Marcel Muller

TL;DR: This paper proposes to let all organizations involved in the delivery of high value parcels mutually confirm handovers between organizations via a common distributed ledger to increase transparency and enable logistics organizations to rely on shared information when it comes to conflicts with respect to inter-organizational deliveries.

TL;DR: A heuristic Process Mining approach for extracting high level process structures from Distributed Ledgers and Decentralized Applications, which can also represent changes over time, is introduced.

TL;DR: This study to learn and explain a predictive model for ALS shows the potentialities of using deep learning from longitudinal clinical data together with deep model explanation to achieve accurate prognostic prediction and model interpretability, while drawing insights into disease progression and promoting personalized medicine.

TL;DR: A method to identify uncertainty within collaborative business processes and to add a trust layer to their modeled representation is proposed and allows process collaborators to make implicit uncertainties explicit within a process model.