Ríos Sebastián

Predicting Innovative Cities Using Spatio-Temporal Activity Patterns

Multiple-Choice Questions Difficulty Prediction with Neural Networks

Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics

On the dynamics of credit history and social interaction features, and their impact on creditworthiness assessment performance

On the combination of graph data for assessing thin-file borrowers’ creditworthiness

Assessment of Creditworthiness Models Privacy-Preserving Training with Synthetic Data

Neuro-semantic prediction of user decisions to contribute content to online social networks

Sistema de puntuación de alerta temprana de descompensación basado en percentiles para pacientes pediátricos hospitalizados

Non-Intrusive Assessment of COVID-19 Lockdown Follow-Up and Impact Using Credit Card Information: Case Study in Chile

Methodologically grounded semantic analysis of large volume of chilean medical literature data applied to the analysis of medical research funding efficiency in Chile

Computational Intelligence in Remote Sensing: An Editorial

Balanced training of a hybrid ensemble method for imbalanced datasets: a case of emergency department readmission prediction