JUAN ELOY
ARCO MARTÍN
CONTRATO INVESTIGADOR PROYECTO
DIEGO
CASTILLO BARNES
Chercheur dans le période 2022-2022
Publications dans lesquelles il/elle collabore avec DIEGO CASTILLO BARNES (14)
2023
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Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion, Vol. 100
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Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression
Applied Soft Computing, Vol. 134
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Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data
International Journal of Neural Systems, Vol. 33, Núm. 8
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Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern
International Journal of Neural Systems, Vol. 33, Núm. 4
2022
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Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease
Artificial intelligence in neuroscience: Affective analysis and health applications: 9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31-June 3, 2022, proceedings, Part I (Springer Suiza), pp. 166-175
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Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test
Artificial intelligence in neuroscience: Affective analysis and health applications: 9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31-June 3, 2022, proceedings, Part I (Springer Suiza), pp. 34-43
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Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources
Artificial intelligence in neuroscience: Affective analysis and health applications: 9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31-June 3, 2022, proceedings, Part I (Springer Suiza), pp. 23-33
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CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Ensemble Learning Using Weighted Convolutional Neural Networks for Parkinson's Disease
2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
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Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson’s Disease
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks
Artificial intelligence in neuroscience: Affective analysis and health applications: 9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31-June 3, 2022, proceedings, Part I (Springer Suiza), pp. 156-165
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Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)