Semi-supervised energy disaggregation for real-world adoption. - Tobias Albert Kohl; Domenic Kellner; Cristina A. Mihale-Wilson (ECIS, 2021)

Towards Designing a User-centric Decision Support System for Predictive Maintenance in SMEs. - Domenic Kellner; Maximilian Lowin; Moritz von Zahn; Johannes Chen (GI-Jahrestagung, 2021)

From Physical to Virtual: Leveraging Drone Imagery to Automate Photovoltaic System Maintenance. - Maximilian Lowin; Domenic Kellner; Tobias Albert Kohl; Cristina Mihale-Wilson (GI-Jahrestagung, 2021)

The Impact of the COVID-19 Pandemic on Employee Satisfaction. - Domenic Kellner; Maximilian Lowin; Oliver Hinz (PACIS, 2021)

From Twitter to COVID-19: Using NLP to Predict COVID-19 Infections. - Maximilian Lowin; Domenic Kellner (PACIS, 2021)

Causal Machine Learning - New Opportunities for Information Systems Research. - Domenic Kellner (PACIS, 2022)

Improved healthcare disaster decision-making utilizing information extraction from complementary social media data during the COVID-19 pandemic. - Domenic Kellner; Maximilian Lowin; Oliver Hinz (Decis. Support Syst., 2023)

Designing Expert-Augmented Clinical Decision Support Systems to Predict Mortality Risk in ICUs. - Johannes Chen; Maximilian Lowin; Domenic Kellner; Oliver Hinz; Elisabeth Hannah Adam; Angelo Ippolito; Katharina Wenger-Alakmeh (Künstliche Intell., 2023)