Raphael Fischer

According to our database, Raphael Fischer authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development.

Raphael Fischer, Magdalena Wischnewski, Alexander Van Der Staay, Katharina Poitz, Christian Janiesch, Thomas Liebig

CoRR, January, 2025

Reflective Design Theorizing with User Interviews: A Case Study for AI Energy Labels.

Alexander Van Der Staay, Raphael Fischer, Magdalena Wischnewski, Katharina Poitz, Christian Janiesch

Proceedings of the Local Solutions for Global Challenges, 2025

2024

Towards more sustainable and trustworthy reporting in machine learning.

Raphael Fischer, Thomas Liebig, Katharina Morik

Data Min. Knowl. Discov., July, 2024

MetaQuRe: Meta-learning from Model Quality and Resource Consumption.

Raphael Fischer, Marcel Wever, Sebastian Buschjäger, Thomas Liebig

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting.

Raphael Fischer, Amal Saadallah

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Stress-Testing USB Accelerators for Efficient Edge Inference.

Alexander Van Der Staay, Raphael Fischer, Sebastian Buschjäger

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2024

2023

Energy Efficiency Considerations for Popular AI Benchmarks.

Raphael Fischer, Matthias Jakobs, Katharina Morik

CoRR, 2023

Harnessing Prior Knowledge for Explainable Machine Learning: An Overview.

Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Prioritization of Identified Data Science Use Cases in Industrial Manufacturing via C-EDIF Scoring.

Raphael Fischer, Andreas Pauly, Rahel Wilking, Anoop Kini, David Graurock

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Yes we care!-Certification for machine learning methods through the care label framework.

Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich

Frontiers Artif. Intell., 2022

A Unified Framework for Assessing Energy Efficiency of Machine Learning.

Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

2021

The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning.

Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski

CoRR, 2021

Explainable Machine Learning with Prior Knowledge: An Overview.

Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden

CoRR, 2021

2020

Solving Abstract Reasoning Tasks with Grammatical Evolution.

Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik

Proceedings of the Conference "Lernen, 2020

No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series.

Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Parameter Sharing for Spatio-Temporal Process Models.

Raphael Fischer, Nico Piatkowski, Katharina Morik

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019