Intelligent trading of seasonal effects: A decision support algorithm based on reinforcement learning. - Dennis Eilers; Christian L. Dunis; Hans-Jörg von Mettenheim; Michael H. Breitner (Decis. Support Syst., 2014)

What does YouTube Say about Your Product? An Aspect based Approach. - Rouven Wiegard; Dennis Eilers; Dennis Gercke (ECIS, 2017)

It's not a Bug, it's a Feature: How Visual Model Evaluation can help to incorporate Human Domain Knowledge in Data Science. - Dennis Eilers; Cornelius Köpp; Christoph Gleue; Michael H. Breitner (ICIS, 2017)

Combining Machine Learning and Domain Experience: A Hybrid-Learning Monitor Approach for Industrial Machines. - Daniel Olivotti; Jens Passlick; Alexander Axjonow; Dennis Eilers; Michael H. Breitner (IESS, 2018)

Understanding Anomalies: Visualizing Sensor Data for Condition Monitoring of Manufacturing Machines. - Daniel Olivotti; Dennis Eilers (MKWI, 2018)

Contributions to data analytics techniques with applications in forecasting, visualization and decision support. - Dennis Eilers (2018)

Decision Support for the Automotive Industry - Forecasting Residual Values Using Artificial Neural Networks. - Christoph Gleue; Dennis Eilers; Hans-Jörg von Mettenheim; Michael H. Breitner (Bus. Inf. Syst. Eng., 2019)

Predictive maintenance as an internet of things enabled business model: A taxonomy. - Jens Passlick; Sonja Dreyer; Daniel Olivotti; Lukas Grützner; Dennis Eilers; Michael H. Breitner (Electron. Mark., 2021)