2025: Introduced EAUC to uncover hidden bias in dyadic regression models, published in Transactions on Neural Networks and Learning Systems
2025: Published 'Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution' at AAAI Conference on Artificial Intelligence
2024: Published work on performance and sustainability of BERT derivatives in dyadic data in Expert Systems With Applications
2024: Published research on adaptive incremental transfer learning for big data workload modeling in Journal of Parallel and Distributed Computing
2024: Published paper on sustainable transparency in recommender systems in Information Fusion; awarded 'Best scientific publication about recommender systems in Spain during 2023–2024' by Red ELIGE-IA
2024: Proposed a novel ML framework for Spark workload characterization in Journal of Parallel and Distributed Computing
2022: Developed an explanation method for anomaly detection in mixed numerical and categorical spaces (arXiv preprint)
2022: Published fast anomaly detection using locality-sensitive hashing and hyperparameter auto-tuning in Information Sciences
2021: Published scalable feature selection using ReliefF aided by locality-sensitive hashing in International Journal of Intelligent Systems and Technology