Raquel Martínez España
Raquel Martínez España
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Citata da
Citata da
Feature subset selection filter–wrapper based on low quality data
JM Cadenas, MC Garrido, R MartíNez
Expert systems with applications 40 (16), 6241-6252, 2013
Analysis of student behavior in learning management systems through a Big Data framework
M Cantabella, R Martínez-España, B Ayuso, JA Yáñez, A Muñoz
Future Generation Computer Systems 90, 262-272, 2019
Air-pollution prediction in smart cities through machine learning methods: A Case of study in Murcia, Spain.
R Martínez-España, A Bueno-Crespo, IM Timon-Perez, JA Soto, A Munoz, ...
J. Univers. Comput. Sci. 24 (3), 261-276, 2018
Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning
MA Guillén, A Llanes, B Imbernón, R Martínez-España, A Bueno-Crespo, ...
The Journal of Supercomputing 77 (1), 818-840, 2021
Extending information processing in a fuzzy random forest ensemble
JM Cadenas, MC Garrido, R Martínez, PP Bonissone
Soft Computing 16 (5), 845-861, 2012
IoT-based system to forecast crop frost
MÁ Guillén-Navarro, F Pereñíguez-García, R Martínez-España
2017 International Conference on Intelligent Environments (IE), 28-35, 2017
Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data
S García-Cremades, J Morales-García, R Hernández-Sanjaime, ...
Scientific Reports 11 (1), 1-16, 2021
A fuzzy K-nearest neighbor classifier to deal with imperfect data
PP Cadenas, J. M., Garrido, M. C., Martínez, R., Muñoz, E., & Bonissone
Soft Computing, 1-18., 2017
OFP_CLASS: a hybrid method to generate optimized fuzzy partitions for classification
JM Cadenas, MC Garrido, R Martínez, PP Bonissone
Soft Computing 16 (4), 667-682, 2012
Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique
J Martinez-Mas, A Bueno-Crespo, R Martinez-Espana, ...
Expert Systems with Applications 160, 113707, 2020
Developing an intelligent system for the prediction of soil properties with a portable mid-infrared instrument
R Martínez-España, A Bueno-Crespo, J Soto, LJ Janik, JM Soriano-Disla
Biosystems Engineering 177, 101-108, 2019
A high‐performance IoT solution to reduce frost damages in stone fruits
MA Guillén‐Navarro, R Martínez‐España, B López, JM Cecilia
Concurrency and Computation: Practice and Experience 33 (2), e5299, 2021
Making decisions for frost prediction in agricultural crops in a soft computing framework
JM Cadenas, MC Garrido, R Martínez-España, MA Guillén-Navarro
Computers and Electronics in Agriculture 175, 105587, 2020
Sound levels forecasting in an acoustic sensor network using a deep neural network
JM Navarro, R Martínez-España, A Bueno-Crespo, R Martínez, JM Cecilia
Sensors 20 (3), 903, 2020
A deep learning model to predict lower temperatures in agriculture
MA Guillén-Navarro, R Martínez-España, A Llanes, A Bueno-Crespo, ...
Journal of Ambient Intelligence and Smart Environments 12 (1), 21-34, 2020
Use of computing devices as sensors to measure their impact on primary and secondary students’ performance
FL Fernández-Soriano, B López, R Martínez-España, A Muñoz, ...
Sensors 19 (14), 3226, 2019
Evolutionary strategies as applied to shear strain effects in reinforced concrete beams
RM España, AM Hernández-Díaz, JM Cecilia, MD García-Román
Applied Soft Computing 57, 164-176, 2017
NIP-an imperfection processor to data mining datasets
JM Cadenas, MC Garrido, R Martínez
International Journal of Computational Intelligence Systems 6 (sup1), 3-17, 2013
Extreme learning machine-based prediction of uptake of pharmaceuticals in reclaimed water-irrigated lettuces in the Region of Murcia, Spain.
M González García, C Fernández-López, A Bueno-Crespo, ...
Biosystems Engineering 177, 78-89, 2019
Searching for behavior patterns of students in different training modalities through Learning Management Systems
M Cantabella, ED de la Fuente, R Martínez-España, B Ayuso, A Muñoz
2017 International Conference on Intelligent Environments (IE), 44-51, 2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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