Raphael Fischer

According to our database, Raphael Fischer authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

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

Raphael Fischer, Amal Saadallah

CoRR, 2023

Energy Efficiency Considerations for Popular AI Benchmarks.

Raphael Fischer, Matthias Jakobs, Katharina Morik

CoRR, 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