6 citations · 6 across the 4 of their papers we have counts for
4 papers
Self-Supervised Relevance Modelling in Autonomous Driving via Counterfactual Analysis
Luca Lusvarghi, Javier Gozalvez, Pablo Urbano Hidalgo
Autonomous driving relies on computationally intensive perception pipelines to continuously detect and track objects in the surrounding environment. While some objects are key to p…
An Explainable Multi-Task Similarity Measure: Integrating Accumulated Local Effects and Weighted Fréchet Distance
Pablo Hidalgo, Daniel Rodriguez
In many machine learning contexts, tasks are often treated as interconnected components with the goal of leveraging knowledge transfer between them, which is the central aim of Mul…
Explainable Artificial Intelligence for Economic Time Series: A Comprehensive Review and a Systematic Taxonomy of Methods and Concepts
Agustín García-García, Pablo Hidalgo, Julio E. Sandubete
Explainable Artificial Intelligence (XAI) is increasingly required in computational economics, where machine-learning forecasters can outperform classical econometric models but re…
Explainable Prediction of Economic Time Series Using IMFs and Neural Networks
Pablo Hidalgo, Julio E. Sandubete, Agustín García-García
This study investigates the contribution of Intrinsic Mode Functions (IMFs) derived from economic time series to the predictive performance of neural network models, specifically M…