Ginés García-Mateos

Universidad de Murcia

Spain

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Articles (18)

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2025

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2024

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2024

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (9)

Ruben Fernandez-Beltran

Universidad de Murcia

SPAIN

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Rafael Fernandez

Adjunct Professor

Universitat Jaume I

SPAIN

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Juan Manuel Carrillo de Gea

Associate Professor

Universidad de Murcia

SPAIN

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Pedro E. Lopez-de-Teruel

Universidad de Murcia

SPAIN

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José Miguel Molina-Martínez

Universidad Politécnica de Cartagena

SPAIN

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Juan Arribas

Associate Professor

Universidad de Valladolid

SPAIN

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Félix J. García Clemente

Universidad de Murcia

SPAIN

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Dolores Parras Burgos

Assistant Professor

Universidad Politécnica de Cartagena

SPAIN

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Angélica Guzmán-Ponce

Universidad Católica San Antonio de Murcia

SPAIN

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Ginés García-Mateos

Research Interests

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Articles (18)

Symmetry in Explainable AI: A Morphometric Deep Learning Analysis for Skin Lesion Classification

Counterfeit Detection of Iranian Black Tea Using Image Processing and Deep Learning Based on Patched and Unpatched Images

Evaluating Accessibility Solutions in Collective Residential Buildings: Field Research in Southeast Spain

A synthetic shadow dataset of agricultural settings

A Comparative Study of Physically Accurate Synthetic Shadow Datasets in Agricultural Settings with Human Activity

The Development of a Stereo Vision System to Study the Nutation Movement of Climbing Plants

Classification of Healthy and Frozen Pomegranates Using Hyperspectral Imaging and Deep Learning

Attention Mechanisms in Convolutional Neural Networks for Nitrogen Treatment Detection in Tomato Leaves Using Hyperspectral Images

Comparison of 2D and 3D convolutional neural networks in hyperspectral image analysis of fruits applied to orange bruise detection

Metaheuristic algorithms in visible and near infrared spectra to detect excess nitrogen content in tomato plants

Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves

Convolutional Neural Networks for Estimating the Ripening State of Fuji Apples Using Visible and Near-Infrared Spectroscopy

FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming

Estimation of nitrogen content in cucumber plant (Cucumis sativus L.) leaves using hyperspectral imaging data with neural network and partial least squares regressions

One-Dimensional Convolutional Neural Networks for Hyperspectral Analysis of Nitrogen in Plant Leaves

Identification of Internal Defects in Potato Using Spectroscopy and Computational Intelligence Based on Majority Voting Techniques

Early Detection of Excess Nitrogen Consumption in Cucumber Plants Using Hyperspectral Imaging Based on Hybrid Neural Networks and the Imperialist Competitive Algorithm

A systematic mapping study for ensemble classification methods in cardiovascular disease

Collaborators (9)

Ruben Fernandez-Beltran

Rafael Fernandez

Juan Manuel Carrillo de Gea

Pedro E. Lopez-de-Teruel

José Miguel Molina-Martínez

Juan Arribas

Félix J. García Clemente

Dolores Parras Burgos

Angélica Guzmán-Ponce

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