Kai Heinrich

The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study

Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich et al. · Electronic Markets · 2022 · 130 citations · Full text

Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability

Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner et al. · International Journal of Information Management · 2022 · 113 citations · Full text

Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning

Kai Heinrich, Patrick Zschech, Christian Janiesch et al. · Decision Support Systems · 2021 · 46 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Deep Neural Networks +14

Intelligent User Assistance for Automated Data Mining Method Selection

Patrick Zschech, Richard L. Van Horn, Daniel Höschele et al. · Business & Information Systems Engineering · 2020 · 27 citations · Full text

Engineering, Knowledge Extraction, Mining Methods +22

Prognostic Model Development with Missing Labels

Patrick Zschech, Kai Heinrich, Raphael Bink et al. · Business & Information Systems Engineering · 2019 · 23 citations · Full text

Prognostic Evaluation, Missing Labels, Reliability Engineering +7