Sara del Río García

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
Jose M. BenitezFull Professor, Universidad de GranadaVerified email at decsai.ugr.es
Victoria Lopez MoralesResearch Associate, Imperial College LondonVerified email at imperial.ac.uk
Alberto Fernández HilarioFull Professor of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceVerified email at nottingham.ac.uk
Daniel PeraltaAssistant Professor, Dept. of Computer Science and Artificial Intelligence, University of GranadaVerified email at ugr.es
Sergio Ramírez-GallegoPhD. ML and Computer ScienceVerified email at thalesaleniaspace.com
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameVerified email at nd.edu
Jaume BacarditProfessor of Artificial Intelligence, Newcastle UniversityVerified email at newcastle.ac.uk
Guillermin Agüero-Chapin, Ph.D.CIMAR/CIIMAR, Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade do PortoVerified email at ciimar.up.pt
Evys Ancede GallardoPhD Student at Universidad Andrés BelloVerified email at uandresbello.edu
PhD Deborah GalpertProfesor de Computación Universidad Central "Marta Abreu" de Las VillasVerified email at uclv.edu.cu
Diana Martín RodríguezUniversidad Tecnológica de la Habana, CUJAEVerified email at ceis.cujae.edu.cu
María Martínez BallesterosUniversidad de SevillaVerified email at us.es
Jesus Alcala-FdezFull Professor of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
José C. RiquelmeUniversidad de SevillaVerified email at us.es
María José Del Jesus DíazAssociate professor of Computer Science, University of JaénVerified email at ujaen.es

Sara del Río García

Systems engineer, RHEA Group for European Space Agency

Verified email at sciops.esa.int

Data Mining Machine Learning Big Data GNSS Science Space Science


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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	436	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	349	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	319	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	273	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	180	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	132	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	55	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

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