Harnessing Prior Knowledge for Explainable Machine Learning: An Overview K Beckh, S Müller, M Jakobs, V Toborek, H Tan, R Fischer, P Welke, ... First IEEE Conference on Secure and Trustworthy Machine Learning, 2023 | 44* | 2023 |
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework K Morik, H Kotthaus, R Fischer, S Mücke, M Jakobs, N Piatkowski, A Pauly, ... Frontiers in Artificial Intelligence, 2022 | 13* | 2022 |
A Unified Framework for Assessing Energy Efficiency of Machine Learning R Fischer, M Jakobs, S Mücke, K Morik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 13 | 2022 |
Solving Abstract Reasoning Tasks with Grammatical Evolution R Fischer, M Jakobs, S Mücke, K Morik LWDA, 6-10, 2020 | 11 | 2020 |
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series R Fischer, N Piatkowski, C Pelletier, GI Webb, F Petitjean, K Morik 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 8 | 2020 |
The Care Label Concept: A Certification Suite for Trustworthy and Resource-aware Machine Learning K Morik, H Kotthaus, L Heppe, D Heinrich, R Fischer, A Pauly, ... arXiv preprint arXiv:2106.00512, 2021 | 7 | 2021 |
Prioritization of Identified Data Science Use Cases in Industrial Manufacturing via C-EDIF Scoring R Fischer, A Pauly, R Wilking, A Kini, D Graurock 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 3 | 2023 |
Energy Efficiency Considerations for Popular AI Benchmarks R Fischer, M Jakobs, K Morik AI for Energy Innovation Workshop at 37th AAAI Conference on Artificial …, 2023 | 3 | 2023 |
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting R Fischer, A Saadallah arXiv preprint arXiv:2312.13038, 2023 | 1 | 2023 |
Towards more sustainable and trustworthy reporting in machine learning R Fischer, T Liebig, K Morik Data Mining and Knowledge Discovery, 1-20, 2024 | | 2024 |
Stress-Testing USB Accelerators for Efficient Edge Inference R Fischer, A van der Staay, S Buschjäger | | 2024 |
Parameter Sharing for Spatio-Temporal Process Models. R Fischer, N Piatkowski, K Morik LWDA, 89-93, 2019 | | 2019 |
Filling Gaps in Incomplete Satellite Images with Compressable Spatio-Temporal Random Fields R Fischer TU Dortmund University, 2019 | | 2019 |