Andreas Emrich
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View article: Uncertainty-Aware Predictive Process Monitoring in Healthcare: Explainable Insights into Probability Calibration for Conformal Prediction
Uncertainty-Aware Predictive Process Monitoring in Healthcare: Explainable Insights into Probability Calibration for Conformal Prediction Open
In high-stakes decision-making environments, predictive models must deliver not only high accuracy but also reliable uncertainty estimations and transparent explanations. This study explores the integration of probability calibration techn…
View article: Analysis of the Tool Support for Business Model Innovation
Analysis of the Tool Support for Business Model Innovation Open
Organizations adapt their business models (BM) frequently to remain competitive. One reason for this is the digitalization of products and services. A change in strategy often brings along an adaption of the BM or a complete business model…
View article: Variance based sensitivity analysis of deep drawing processes based on neural networks using Sobol indices
Variance based sensitivity analysis of deep drawing processes based on neural networks using Sobol indices Open
Today’s deep drawing of car body parts is operated increasingly closer to the process limits, making it more challenging to ensure a high robustness of the process. Disturbances like varying material properties or changing tribological con…
View article: A Multi-Sensor Approach for Digital Twins of Manual Assembly and Commissioning
A Multi-Sensor Approach for Digital Twins of Manual Assembly and Commissioning Open
Digital twins enable better control and provide a better understanding of automated manufacturing environments. However, some parts of production processes are not fully covered, as they are still carried out manually. In this paper, we pr…
View article: Increased productivity by high speed drilling.
Increased productivity by high speed drilling. Open
The paper gives a comprehensive overview of present possibilities and limitations in drilling and reaming with high cutting speeds. Different kinds of tools and material groups are investigated. The results of the research projects concern…
View article: Event Entry Time Prediction in Financial Business Processes Using Machine Learning - A Use Case From Loan Applications
Event Entry Time Prediction in Financial Business Processes Using Machine Learning - A Use Case From Loan Applications Open
The recent financial crisis has forced politics to overthink regulatory structures and compliance mechanisms for the financial industry. Faced with these new challenges the financial industry in turn has to reevaluate their risk assessment…
View article: Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry
Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry Open
Multivariate time series classification has been broadly applied in diverse domains over the past few decades. However, before applying the classification algorithms, the vast majority of current studies extract hand-engineered features th…