Carlos Eiras-Franco

24 papers A* 1B 3C 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A hybrid metaheuristics-Bayesian optimization framework with safe transfer learning for continuous spark tuning.
Future Gener. Comput. Syst.
Mariano Garralda-Barrio, Carlos Eiras-Franco, Verónica Bolón-Canedo
2025 J jnl
Adaptive incremental transfer learning for efficient performance modeling of big data workloads.
Future Gener. Comput. Syst.
Mariano Garralda-Barrio, Carlos Eiras-Franco, Verónica Bolón-Canedo
2025 J jnl
Beyond RMSE and MAE: Introducing EAUC to Unmask Hidden Bias and Unfairness in Dyadic Regression Models.
IEEE Trans. Neural Networks Learn. Syst.
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco
2025 A* conf
Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution.
AAAI
Carlos Eiras-Franco, Anna Hedström, Marina M.-C. Höhne
2025 J jnl
Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution.
CoRR
Carlos Eiras-Franco, Anna Hedström, Marina M.-C. Höhne
2025 J jnl
Performance and sustainability of BERT derivatives in dyadic data.
Expert Syst. Appl.
Miguel Escarda, Carlos Eiras-Franco, Brais Cancela, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2025 B conf
Predictively Combatting Toxicity in Health-related Online Discussions through Machine Learning.
IJCNN
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Carlos Eiras-Franco
2025 J jnl
Predictively Combatting Toxicity in Health-related Online Discussions through Machine Learning.
CoRR
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Carlos Eiras-Franco
2025 — conf
Quantitative and Qualitative Evaluation on Local Explainability Models for Anomaly Detection Algorithms.
IWANN (2)
David Esteban Martínez, Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2025 J jnl
Unsupervised Dynamic Feature Selection for Robust Latent Spaces in Vision Tasks.
CoRR
Bruno Corcuera, Carlos Eiras-Franco, Brais Cancela
2024 J jnl
A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning.
J. Parallel Distributed Comput.
Mariano Garralda-Barrio, Carlos Eiras-Franco, Verónica Bolón-Canedo
2024 J jnl
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models.
CoRR
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco
2024 J jnl
Sustainable transparency on recommender systems: Bayesian ranking of images for explainability.
Inf. Fusion
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco
2023 J jnl
Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability.
CoRR
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco
2022 J jnl
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces.
CoRR
Iñigo López-Riobóo Botana, Carlos Eiras-Franco, Julio C. Hernandez-Castro, Amparo Alonso-Betanzos
2022 J jnl
Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning.
Inf. Sci.
Jorge Meira, Carlos Eiras-Franco, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos
2022 B conf
Sustainable Personalisation and Explainability in Dyadic Data Systems.
KES
Jorge Paz-Ruza, Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2021 J jnl
Scalable feature selection using ReliefF aided by locality-sensitive hashing.
Int. J. Intell. Syst.
Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
2020 J jnl
Fast Distributed
ACM Trans. Intell. Syst. Technol.
Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2019 J jnl
A scalable decision-tree-based method to explain interactions in dyadic data.
Decis. Support Syst.
Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
2019 C conf
Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings.
DATA
Carlos Eiras-Franco, Miguel Flores, Verónica Bolón-Canedo, Sonia Zaragoza, Rubén Fernández-Casal, Salvador Naya, Javier Tarrío-Saavedra
2019 J jnl
Large scale anomaly detection in mixed numerical and categorical input spaces.
Inf. Sci.
Carlos Eiras-Franco, David Martínez-Rego, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
2017 B conf
Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing.
ESANN
Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martínez-Rego
2016 J jnl
Multithreaded and Spark parallelization of feature selection filters.
J. Comput. Sci.
Carlos Eiras-Franco, Verónica Bolón-Canedo, Sabela Ramos, Jorge González-Domínguez, Amparo Alonso-Betanzos, Juan Touriño