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Carlos Eiras Franco

Postdoctoral researcher

Universidade da Coruña


Research topics

Scalable machine learning

Explainable machine learning



About me

I am a postdoctoral researcher at Universidade da Coruña. As a member of the LIDIA Group I work on obtaining scalable and explainable machine learning algorithms. I am absolutely fascinated with the possibility of designing intelligent machines and by the study of intelligence itself.


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Research

2020

New scalable machine learning methods: Beyond classification and regression. Eiras-Franco, C., Guijarro-Berdiñas, B., Alonso-Betanzos, A., & Bahamonde, A. Doctoral thesis. - [Manuscript]


2019

Large Scale Anomaly Detection in Mixed Numerical and Categorical Input Spaces. Eiras-Franco, C., Martínez-Rego, D., Guijarro-Berdiñas, B., Alonso-Betanzos, A., & Bahamonde, A. Information Sciences, 487, 115-127. - [https://doi.org/10.1016/j.ins.2019.03.013] [preprint]

Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings. Eiras-Franco, C., Flores, M., Bolón-Canedo, V., Zaragoza, S., Fernández-Casal, R., Naya, S., & Tarrıo-Saavedra, J. In Proceedings of the 8th International Conference on Data Science, Technology and Applications (DATA 2019) - [Conference] [preprint]

A scalable decision-tree-based method to explain interactions in dyadic data. Eiras-Franco, C., Guijarro-Berdiñas, B., Alonso-Betanzos, A., & Bahamonde, A. Decision Support Systems, 127, 113141. - [https://doi.org/10.1016/j.dss.2019.113141] [preprint]


2018

Preprocessing in High Dimensional Datasets. Alonso-Betanzos, A., Bolón-Canedo, V., Eiras-Franco, C., Morán-Fernández, L., & Seijo-Pardo, B. In Advances in Biomedical Informatics (pp. 247-271). Springer, Cham. - [https://doi.org/10.1007/978-3-319-67513-8_11]


2017

Scalable approximate kNN Graph construction based on Locality Sensitive Hashing. Eiras-Franco, C., Kanthan, L., Alonso-Betanzos, A., & Martínez-Rego, D. (2017). Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. In 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Proceedings - [Manuscript]


2016

Multithreaded and Spark parallelization of feature selection filters. Eiras-Franco, C., Bolón-Canedo, V., Ramos, S., González-Domínguez, J., Alonso-Betanzos, A., & Tourino, J. Journal of Computational Science, 17, 609-619. - [https://doi.org/10.1016/j.jocs.2016.07.002] [preprint]