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Raphael Fischer
Raphael Fischer
TU Dortmund University, Lamarr Institute
Geverifieerd e-mailadres voor udo.edu - Homepage
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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
58*2023
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
232022
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
18*2022
Solving Abstract Reasoning Tasks with Grammatical Evolution
R Fischer, M Jakobs, S Mücke, K Morik
LWDA, 6-10, 2020
152020
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
112021
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
92020
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
72023
Towards More Sustainable and Trustworthy Reporting in Machine Learning
R Fischer, T Liebig, K Morik
Data Mining and Knowledge Discovery, 1-20, 2024
62024
Energy Efficiency Considerations for Popular AI Benchmarks
R Fischer, M Jakobs, K Morik
AI for Energy Innovation Workshop at 37th AAAI Conference on A​rtificial …, 2023
42023
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting
R Fischer, A Saadallah
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
32024
MetaQuRe: Meta-learning from Model Quality and Resource Consumption
R Fischer, M Wever, S Buschjäger, T Liebig
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024
22024
Stress-Testing USB Accelerators for Efficient Edge Inference
A Van Der Staay, R Fischer, S Buschjäger
2024 IEEE/ACM Symposium on Edge Computing (SEC), 1-14, 2024
1*2024
Improving Trust in AI Through Sustainable and Trustworthy Reporting
R Fischer, M Bunse
DataNinja sAIOnARA Conference, 2024
12024
Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development
R Fischer, M Wischnewski, A van der Staay, K Poitz, C Janiesch, T Liebig
arXiv preprint arXiv:2501.11909, 2025
2025
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
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Artikelen 1–16