Ríos Sebastián

Machine Learning Methods for Predicting Adverse Drug Reactions in Hospitalized Patients

Using Congestion to Improve Short-Term Velocity Forecasting with Machine Learning Models

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