Ron Triepels
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View article: Development of machine learning models to predict posterior capsule rupture based on the <scp>EUREQUO</scp> registry
Development of machine learning models to predict posterior capsule rupture based on the <span>EUREQUO</span> registry Open
Purpose To evaluate the performance of different probabilistic classifiers to predict posterior capsule rupture (PCR) prior to cataract surgery. Methods Three probabilistic classifiers were constructed to estimate the probability of PCR: a…
View article: Anomaly Detection in the Shipping and Banking Industry
Anomaly Detection in the Shipping and Banking Industry Open
This thesis explores how organizations in the shipping and banking industry can apply anomaly detection to identify unwanted or risky events that threaten their operations. It consists of two parts. In the first part, we study how freight …
View article: Liquidity Stress Detection in the European Banking Sector
Liquidity Stress Detection in the European Banking Sector Open
Liquidity stress constitutes an ongoing threat to financial stability in the banking sector. A bank that manages its liquidity inadequately might find itself unable to meet its payment obligations. These liquidity issues, in turn, can nega…
View article: A Comparison of Three Models to Predict Liquidity Flows between Banks Based on Daily Payments Transactions
A Comparison of Three Models to Predict Liquidity Flows between Banks Based on Daily Payments Transactions Open
The analysis of payment data has become an important task for operators and overseers of financial market infrastructures. Payment data provide an accurate description of how banks manage their liquidity over time. In this paper we compare…