25 citations · 32 across the 7 of their papers we have counts for
5 papers · 1 filter
Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
Ana María Quintero-Ossa, Jesús Solano, Hernán Jarcía +3
Privacy-preserving machine learning in data-sharing processes is an ever-critical task that enables collaborative training of Machine Learning (ML) models without the need to share…
Relational Graph Neural Networks for Fraud Detection in a Super-App environment
Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina +4
Large digital platforms create environments where different types of user interactions are captured, these relationships offer a novel source of information for fraud detection pro…
Enhancing User' s Income Estimation with Super-App Alternative Data
Gabriel Suarez, Juan Raful, Maria A. Luque +2
This paper presents the advantages of alternative data from Super-Apps to enhance user' s income estimation models. It compares the performance of these alternative data sources wi…
Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data
Luisa Roa, Andrés Rodríguez-Rey, Alejandro Correa-Bahnsen +1
The presence of Super-Apps have changed the way we think about the interactions between users and commerce. It then comes as no surprise that it is also redefining the way banking…
Ensemble of Example-Dependent Cost-Sensitive Decision Trees
Alejandro Correa Bahnsen, Djamila Aouada, Bjorn Ottersten
Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classe…