Carlos Eiras-Franco
Scholar

Carlos Eiras-Franco

Google Scholar ID: 4bYcAtYAAAAJ
Investigador postdoctoral, Universidade da Coruña
machine learningescalabilidad
Citations & Impact
All-time
Citations
219
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • 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