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Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Brain Sciences(1)
Proceedings - 2020 5th International Conference on Computational Intelligence and Applications, ICCIA 2020(1)
Proceedings - 2021 6th International Conference on Computational Intelligence and Applications, ICCIA 2021(1)
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Métodos informáticos especiales(4)
Bioquímica(1)
Escuelas y sus actividades; educación especial(1)
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scopus(5)
Deep Learning Architecture Reduction for fMRI Data
ArticleAbstract: In recent years, deep learning models have demonstrated an inherently better ability to tackle non-lPalabras claves:cnn, Computer Vision, deep learning, Machine learning, Transfer learningAutores:Alvarez-Gonzalez R., Andrés Mendez-VazquezFuentes:scopusDeep residual hashing network for image retrieval
Conference ObjectAbstract: Conventional methods in Content-Based Image Retrieval use hand-crafted visual features as input butPalabras claves:Computer Vision, Content-based Image Retrieval, convolutional neural networks, deep learningAutores:Andrés Mendez-Vazquez, Jimenez-Lepe E.Fuentes:scopusERP Detector using Texture Filters and Tucker Decomposition
Conference ObjectAbstract: Vision is the dominant sensory channel by which humans acquire external information. Understanding hPalabras claves:Computer Vision, FMRI, Machine learning, tucker decompositionAutores:Alvarez-Gonzalez R., Andrés Mendez-VazquezFuentes:scopusOn the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification
Conference ObjectAbstract: Deep learning has shown great promise in diverse areas of computer vision, such as image classificatPalabras claves:Computer Vision, deep learning, Kidney stonesAutores:Andrés Mendez-Vazquez, Daul C., El-Beze J., Flores-Araiza D., Gonzalez-Mendoza M., Hubert J., Lopez-Tiro F., Mendez-Ruiz M., Ochoa-Ruiz G.Fuentes:scopusMaterial Classification Using Non-supervised Segmentation and Transfer Learning
Conference ObjectAbstract: This work presents a new way of classifying materials within a scene. In this work, we propose a wayPalabras claves:Computer Vision, IMAGE PROCESSING, Machine learning, Transfer learningAutores:Alvarez-Gonzalez R., Andrés Mendez-Vazquez, Pena-Llamas L.R.Fuentes:scopus