58 citations · 83 across the 5 of their papers we have counts for
10 papers
Influencer Detection with Dynamic Graph Neural Networks
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir +5
Leveraging network information for prediction tasks has become a common practice in many domains. Being an important part of targeted marketing, influencer detection can potentiall…
On the dynamics of credit history and social interaction features, and their impact on creditworthiness assessment performance
Ricardo Muñoz-Cancino, Cristián Bravo, Sebastián A. Ríos +1
For more than a half-century, credit risk management has used credit scoring models in each of its well-defined stages to manage credit risk. Application scoring is used to decide…
Improving healthcare access management by predicting patient no-show behaviour
David Barrera Ferro, Sally Brailsford, Cristián Bravo +1
Low attendance levels in medical appointments have been associated with poor health outcomes and efficiency problems for service providers. To address this problem, healthcare mana…
Multilayer Network Analysis for Improved Credit Risk Prediction
María Óskarsdóttir, Cristián Bravo
We present a multilayer network model for credit risk assessment. Our model accounts for multiple connections between borrowers (such as their geographic location and their economi…
Super-App Behavioral Patterns in Credit Risk Models: Financial, Statistical and Regulatory Implications
Luisa Roa, Alejandro Correa-Bahnsen, Gabriel Suarez +3
In this paper we present the impact of alternative data that originates from an app-based marketplace, in contrast to traditional bureau data, upon credit scoring models. These alt…
Evolution of Credit Risk Using a Personalized Pagerank Algorithm for Multilayer Networks
Cristián Bravo, María Óskarsdóttir
In this paper we present a novel algorithm to study the evolution of credit risk across complex multilayer networks. Pagerank-like algorithms allow for the propagation of an influe…