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Raquel Martínez 0002
Raquel Martínez-España
Person information
- affiliation: Catholic University of Murcia, Department of Computer Engineering, Spain
Other persons with the same name
- Raquel Martínez — disambiguation page
- Raquel Martínez-Unanue 0001
(aka: Raquel Martínez 0001) — National Distance Education University, Department of Computer Systems and Languages, Madrid, Spain
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2020 – today
- 2024
- [j28]Raquel Martínez-España
Methodology for Measuring Individual Affective Polarization Using Sentiment Analysis in Social Networks. IEEE Access 12: 102035-102049 (2024) - [c33]Andrés Bueno-Crespo
Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model. IWINAC (2) 2024: 451-460 - 2023
- [j27]Juan Morales-García
Evaluation of synthetic data generation for intelligent climate control in greenhouses. Appl. Intell. 53(21): 24765-24781 (2023) - [j26]Juan Morales-García
SEPARATE: A tightly coupled, seamless IoT infrastructure for deploying AI algorithms in smart agriculture environments. Internet Things 22: 100734 (2023) - [j25]Juan Morales-García
Data-driven evaluation of machine learning models for climate control in operational smart greenhouses. J. Ambient Intell. Smart Environ. 15(1): 3-17 (2023) - [j24]José Manuel Cadenas
A Methodology Based on Machine Learning and Soft Computing to Design More Sustainable Agriculture Systems. Sensors 23(6): 3038 (2023) - [j23]Juan Morales-García
Evaluation of low-power devices for smart greenhouse development. J. Supercomput. 79(9): 10277-10299 (2023) - [c32]José G. Giménez, Raquel Martínez-España, Juan-Carlos Cano, José M. Cecilia:
Estimation of Chl-a in highly anthropized environments using machine learning and remote sensing. IE 2023: 1-8 - [c31]Andrés Muñoz, Raquel Martínez-España, Gabriel Guerrero-Contreras
A real-time traffic alert system based on image recognition: A case of study in Spain. IE 2023: 1-7 - [c30]Fernando Terroso-Saenz, Andrés Bueno-Crespo, Andrés Muñoz, Raquel Martínez-España:
Preface to the Proceedings of the 3rd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'23). Intelligent Environments (Workshops) 2023: 47-48 - 2022
- [c29]Andrés Muñoz, Raquel Martínez-España, Fernando Terroso-Saenz, Andrés Bueno-Crespo:
Preface to the Proceedings of ALLEGET'22. Intelligent Environments (Workshops) 2022: 167 - 2021
- [j22]Miguel A. Guillén-Navarro, Raquel Martínez-España
A high-performance IoT solution to reduce frost damages in stone fruits. Concurr. Comput. Pract. Exp. 33(2) (2021) - [j21]Miguel Ángel Guillén, Antonio Llanes
Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning. J. Supercomput. 77(1): 818-840 (2021) - [c28]Raquel Martínez-España, Andrés Bueno-Crespo, Fernando Terroso-Saenz, Andrés Muñoz
Preface to the Proceedings of 1st International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'21). Intelligent Environments (Workshops) 2021: 223-224 - 2020
- [j20]José Manuel Cadenas
Making decisions for frost prediction in agricultural crops in a soft computing framework. Comput. Electron. Agric. 175: 105587 (2020) - [j19]José Martínez-Más, Andrés Bueno-Crespo
Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique. Expert Syst. Appl. 160: 113707 (2020) - [j18]Magdalena Cantabella, Raquel Martínez-España, Belén López, Andrés Muñoz:
A Fine-Grained Model to Assess Learner-Content and Methodology Satisfaction in Distance Education. Int. J. Interact. Multim. Artif. Intell. 6(4): 87-96 (2020) - [j17]Miguel A. Guillén-Navarro, Raquel Martínez-España
A deep learning model to predict lower temperatures in agriculture. J. Ambient Intell. Smart Environ. 12(1): 21-34 (2020) - [j16]José Manuel Cadenas
