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Found 6 papers, 0 papers with code
Assessment of creditworthiness models privacy-preserving training with synthetic data
Credit scoring models are the primary instrument used by financial institutions to manage credit risk.
On the dynamics of credit history and social interaction features, and their impact on creditworthiness assessment performance
Application scoring is used to decide whether to grant a credit or not, while behavioral scoring is used mainly for portfolio management and to take preventive actions in case of default signals.
On the combination of graph data for assessing thin-file borrowers' creditworthiness
Here we introduce a framework to improve credit scoring models by blending several Graph Representation Learning methods: feature engineering, graph embeddings, and graph neural networks.
Simion Zoo: A Workbench for Distributed Experimentation with Reinforcement Learning for Continuous Control Tasks
We present Simion Zoo, a Reinforcement Learning (RL) workbench that provides a complete set of tools to design, run, and analyze the results, both statistically and visually, of RL control applications.
Using Scratch to Teach Undergraduate Students' Skills on Artificial Intelligence
This paper presents a educational workshop in Scratch that is proposed for the active participation of undergraduate students in contexts of Artificial Intelligence.
Further results on dissimilarity spaces for hyperspectral images RF-CBIR
Content-Based Image Retrieval (CBIR) systems are powerful search tools in image databases that have been little applied to hyperspectral images.
