Parameter Sharing for Spatio-Temporal Process Models. - Raphael Fischer 001; Nico Piatkowski; Katharina Morik (LWDA, 2019)

No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series. - Raphael Fischer 001; Nico Piatkowski; Charlotte Pelletier; Geoffrey I. Webb; François Petitjean; Katharina Morik (DSAA, 2020)

Solving Abstract Reasoning Tasks with Grammatical Evolution. - Raphael Fischer 001; Matthias Jakobs; Sascha Mücke; Katharina Morik (LWDA, 2020)

Explainable Machine Learning with Prior Knowledge: An Overview. - Katharina Beckh; Sebastian Müller; Matthias Jakobs; Vanessa Toborek; Hanxiao Tan; Raphael Fischer 001; Pascal Welke; Sebastian Houben; Laura von Rüden (CoRR, 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 001; Andreas Pauly; Nico Piatkowski (CoRR, 2021)

A Unified Framework for Assessing Energy Efficiency of Machine Learning. - Raphael Fischer 001; Matthias Jakobs; Sascha Mücke; Katharina Morik (PKDD/ECML Workshops (1), 2022)

Yes we care!-Certification for machine learning methods through the care label framework. - Katharina Morik; Helena Kotthaus; Raphael Fischer 001; Sascha Mücke; Matthias Jakobs; Nico Piatkowski; Andreas Pauly; Lukas Heppe; Danny Heinrich (Frontiers Artif. Intell., 2022)

Prioritization of Identified Data Science Use Cases in Industrial Manufacturing via C-EDIF Scoring. - Raphael Fischer 001; Andreas Pauly; Rahel Wilking; Anoop Kini; David Graurock (DSAA, 2023)

Harnessing Prior Knowledge for Explainable Machine Learning: An Overview. - Katharina Beckh; Sebastian Müller; Matthias Jakobs; Vanessa Toborek; Hanxiao Tan; Raphael Fischer 001; Pascal Welke; Sebastian Houben; Laura von Rüden (SaTML, 2023)

Energy Efficiency Considerations for Popular AI Benchmarks. - Raphael Fischer 001; Matthias Jakobs; Katharina Morik (CoRR, 2023)

Stress-Testing USB Accelerators for Efficient Edge Inference. - Alexander Van Der Staay; Raphael Fischer 001; Sebastian Buschjäger (SEC, 2024)

AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting. - Raphael Fischer 001; Amal Saadallah (KDD, 2024)

MetaQuRe: Meta-learning from Model Quality and Resource Consumption. - Raphael Fischer 001; Marcel Wever; Sebastian Buschjäger; Thomas Liebig (ECML/PKDD (7), 2024)

Towards more sustainable and trustworthy reporting in machine learning. - Raphael Fischer 001; Thomas Liebig; Katharina Morik (Data Min. Knowl. Discov., 2024)

Reflective Design Theorizing with User Interviews: A Case Study for AI Energy Labels. - Alexander Van Der Staay; Raphael Fischer 001; Magdalena Wischnewski; Katharina Poitz; Christian Janiesch (DESRIST (2), 2025)

Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development. - Raphael Fischer 001; Magdalena Wischnewski; Alexander Van Der Staay; Katharina Poitz; Christian Janiesch; Thomas Liebig (CoRR, 2025)