Predictive credit scoring

Last updated on Nov 20, 2019

As part of my master’s thesis at T-Mobile Austria I have developed a individual cost sensitive classification model to reduce losses caused by nonpayers. This model is deployable as an API and directly integrates into business processes.

machine-learning
Alice Wu 吳恩達
Professor of Artificial Intelligence

My research interests include distributed robotics, mobile computing and programmable matter.

Publications

Cost-based statistical methods for fraud detection. Prediction of never-paying customers considering individual risk
Telecommunication providers not only offer services but increasingly finance consumer devices. Credit scoring and the detection of …
Georg Heiler
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Cost-based statistical methods for fraud detection. Prediction of never-paying customers considering individual risk