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ORCIDJuan Eloy Arco
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Journal Articles
- 2024
[j16]Juan Eloy Arco
, Nicolás Gallego-Molina, Andrés Ortiz, Katy Arroyo-Alvis, Pedro Javier Lopez-Perez:
Identifying HRV patterns in ECG signals as early markers of dementia. Expert Syst. Appl. 243: 122934 (2024)- [j15]Francisco Jesús Martínez-Murcia, Juan Eloy Arco, Carmen Jimenez-Mesa, Fermín Segovia, Ignacio Álvarez, Javier Ramírez, Juan Manuel Górriz:
Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning. Int. J. Neural Syst. 34(8): 2450043:1-2450043:16 (2024) - 2023
- [j14]Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez:
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression. Appl. Soft Comput. 134: 109991 (2023) - [j13]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:
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern. Int. J. Neural Syst. 33(4): 2350015:1-2350015:16 (2023) - [j12]Juan Eloy Arco, Andrés Ortiz, Nicolás Gallego-Molina, Juan Manuel Górriz, Javier Ramírez:
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism. Int. J. Neural Syst. 33(4): 2350019:1-2350019:18 (2023) - [j11]Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Carmen Jimenez-Mesa, Juan Eloy Arco, Diego Salas-Gonzalez, Javier Ramírez, J. M. Górriz:
Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data. Int. J. Neural Syst. 33(8): 2350041:1-2350041:20 (2023) - [j10]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yudong Zhang, Juan Manuel Górriz:
Uncertainty-driven ensembles of multi-scale deep architectures for image classification. Inf. Fusion 89: 53-65 (2023) - [j9]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, S. H. Wang, Wei Wang, Y. D. Zhang, Hengde Zhu, Z. Zhu, J. M. Ferrández-Vicente:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - [j8]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:
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1431-1441 (2023) - 2022
- [j7]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Yu-Dong Zhang, Juan Manuel Górriz:
Tiled Sparse Coding in Eigenspaces for Image Classification. Int. J. Neural Syst. 32(3): 2250007:1-2250007:22 (2022) - 2021
- [j6]Juan Eloy Arco, Javier Ramírez, Juan Manuel Górriz, María Ruz:
Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease. Expert Syst. Appl. 185: 115549 (2021) - [j5]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:
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (2021) - 2020
- [j4]Paloma Díaz-Gutiérrez, Sam J. Gilbert, Juan Eloy Arco, Alberto Sobrado, María Ruz:
Neural representation of current and intended task sets during sequential judgements on human faces. NeuroImage 204 (2020) - [j3]Juan Eloy Arco, Paloma Díaz-Gutiérrez, Javier Ramírez, María Ruz:
Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data. Neuroinformatics 18(2): 219-236 (2020) - 2017
- [j2]Carlos González-García, Juan Eloy Arco, Ana F. Palenciano, Javier Ramírez, María Ruz:
Encoding, preparation and implementation of novel complex verbal instructions. NeuroImage 148: 264-273 (2017) - 2015
- [j1]Juan Eloy Arco, Juan Manuel Górriz, Javier Ramírez, Ignacio Álvarez, Carlos García Puntonet:
Digital image analysis for automatic enumeration of malaria parasites using morphological operations. Expert Syst. Appl. 42(6): 3041-3047 (2015)
Conference and Workshop Papers
- 2024
- [c10]Cristóbal Vázquez-García, Francisco Jesús Martínez-Murcia, Juan Eloy Arco, Ignacio A. Illán, Carmen Jiménez-Mesa, Javier Ramírez, Juan Manuel Górriz:
A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson's Disease. IWINAC 2024: 78-87 - [c9]Juan Eloy Arco, Nicolás Gallego-Molina, Pedro Javier Lopez-Perez, Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz:
Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders. IWINAC 2024: 118-127 - [c8]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:
A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test. IWINAC 2024: 191-200 - 2022
- [c7]Diego Castillo-Barnes, Javier Merino-Chica, R. Garcia-Diaz, Carmen Jimenez-Mesa, Juan Eloy Arco, Javier Ramírez, J. M. Górriz:
CAD System for Parkinson's Disease with Penalization of Non-significant or High-Variability Input Data Sources. IWINAC (1) 2022: 23-33 - [c6]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:
Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test. IWINAC (1) 2022: 34-42 - [c5]Andrés Ortiz, Juan Eloy Arco, Marco A. Formoso, Nicolás Gallego-Molina, Ignacio Rodríguez-Rodríguez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez:
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning. IWINAC (1) 2022: 95-103 - [c4]Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez:
Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks. IWINAC (1) 2022: 156-165 - [c3]Carmen Jimenez-Mesa, Diego Castillo-Barnes, Juan Eloy Arco, Fermín Segovia, Javier Ramírez, Juan Manuel Górriz:
Analyzing Statistical Inference Maps Using MRI Images for Parkinson's Disease. IWINAC (1) 2022: 166-175 - [c2]Diego Castillo-Barnes, Juan Eloy Arco, Carmen Jimenez-Mesa, Javier Ramírez, J. M. Górriz, Diego Salas-Gonzalez:
Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson's Disease. IWINAC (1) 2022: 176-186 - 2016
- [c1]Juan Eloy Arco, Javier Ramírez, Carlos García Puntonet, Juan Manuel Górriz, María Ruz:
Improving short-term prediction from MCI to AD by applying searchlight analysis. ISBI 2016: 10-13
Informal and Other Publications
- 2021
- [i4]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:
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021) - [i3]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:
Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images. CoRR abs/2103.02961 (2021) - [i2]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz:
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images. CoRR abs/2106.14724 (2021) - 2020
- [i1]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Juan Manuel Górriz:
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images. CoRR abs/2011.14894 (2020)
Coauthor Index
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