Raphael Fischer

22 papers A* 1B 2Misc 1Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Lift what you can: green online learning with heterogeneous ensembles.
Data Min. Knowl. Discov.
Kirsten Köbschall, Sebastian Buschjäger, Raphael Fischer, Lisa Hartung, Stefan Kramer
2025 J jnl
Benefits and Limitations of Using GenAI for Political Education and Municipal Elections.
CoRR
Raphael Fischer, Youssef Abdelrahim, Katharina Poitz
2025 J jnl
Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development.
CoRR
Raphael Fischer, Magdalena Wischnewski, Alexander Van Der Staay, Katharina Poitz, Christian Janiesch, Thomas Liebig
2025 J jnl
Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements.
CoRR
Raphael Fischer
2025 J jnl
Lift What You Can: Green Online Learning with Heterogeneous Ensembles.
CoRR
Kirsten Köbschall, Sebastian Buschjäger, Raphael Fischer, Lisa Hartung, Stefan Kramer
2025 — conf
Reflective Design Theorizing with User Interviews: A Case Study for AI Energy Labels.
DESRIST (2)
Alexander Van Der Staay, Raphael Fischer, Magdalena Wischnewski, Katharina Poitz, Christian Janiesch
2024 A* conf
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting.
KDD
Raphael Fischer, Amal Saadallah
2024 — conf
MetaQuRe: Meta-learning from Model Quality and Resource Consumption.
ECML/PKDD (7)
Raphael Fischer, Marcel Wever, Sebastian Buschjäger, Thomas Liebig
2024 Misc conf
Stress-Testing USB Accelerators for Efficient Edge Inference.
SEC
Alexander Van Der Staay, Raphael Fischer, Sebastian Buschjäger
2024 J jnl
Towards more sustainable and trustworthy reporting in machine learning.
Data Min. Knowl. Discov.
Raphael Fischer, Thomas Liebig, Katharina Morik
2023 J jnl
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting.
CoRR
Raphael Fischer, Amal Saadallah
2023 J jnl
Energy Efficiency Considerations for Popular AI Benchmarks.
CoRR
Raphael Fischer, Matthias Jakobs, Katharina Morik
2023 — conf
Harnessing Prior Knowledge for Explainable Machine Learning: An Overview.
SaTML
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden
2023 B conf
Prioritization of Identified Data Science Use Cases in Industrial Manufacturing via C-EDIF Scoring.
DSAA
Raphael Fischer, Andreas Pauly, Rahel Wilking, Anoop Kini, David Graurock
2022 — conf
A Unified Framework for Assessing Energy Efficiency of Machine Learning.
PKDD/ECML Workshops (1)
Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik
2022 J jnl
Yes we care!-Certification for machine learning methods through the care label framework.
Frontiers Artif. Intell.
Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich
2021 J jnl
Explainable Machine Learning with Prior Knowledge: An Overview.
CoRR
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden
2021 J jnl
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning.
CoRR
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski
2021 J jnl
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework.
CoRR
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski
2020 B conf
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series.
DSAA
Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik
2020 — conf
Solving Abstract Reasoning Tasks with Grammatical Evolution.
LWDA
Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik
2019 — conf
Parameter Sharing for Spatio-Temporal Process Models.
LWDA
Raphael Fischer, Nico Piatkowski, Katharina Morik