Juan Eloy Arco

According to our database, Juan Eloy Arco authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning.

Francisco Jesús Martínez-Murcia, Juan Eloy Arco, Carmen Jimenez-Mesa, Fermín Segovia, Ignacio Álvarez, Javier Ramírez, Juan Manuel Górriz

Int. J. Neural Syst., August, 2024

Identifying HRV patterns in ECG signals as early markers of dementia.

Juan Eloy Arco, Nicolás Gallego-Molina, Andrés Ortiz, Katy Arroyo-Alvis, Pedro Javier Lopez-Perez

Expert Syst. Appl., 2024

A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson's Disease.

Cristóbal Vázquez-García, Francisco Jesús Martínez-Murcia, Juan Eloy Arco, Ignacio A. Illán, Carmen Jiménez-Mesa, Javier Ramírez, Juan Manuel Górriz

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test.

Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders.

Juan Eloy Arco, Nicolás Gallego-Molina, Pedro Javier Lopez-Perez, Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

2023

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.

J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan Zhu, J. M. Ferrández-Vicente

Inf. Fusion, December, 2023

Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification.

Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, Manuel Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan Manuel Górriz

IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data.

Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Carmen Jimenez-Mesa, Juan Eloy Arco, Diego Salas-Gonzalez, Javier Ramírez, J. M. Górriz

Int. J. Neural Syst., August, 2023

Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern.

Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Diego Castillo-Barnes, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz

Int. J. Neural Syst., April, 2023

Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.

Juan Eloy Arco, Andrés Ortiz, Nicolás Gallego-Molina, Juan Manuel Górriz, Javier Ramírez

Int. J. Neural Syst., April, 2023

Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression.

Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez

Appl. Soft Comput., February, 2023

Uncertainty-driven ensembles of multi-scale deep architectures for image classification.

Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yudong Zhang, Juan Manuel Górriz

Inf. Fusion, 2023

2022

Tiled Sparse Coding in Eigenspaces for Image Classification.

Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Yu-Dong Zhang, Juan Manuel Górriz

Int. J. Neural Syst., 2022

Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning.

Andrés Ortiz, Juan Eloy Arco, Marco A. Formoso, Nicolás Gallego-Molina, Ignacio Rodríguez-Rodríguez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Analyzing Statistical Inference Maps Using MRI Images for Parkinson's Disease.

Carmen Jimenez-Mesa, Diego Castillo-Barnes, Juan Eloy Arco, Fermín Segovia, Javier Ramírez, Juan Manuel Górriz

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test.

Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Diego Castillo-Barnes, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson's Disease.

Diego Castillo-Barnes, Juan Eloy Arco, Carmen Jimenez-Mesa, Javier Ramírez, J. M. Górriz, Diego Salas-Gonzalez

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

CAD System for Parkinson's Disease with Penalization of Non-significant or High-Variability Input Data Sources.

Diego Castillo-Barnes, Javier Merino-Chica, R. Garcia-Diaz, Carmen Jimenez-Mesa, Juan Eloy Arco, Javier Ramírez, J. M. Górriz

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks.

Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

2021

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.

Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

ACM Trans. Multim. Comput. Commun. Appl., 2021

Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease.

Juan Eloy Arco, Javier Ramírez, Juan Manuel Górriz, María Ruz

Expert Syst. Appl., 2021

Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images.

Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz

CoRR, 2021

Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images.

Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, Manuel Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan Manuel Górriz

CoRR, 2021

Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.

Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

CoRR, 2021

2020

Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data.

Juan Eloy Arco, Paloma Díaz-Gutiérrez, Javier Ramírez, María Ruz

Neuroinformatics, 2020

Neural representation of current and intended task sets during sequential judgements on human faces.

Paloma Díaz-Gutiérrez, Sam J. Gilbert, Juan Eloy Arco, Alberto Sobrado, María Ruz

NeuroImage, 2020

Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images.

Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Juan Manuel Górriz

CoRR, 2020

2017

Encoding, preparation and implementation of novel complex verbal instructions.

Carlos González-García, Juan Eloy Arco, Ana F. Palenciano, Javier Ramírez, María Ruz

NeuroImage, 2017

2016

Improving short-term prediction from MCI to AD by applying searchlight analysis.

Juan Eloy Arco, Javier Ramírez, Carlos García Puntonet, Juan Manuel Górriz, María Ruz

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Digital image analysis for automatic enumeration of malaria parasites using morphological operations.

Juan Eloy Arco, Juan Manuel Górriz, Javier Ramírez, Ignacio Álvarez, Carlos García Puntonet

Expert Syst. Appl., 2015