Development of an application to make knowledge available to the farmer: Detection of the most suitable crops for a more sustainable agriculture. J. Ambient Intell. Smart Environ. 12(5): 419-432 (2020) - [j15]Juan M. Navarro
Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network. Sensors 20(3): 903 (2020) - [j14]Miguel A. Guillén-Navarro, Raquel Martínez-España
A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers. Sensors 20(24): 7129 (2020) - [c27]José Manuel Cadenas
Towards the Characterization of Agricultural Regions Based on Weather Conditions - Sustainable Agriculture. Intelligent Environments (Workshops) 2020: 143-151
2010 – 2019
- 2019
- [j13]Magdalena Cantabella
Analysis of student behavior in learning management systems through a Big Data framework. Future Gener. Comput. Syst. 90: 262-272 (2019) - [j12]Francisco Luis Fernández-Soriano, Belén López, Raquel Martínez-España
Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students' Performance. Sensors 19(14): 3226 (2019) - [c26]M. Ángel Guillén-Navarro, Raquel Martínez-España, Andrés Bueno-Crespo, Belén Ayuso, Jose Luis Moreno, José M. Cecilia:
An LSTM Deep Learning Scheme for Prediction of Low Temperatures in Agriculture. Intelligent Environments (Workshops) 2019: 130-138 - [p2]Raquel Martínez-España, Andrés Bueno-Crespo
Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques. Agriculture and Environment Perspectives in Intelligent Systems 2019: 72-90 - [p1]M. Ángel Guillén-Navarro, José Manuel Cadenas
Minimum Temperature Prediction Models in Plots to Forecast Frost in Crops. Agriculture and Environment Perspectives in Intelligent Systems 2019: 91-106 - 2018
- [j11]Magdalena Cantabella, Raquel Martínez-España, Belén López, Juan Antonio Yáñez, Andrés Muñoz:
Studying lecturers' behaviour patterns in Learning Management System on different training modalities and knowledge areas. EAI Endorsed Trans. e Learn. 5(18): e2 (2018) - [j10]José Manuel Cadenas
A k-nearest neighbors based approach applied to more realistic activity recognition datasets. J. Ambient Intell. Smart Environ. 10(3): 247-259 (2018) - [j9]Andrés Bueno-Crespo
An unsupervised technique to discretize numerical values by fuzzy partitions. J. Ambient Intell. Smart Environ. 10(3): 289-300 (2018) - [j8]Raquel Martínez-España, Andrés Bueno-Crespo, Isabel Maria Timon-Perez, Jesús A. Soto, Andrés Muñoz, José M. Cecilia:
Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain. J. Univers. Comput. Sci. 24(3): 261-276 (2018) - [j7]José Manuel Cadenas
A fuzzy K-nearest neighbor classifier to deal with imperfect data. Soft Comput. 22(10): 3313-3330 (2018) - [c25]José Martínez-Más, Andrés Bueno-Crespo, Baldomero Imbernón
Deep Learning Approach for Classifying Papanicolau Cervical Smears. ICPP Workshops 2018: 7:1-7:5 - [c24]M. Ángel Guillén-Navarro, José Manuel Cadenas
A Preliminary Study to Solve Crop Frost Prediction Using an Intelligent Data Analysis Process. Intelligent Environments (Workshops) 2018: 97-106 - [c23]Magdalena Cantabella, Raquel Martínez-España
Analysis of Lecturers' Behavior Through the Use of Learning Management Systems: A Case Study in Computer Engineering. Intelligent Environments (Workshops) 2018: 407-416 - 2017
- [j6]Raquel Martínez-España
Evolutionary strategies as applied to shear strain effects in reinforced concrete beams. Appl. Soft Comput. 57: 164-176 (2017) - [j5]Andrés Bueno-Crespo
Bioinspired Architecture Selection for Multitask Learning. Frontiers Neuroinformatics 11: 39 (2017) - [c22]M. Ángel Guillén-Navarro, Fernando Pereñíguez-Garcia
IoT-based System to Forecast Crop Frost. Intelligent Environments 2017: 28-35 - [c21]Magdalena Cantabella
