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ORCIDDennis Eilers
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2020 – today
- 2021
[j3]Jens Passlick
, Sonja Dreyer, Daniel Olivotti, Lukas Grützner, Dennis Eilers, Michael H. Breitner:
Predictive maintenance as an internet of things enabled business model: A taxonomy. Electron. Mark. 31(1): 67-87 (2021)
2010 – 2019
- 2019
- [j2]Christoph Gleue, Dennis Eilers, Hans-Jörg von Mettenheim, Michael H. Breitner:
Decision Support for the Automotive Industry - Forecasting Residual Values Using Artificial Neural Networks. Bus. Inf. Syst. Eng. 61(4): 385-397 (2019) - 2018
- [b1]Dennis Eilers:
Contributions to data analytics techniques with applications in forecasting, visualization and decision support. University of Hanover, Hannover, Germany, 2018 - [c5]Daniel Olivotti, Jens Passlick, Alexander Axjonow, Dennis Eilers, Michael H. Breitner:
Combining Machine Learning and Domain Experience: A Hybrid-Learning Monitor Approach for Industrial Machines. IESS 2018: 261-273 - [c4]Daniel Olivotti, Dennis Eilers:
Understanding Anomalies: Visualizing Sensor Data for Condition Monitoring of Manufacturing Machines. MKWI 2018: 280-294 - 2017
- [c3]Rouven Wiegard, Dennis Eilers, Dennis Gercke:
What does YouTube Say about Your Product? An Aspect based Approach. ECIS 2017: 28 - [c2]Dennis Eilers, Cornelius Köpp, Christoph Gleue, Michael H. Breitner:
It's not a Bug, it's a Feature: How Visual Model Evaluation can help to incorporate Human Domain Knowledge in Data Science. ICIS 2017 - [c1]Christoph Gleue, Dennis Eilers, Hans-Jörg von Mettenheim, Michael H. Breitner:
Decision Support for the Automotive Industry: Forecasting Residual Values using Artificial Neural Networks. Wirtschaftsinformatik 2017 - 2014
- [j1]Dennis Eilers, Christian L. Dunis, Hans-Jörg von Mettenheim, Michael H. Breitner:
Intelligent trading of seasonal effects: A decision support algorithm based on reinforcement learning. Decis. Support Syst. 64: 100-108 (2014)
Coauthor Index
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