Impulsando la innovación.
En BBVA AI Factory trabajamos con las últimas técnicas de Inteligencia Artificial aplicadas al sector financiero, desarrollando conceptos como la mitigación de sesgos o la interpretabilidad de los modelos algorítmicos.
Lista de publicaciones en inglés.
Detection of Balance Anomalies with Quantile Regression: the Power of Non-symmetry

Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
Detecting Unusual Expense Categories for Financial Advice Apps

Using Copies to Remove Sensitive Data: A Case Study on Fair Superhero Alignment Prediction
BBVA Fuels Digital Transformation Progress with a Data Science Center of Excellence
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series

Reinforcement Learning for Fair Dynamic Pricing
Predicting competitor links in company networks

Measuring Retail Trade Using Card Transactional Data
Using Transactional Data to Determine the Usual Environment of Cardholders
Designing for Trust with Machine Learning
Forecasting Financial Short Time Series

Socioeconomic characterization of regions through the lens of individual financial transactions
End-to-end neural network architecture for fraud scoring in card payments
Crowdsourcing the Robin Hood effect in cities

When User Experience Designers Partner with Data Scientists
Cities through the Prism of People’s Spending Behavior

Measuring Economic Resilience to Natural Disasters with Big Economic Transaction Data
Pricing strategy optimization considering customer sensitivity with Monte Carlo simulations.
Predicting Regional Economic Indices using Big Data of Individual Bank Card Transactions
Influence of sociodemographic characteristics on human mobility