Carlos Eiras-Franco

According to our database, Carlos Eiras-Franco authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models.

Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco

CoRR, 2024

2023

Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability.

Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco

CoRR, 2023

2022

Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning.

Jorge Meira, Carlos Eiras-Franco, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos

Inf. Sci., 2022

Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces.

Iñigo López-Riobóo Botana, Carlos Eiras-Franco, Julio Hernandez-Castro, Amparo Alonso-Betanzos

CoRR, 2022

Sustainable Personalisation and Explainability in Dyadic Data Systems.

Jorge Paz-Ruza, Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021

Scalable feature selection using ReliefF aided by locality-sensitive hashing.

Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde

Int. J. Intell. Syst., 2021

2020

Fast Distributed <i>k</i>NN Graph Construction Using Auto-tuned Locality-sensitive Hashing.

Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos

ACM Trans. Intell. Syst. Technol., 2020

2019

Large scale anomaly detection in mixed numerical and categorical input spaces.

Carlos Eiras-Franco, David Martínez-Rego, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde

Inf. Sci., 2019

A scalable decision-tree-based method to explain interactions in dyadic data.

Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde

Decis. Support Syst., 2019

Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings.

Carlos Eiras-Franco, Miguel Flores, Verónica Bolón-Canedo, Sonia Zaragoza, Rubén Fernández-Casal, Salvador Naya, Javier Tarrío-Saavedra

Proceedings of the 8th International Conference on Data Science, 2019

2017

Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing.

Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martínez-Rego

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Multithreaded and Spark parallelization of feature selection filters.

Carlos Eiras-Franco, Verónica Bolón-Canedo, Sabela Ramos, Jorge González-Domínguez, Amparo Alonso-Betanzos, Juan Touriño

J. Comput. Sci., 2016