Multithreaded and Spark parallelization of feature selection filters C Eiras-Franco, V Bolón-Canedo, S Ramos, J González-Domínguez, ... Journal of Computational Science 17, 609-619, 2016 | 49 | 2016 |
Large scale anomaly detection in mixed numerical and categorical input spaces C Eiras-Franco, D Martinez-Rego, B Guijarro-Berdinas, ... Information Sciences 487, 115-127, 2019 | 36 | 2019 |
Scalable feature selection using ReliefF aided by locality‐sensitive hashing C Eiras‐Franco, B Guijarro‐Berdiñas, A Alonso‐Betanzos, A Bahamonde International Journal of Intelligent Systems 36 (11), 6161-6179, 2021 | 29 | 2021 |
A scalable decision-tree-based method to explain interactions in dyadic data C Eiras-Franco, B Guijarro-Berdinas, A Alonso-Betanzos, A Bahamonde Decision Support Systems 127, 113141, 2019 | 28 | 2019 |
Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning J Meira, C Eiras-Franco, V Bolón-Canedo, G Marreiros, ... Information Sciences 607, 1245-1264, 2022 | 14 | 2022 |
Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing C Eiras-Franco, D Martínez-Rego, L Kanthan, C Piñeiro, A Bahamonde, ... ACM Transactions on Intelligent Systems and Technology (TIST) 11 (6), 1-18, 2020 | 13 | 2020 |
Regression tree based explanation for anomaly detection algorithm ILR Botana, C Eiras-Franco, A Alonso-Betanzos Proceedings 54 (1), 7, 2020 | 10 | 2020 |
Case study of anomaly detection and quality control of energy efficiency and hygrothermal comfort in buildings C Eiras-Franco, M Flores, V Bolón-Canedo, S Zaragoza, ... 8th International Conference on Data Science, Technology and Applications …, 2019 | 5 | 2019 |
Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. C Eiras-Franco, L Kanthan, A Alonso-Betanzos, D Martínez-Rego ESANN, 2017 | 4 | 2017 |
A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning M Garralda-Barrio, C Eiras-Franco, V Bolón-Canedo Journal of Parallel and Distributed Computing 189, 104881, 2024 | 2 | 2024 |
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models J Paz-Ruza, A Alonso-Betanzos, B Guijarro-Berdiñas, B Cancela, ... arXiv preprint arXiv:2401.10690, 2024 | 2 | 2024 |
Sustainable personalisation and explainability in dyadic data systems J Paz-Ruza, C Eiras-Franco, B Guijarro-Berdiñas, A Alonso-Betanzos Procedia Computer Science 207, 1017-1026, 2022 | 2 | 2022 |
Preprocessing in high dimensional datasets A Alonso-Betanzos, V Bolón-Canedo, C Eiras-Franco, ... Advances in Biomedical Informatics, 247-271, 2018 | 2 | 2018 |
Paralelización de algoritmos de selección de caracterıticas en la plataforma weka C Eiras-Franco, V Bolón-Canedo, S Ramos, J González-Domınguez, ... CAEPIA 2015, 949-958, 2015 | 2 | 2015 |
Sustainable transparency on recommender systems: Bayesian ranking of images for explainability J Paz-Ruza, A Alonso-Betanzos, B Guijarro-Berdiñas, B Cancela, ... Information Fusion, 102497, 2024 | 1 | 2024 |
Predictive Maintenance of Naval Assets Using Machine Learning Techniques F LAMAS-LÓPEZ, D Novoa Paradela, C Eiras Franco, ... Proceedings of the STO-MP-SAS-OCS-ORA-2021 NATO Conference. AIML-03 Section, 2022 | 1 | 2022 |
New scalable machine learning methods: Beyond classification and regression C Eiras-Franco | 1 | 2019 |
Interpretable market segmentation on high dimension data C Eiras-Franco, B Guijarro-Berdiñas, A Alonso-Betanzos, A Bahamonde MDPI AG Proceedings 18 (2), 1171, 2018 | 1 | 2018 |
Seleccion de caracterısticas escalable con ReliefF mediante el uso de hashing sensible a la localidad C Eiras‐Franco, B Guijarro‐Berdinas, A Alonso‐Betanzos, A Bahamonde XVIII Conferencia de la Asociación, 2018 | 1 | 2018 |
Performance and sustainability of BERT derivatives in dyadic data M Escarda, C Eiras-Franco, B Cancela, B Guijarro-Berdiñas, ... Expert Systems with Applications 262, 125647, 2025 | | 2025 |