Searching for Behavior Patterns of Students in Different Training Modalities through Learning Management Systems. Intelligent Environments 2017: 44-51 - [c20]José Manuel Cadenas
A More Realistic K-Nearest Neighbors Method and Its Possible Applications to Everyday Problems. Intelligent Environments 2017: 52-59 - [c19]Raquel Martínez-España
Influence of Multivariate Modeling in the Prediction of Soil Carbon by a Portable Infrared Sensor. Intelligent Environments (Workshops) 2017: 88-97 - [c18]Andrés Bueno-Crespo
Discretizing Numerical Values by a Fuzzy Clustering Technique. Intelligent Environments 2017: 172-175 - 2015
- [c17]José Manuel Cadenas
Measuring Data Imperfection in a Neighborhood Based Method. CAEPIA 2015: 213-223 - [c16]José Manuel Cadenas, M. Carmen Garrido, Raquel Martínez, Clara Calvo, Carlos Ivorra, Vicente Liern:
GASRP-FP: A hybrid metaheuristic to solve fuzzy portfolio selection with non-financial goals. IFSA-EUSFLAT 2015 - [c15]José Manuel Cadenas, M. Carmen Garrido, Raquel Martínez, Antonio Munoz-Ledesma:
Classification based on Neighborhood from Datasets with Low Quality Data. IFSA-EUSFLAT 2015 - 2014
- [c14]Raquel Martínez
The experimenter environment of the NIP imperfection processor. FUZZ-IEEE 2014: 2141-2148 - 2013
- [j4]José Manuel Cadenas
Feature subset selection Filter-Wrapper based on low quality data. Expert Syst. Appl. 40(16): 6241-6252 (2013) - [j3]José Manuel Cadenas
NIP - An Imperfection Processor to Data Mining datasets. Int. J. Comput. Intell. Syst. 6(sup1): 3-17 (2013) - [c13]Raquel Martínez
Imputing missing values from low quality data by NIP tool. FUZZ-IEEE 2013: 1-8 - [c12]José Manuel Cadenas
Improving a Fuzzy Discretization Process by Bagging. IJCCI 2013: 201-212 - [c11]José Manuel Cadenas
Using a Fuzzy Decision Tree Ensemble for Tumor Classification from Gene Expression Data. IJCCI 2013: 320-331 - 2012
- [j2]José Manuel Cadenas
OFP_CLASS: a hybrid method to generate optimized fuzzy partitions for classification. Soft Comput. 16(4): 667-682 (2012) - [j1]José Manuel Cadenas
Extending information processing in a Fuzzy Random Forest ensemble. Soft Comput. 16(5): 845-861 (2012) - [c10]José Manuel Cadenas
A tool to manage low quality datasets. FUZZ-IEEE 2012: 1-8 - [c9]José Manuel Cadenas
Selecting Features from Low Quality Datasets by a Fuzzy Ensemble. IJCCI (Selected Papers) 2012: 229-243 - [c8]José Manuel Cadenas, María del Carmen Garrido, Raquel Martínez:
Towards an Approach to Select Features from Low Quality Datasets. IJCCI 2012: 357-366 - 2011
- [c7]José Manuel Cadenas
Towards the learning from low quality data in a Fuzzy Random Forest ensemble. FUZZ-IEEE 2011: 2897-2904 - [c6]José Manuel Cadenas, M. Carmen Garrido, Raquel Martínez:
Constructing Fuzzy Partitions from Imprecise Data. IJCCI (ECTA-FCTA) 2011: 379-388 - [c5]José Manuel Cadenas
Consensus operators for decision making in Fuzzy Random Forest ensemble. ISDA 2011: 1377-1382 - [c4]José Manuel Cadenas
Learning in a Fuzzy Random Forest ensemble from imperfect data. SMC 2011: 277-282 - 2010
- [c3]José Manuel Cadenas, M. Carmen Garrido, Raquel Martínez, Enrique Muñoz Ballester:
OFP_CLASS: An Algorithm to Generate Optimized Fuzzy Partitions to Classification. IJCCI (ICFC-ICNC) 2010: 5-13 - [c2]José Manuel Cadenas
Generating Optimized Fuzzy Partitions to Classification and Considerations to Management Imprecise Data. IJCCI (Selected Papers) 2010: 151-165
2000 – 2009
- 2009
- [c1]Piero P. Bonissone, José Manuel Cadenas, M. Carmen Garrido, Ramón Andrés Díaz, Raquel Martínez:
Weighted Decisions in a Fuzzy Random Forest. IFSA/EUSFLAT Conf. 2009: 1553-1558
Coauthor Index
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last updated on 2024-10-09 21:27 CEST by the dblp team
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