Raquel Martínez

Orcid: 0000-0002-6750-2203

Affiliations:
  • Catholic University of Murcia, Department of Computer Engineering, Spain


According to our database1, Raquel Martínez authored at least 61 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Evaluation of synthetic data generation for intelligent climate control in greenhouses.
Appl. Intell., November, 2023

SEPARATE: A tightly coupled, seamless IoT infrastructure for deploying AI algorithms in smart agriculture environments.
Internet Things, July, 2023

Evaluation of low-power devices for smart greenhouse development.
J. Supercomput., June, 2023

A Methodology Based on Machine Learning and Soft Computing to Design More Sustainable Agriculture Systems.
Sensors, March, 2023

Data-driven evaluation of machine learning models for climate control in operational smart greenhouses.
J. Ambient Intell. Smart Environ., 2023

Preface to the Proceedings of the 3rd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'23).
Proceedings of the Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023), 2023

A real-time traffic alert system based on image recognition: A case of study in Spain.
Proceedings of the 19th International Conference on Intelligent Environments, 2023

Estimation of Chl-a in highly anthropized environments using machine learning and remote sensing.
Proceedings of the 19th International Conference on Intelligent Environments, 2023

2022
Preface to the Proceedings of ALLEGET'22.
Proceedings of the Workshops at 18th International Conference on Intelligent Environments (IE2022), 2022

2021
Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning.
J. Supercomput., 2021

A high-performance IoT solution to reduce frost damages in stone fruits.
Concurr. Comput. Pract. Exp., 2021

Preface to the Proceedings of 1st International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'21).
Proceedings of the Intelligent Environments 2021, 2021

2020
Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network.
Sensors, 2020

A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers.
Sensors, 2020

A deep learning model to predict lower temperatures in agriculture.
J. Ambient Intell. Smart Environ., 2020

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., 2020

A Fine-Grained Model to Assess Learner-Content and Methodology Satisfaction in Distance Education.
Int. J. Interact. Multim. Artif. Intell., 2020

Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique.
Expert Syst. Appl., 2020

Making decisions for frost prediction in agricultural crops in a soft computing framework.
Comput. Electron. Agric., 2020

Towards the Characterization of Agricultural Regions Based on Weather Conditions - Sustainable Agriculture.
Proceedings of the Intelligent Environments 2020, 2020

2019
Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques.
Proceedings of the Agriculture and Environment Perspectives in Intelligent Systems, 2019

Minimum Temperature Prediction Models in Plots to Forecast Frost in Crops.
Proceedings of the Agriculture and Environment Perspectives in Intelligent Systems, 2019

Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students' Performance.
Sensors, 2019

Analysis of student behavior in learning management systems through a Big Data framework.
Future Gener. Comput. Syst., 2019

An LSTM Deep Learning Scheme for Prediction of Low Temperatures in Agriculture.
Proceedings of the Intelligent Environments 2019, 2019

2018
A fuzzy K-nearest neighbor classifier to deal with imperfect data.
Soft Comput., 2018

Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain.
J. Univers. Comput. Sci., 2018

A k-nearest neighbors based approach applied to more realistic activity recognition datasets.
J. Ambient Intell. Smart Environ., 2018

An unsupervised technique to discretize numerical values by fuzzy partitions.
J. Ambient Intell. Smart Environ., 2018

Studying lecturers' behaviour patterns in Learning Management System on different training modalities and knowledge areas.
EAI Endorsed Trans. e Learn., 2018

A Preliminary Study to Solve Crop Frost Prediction Using an Intelligent Data Analysis Process.
Proceedings of the Intelligent Environments 2018, 2018

Analysis of Lecturers' Behavior Through the Use of Learning Management Systems: A Case Study in Computer Engineering.
Proceedings of the Intelligent Environments 2018, 2018

Deep Learning Approach for Classifying Papanicolau Cervical Smears.
Proceedings of the 47th International Conference on Parallel Processing, 2018

2017
Bioinspired Architecture Selection for Multitask Learning.
Frontiers Neuroinformatics, 2017

Evolutionary strategies as applied to shear strain effects in reinforced concrete beams.
Appl. Soft Comput., 2017

Influence of Multivariate Modeling in the Prediction of Soil Carbon by a Portable Infrared Sensor.
Proceedings of the Intelligent Environments 2017, 2017

IoT-based System to Forecast Crop Frost.
Proceedings of the 2017 International Conference on Intelligent Environments, 2017

Searching for Behavior Patterns of Students in Different Training Modalities through Learning Management Systems.
Proceedings of the 2017 International Conference on Intelligent Environments, 2017

A More Realistic K-Nearest Neighbors Method and Its Possible Applications to Everyday Problems.
Proceedings of the 2017 International Conference on Intelligent Environments, 2017

Discretizing Numerical Values by a Fuzzy Clustering Technique.
Proceedings of the 2017 International Conference on Intelligent Environments, 2017

2015
Classification based on Neighborhood from Datasets with Low Quality Data.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

GASRP-FP: A hybrid metaheuristic to solve fuzzy portfolio selection with non-financial goals.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Measuring Data Imperfection in a Neighborhood Based Method.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
The experimenter environment of the NIP imperfection processor.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
NIP - An Imperfection Processor to Data Mining datasets.
Int. J. Comput. Intell. Syst., 2013

Feature subset selection Filter-Wrapper based on low quality data.
Expert Syst. Appl., 2013

Using a Fuzzy Decision Tree Ensemble for Tumor Classification from Gene Expression Data.
Proceedings of the IJCCI 2013, 2013

Improving a Fuzzy Discretization Process by Bagging.
Proceedings of the IJCCI 2013, 2013

Imputing missing values from low quality data by NIP tool.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Extending information processing in a Fuzzy Random Forest ensemble.
Soft Comput., 2012

OFP_CLASS: a hybrid method to generate optimized fuzzy partitions for classification.
Soft Comput., 2012

Selecting Features from Low Quality Datasets by a Fuzzy Ensemble.
Proceedings of the Computational Intelligence - International Joint Conference, 2012

Towards an Approach to Select Features from Low Quality Datasets.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

A tool to manage low quality datasets.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Learning in a Fuzzy Random Forest ensemble from imperfect data.
Proceedings of the IEEE International Conference on Systems, 2011

Consensus operators for decision making in Fuzzy Random Forest ensemble.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Constructing Fuzzy Partitions from Imprecise Data.
Proceedings of the ECTA and FCTA 2011, 2011

Towards the learning from low quality data in a Fuzzy Random Forest ensemble.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
OFP_CLASS: An Algorithm to Generate Optimized Fuzzy Partitions to Classification.
Proceedings of the ICFC-ICNC 2010, 2010

Generating Optimized Fuzzy Partitions to Classification and Considerations to Management Imprecise Data.
Proceedings of the Computational Intelligence, 2010

2009
Weighted Decisions in a Fuzzy Random Forest.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009


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