Multi-kernel Times Series Outlier Detection F Kalinke, E Fouché, H Thiessen, K Böhm International Conference on Discovery Science, 688-702, 2023 | | 2023 |
Klemens BöhmUniv.-Prof. Dr.-Ing., IPD - Institute of Program Structures and Data Organizationkit.edu의 이메일 확인됨