• A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation 

      Amador-Domínguez, Elvira; Serrano, Emilio; Manrique, Daniel; Bajo, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Case-Based Reasoning models are one of the most used reasoning paradigms in expert-knowledge-driven areas. One of the most prominent fields of use of these systems is the medical sector, where explainable models are required. ...
    • A Review of Bias and Fairness in Artificial Intelligence 

      González-Sendino, Rubén; Serrano, Emilio; Bajo, Javier; Novais, Paulo (International Journal of Interactive Multimedia and Artificial Intelligence, 11/2023)
      Automating decision systems has led to hidden biases in the use of artificial intelligence (AI). Consequently, explaining these decisions and identifying responsibilities has become a challenge. As a result, a new field ...
    • Traffic Optimization Through Waiting Prediction and Evolutive Algorithms 

      García, Francisco; Hernández, Helena; Moreno-García, María N.; de Paz Santana, Juan F.; López, Vivian F.; Bajo, Javier (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Traffic optimization systems require optimization procedures to optimize traffic light timing settings in order to improve pedestrian and vehicle mobility. Traffic simulators allow obtaining accurate estimates of traffic ...