| On the use of mapreduce for imbalanced big data using random forest S Del Río, V López, JM Benítez, F Herrera Information Sciences 285, 112-137, 2014 | 437 | 2014 |
| Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks A Fernández, S del Río, V López, A Bawakid, MJ del Jesus, JM Benítez, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (5 …, 2014 | 353 | 2014 |
| Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data V López, S Del Río, JM Benítez, F Herrera Fuzzy Sets and Systems 258, 5-38, 2015 | 322 | 2015 |
| An insight into imbalanced Big Data classification: outcomes and challenges A Fernández, S del Río, NV Chawla, F Herrera Complex & Intelligent Systems, 1-16, 2017 | 277 | 2017 |
| ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem I Triguero, S Del Río, V López, J Bacardit, JM Benítez, F Herrera Knowledge-Based Systems 87, 69-79, 2015 | 191 | 2015 |
| Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach D Peralta, S del Rıo, S Ramırez-Gallego, I Triguero, JM Benitez, F Herrera Mathematical Problems in Engineering, 2015 | 183 | 2015 |
| A mapreduce approach to address big data classification problems based on the fusion of linguistic fuzzy rules S del Rio, V López, J Manuel Benitez, F Herrera International Journal of Computational Intelligence Systems 8 (3), 422-437, 2015 | 134 | 2015 |
| Fuzzy rule based classification systems for big data with MapReduce: granularity analysis A Fernández, S Del Río, A Bawakid, F Herrera Advances in Data Analysis and Classification, 1-20, 2016 | 57 | 2016 |
| Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification S del Río, JM Benítez, F Herrera The 9th IEEE International Conference on Big Data Science and Engineering …, 2015 | 35 | 2015 |
| On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data V Lopez, S del Rio, JM Benitez, F Herrera 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1905-1912, 2014 | 30 | 2014 |
| An effective big data supervised imbalanced classification approach for ortholog detection in related yeast species D Galpert, S Del Río, F Herrera, E Ancede-Gallardo, A Antunes, ... BioMed research international 2015 (1), 748681, 2015 | 25 | 2015 |
| A First Approach in Evolutionary Fuzzy Systems based on the Lateral Tuning of the Linguistic Labels for Big Data Classification A Fernández, S Del Río, F Herrera 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), 1-8, 2016 | 16 | 2016 |
| An overview on the structure and applications for business intelligence and data mining in cloud computing A Fernández, S del Río, F Herrera, JM Benítez 7th International Conference on Knowledge Management in Organizations …, 2013 | 12 | 2013 |
| MOPNAR-BigData: un diseno MapReduce para la extracción de reglas de asociación cuantitativas en problemas de Big Data D Martín, MM Martínez Ballesteros, S Río, J Alcalá Fernández, ... XVI Conferencia Congreso de la Asociación Española de Inteligencia …, 2015 | 3 | 2015 |
| GSSC Now: ESA Thematic Exploitation Platform for Navigation Digital Transformation. Enhancing GNSS Scientific Research V Navarro, S del Rio, MM Millán, A Messina, J Ventura-Traveset Advances in Space Research, 2024 | 2 | 2024 |
| Big Data Supervised Pairwise Ortholog Detection in Yeasts DG Cañizares, S del Río García, F Herrera, EA Gallardo, A Antunes, ... Yeast-Industrial Applications, 41-63, 2017 | 1 | 2017 |
| ESA Datalabs: Multi Mission Science Exploitation and Preservation Platform MM V. Navarro, R. Álvarez, S. Del Río, R. Guerra, V. Martín-Rubio, M.A ... Astronomical Data Analysis Software and Systems XXIX, October 6-10, 2019 …, 2019 | | 2019 |
| SOCCI: A Multi-Mission Software Engineering Platform for Science Operations AL S. Del Río, V. Navarro, K. Lumi, K. Hanson, E. Pašenkov, M. Mutso Astronomical Data Analysis Software and Systems XXIX, October 6-10 …, 2019 | | 2019 |
| Towards the provision of Global GNSS Space Users Data for Scientific Applications JVT F. Martín-Porqueras, M. Castillo, L. Mendes, V. Navarro, R. Prieto ... 7th International Colloquium on Scientific and Fundamental Aspects of GNSS …, 2019 | | 2019 |
| GSSC, a world-wide reference GNSS environment for scientific communities JL V. Navarro, S. del Río, J. Cegarra 7th International Colloquium on Scientific and Fundamental Aspects of GNSS …, 2019 | | 2019 |
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
