Raphael Fischer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Machine Learning

Top Venues

Publications

Raphael Fischer, Thomas Liebig, Katharina Morik
Towards more sustainable and trustworthy reporting in machine learning. Data Min. Knowl. Discov. 38 (4) (2024)
Raphael Fischer, Amal Saadallah
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting. KDD (2024)
Raphael Fischer, Matthias Jakobs, Katharina Morik
Energy Efficiency Considerations for Popular AI Benchmarks. CoRR (2023)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden
Harnessing Prior Knowledge for Explainable Machine Learning: An Overview. SaTML (2023)
Raphael Fischer, Amal Saadallah
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting. CoRR (2023)
Raphael Fischer, Andreas Pauly, Rahel Wilking, Anoop Kini, David Graurock
Prioritization of Identified Data Science Use Cases in Industrial Manufacturing via C-EDIF Scoring. DSAA (2023)
Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich
Yes we care!-Certification for machine learning methods through the care label framework. Frontiers Artif. Intell. 5 (2022)
Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik
A Unified Framework for Assessing Energy Efficiency of Machine Learning. PKDD/ECML Workshops (1) (2022)
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework. CoRR (2021)
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning. CoRR (2021)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden
Explainable Machine Learning with Prior Knowledge: An Overview. CoRR (2021)
Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik
Solving Abstract Reasoning Tasks with Grammatical Evolution. LWDA (2020)
Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series. DSAA (2020)
Raphael Fischer, Nico Piatkowski, Katharina Morik
Parameter Sharing for Spatio-Temporal Process Models. LWDA (2019)