| Constructing a control chart using functional data M Flores, S Naya, R Fernández-Casal, S Zaragoza, P Raña, ... Mathematics 8 (1), 58, 2020 | 31 | 2020 |
| Turismo sustentable y los diferentes enfoques, aproximaciones y herramientas para su medición AMS Hernandez, EV Da Silva, MAF Sanchez PASOS Revista De Turismo Y Patrimonio Cultural 17 (5), 901-914, 2019 | 29 | 2019 |
| Statistical functional approach for interlaboratory studies with thermal data S Naya, J Tarrío-Saavedra, J López-Beceiro, M Francisco-Fernández, ... Journal of Thermal Analysis and Calorimetry 118, 1229-1243, 2014 | 14 | 2014 |
| Spatiotemporal patterns of burned areas, fire drivers, and fire probability across the equatorial Andes X Zapata-Ríos, C Lopez-Fabara, A Navarrete, S Torres-Paguay, M Flores Journal of Mountain Science 18 (4), 952-972, 2021 | 12 | 2021 |
| ILS: An R package for statistical analysis in Interlaboratory Studies M Flores, R Fernández-Casal, S Naya, J Tarrío-Saavedra, R Bossano Chemometrics and Intelligent Laboratory Systems 181, 11-20, 2018 | 11 | 2018 |
| Statistical quality control with the qcr package M Flores, R Fernández-Casal, S Naya, J Tarrío-Saavedra R Journal 13 (1), 194-217, 2021 | 10 | 2021 |
| Functional extensions of Mandel's h and k statistics for outlier detection in interlaboratory studies M Flores, J Tarrio-Saavedra, R Fernandez-Casal, S Naya Chemometrics and Intelligent Laboratory Systems 176, 134-148, 2018 | 10 | 2018 |
| Smart home IoT network risk assessment using Bayesian networks M Flores, D Heredia, R Andrade, M Ibrahim Entropy 24 (5), 668, 2022 | 5 | 2022 |
| 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 |
| Functional data analysis approach of Mandel’s h and k statistics in Interlaboratory Studies M Flores, S Naya, J Tarrío-Saavedra, R Fernández-Casal Functional Statistics and Related Fields, 123-130, 2017 | 5 | 2017 |
| Local correlation integral approach for anomaly detection using functional data JR Sosa Donoso, M Flores, S Naya, J Tarrío-Saavedra Mathematics 11 (4), 815, 2023 | 4 | 2023 |
| Integration of AI and IoT approaches for evaluating cybersecurity risk on smart city RO Andrade, SG Yoo, L Tello-Oquendo, M Flores, I Ortiz Artificial Intelligence-based Internet of Things Systems, 305-333, 2022 | 4 | 2022 |
| New robust capability ratios approaches for quality control S Naya, A Devia-Rivera, J Tarrío-Saavedra, M Flores Dyna 83 (198), 94-101, 2016 | 4 | 2016 |
| Robust bootstrapped Mandel's h and k statistics for outlier detection in interlaboratory studies M Flores, G Moreno, C Solórzano, S Naya, J Tarrío-Saavedra Chemometrics and Intelligent Laboratory Systems 219, 104429, 2021 | 3 | 2021 |
| What are the main variables that influence the dynamics of Ecuador’s sovereign risk? P Carrillo-Maldonado, J Díaz-Cassou, M Flores Journal of Applied Economics 26 (1), 2158009, 2023 | 2 | 2023 |
| A spatio-temporal multinomial model of firearm death in Ecuador J Sosa, Á Briz-Redón, M Flores, M Abril, J Mateu Spatial Statistics 54, 100738, 2023 | 2 | 2023 |
| Integrating spatial dependence into functional clustering of NDVI in the Ecuadorian Andes J Chuquin, A Maigua, M Flores, J Mateu, S Torres, X Zapata‐Ríos Quality and Reliability Engineering International 39 (2), 670-684, 2023 | 2 | 2023 |
| Análisis Bibliométrico de la Producción Científica en el Sistema de Educación Superior Ecuatoriano JG Morocho Guerra Quito, 2018., 2018 | 2 | 2018 |
| Nuevas aportaciones del análisis de datos funcionales en el control estadístico de procesos M Flores Sánchez | 2 | 2018 |
| Functional data analysis applied to financial risk: a case study in ecuadorian credit unions S Castillo, M Flores, G Herrera Latin-American Journal of Computing 4 (1), 7-7, 2017 | 2 | 2017 |
Salvador NayaUniversidad de A CoruñaDirección de correo verificada de udc.es
