JUAN MARIO HAUT HURTADO

Literals

• foaf:firstName
  • JUAN MARIO
• vivo:orcidId
  • 000000016701961X
• foaf:lastName
  • HAUT HURTADO
• aiiso:code
  • 2d72da0e23d9fc443b71a4db71e96383
• ou:dedicacionPDI
  • TIEMPO COMPLETO
• foaf:name
  • JUAN MARIO HAUT HURTADO
• ou:indiceHscopus
  • 28
• ou:dialnetId
  • 4776423
• ou:categoriaPDI
  • 00063-PROFESOR CONTRATADO DOCTOR
• ou:orcidURL
  • http://orcid.org/000000016701961X
• vivo:scopusId
  • 57215636081

Typed Literals

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  • True (xsd:boolean)
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  • True (xsd:boolean)

Relations

• teach:teacherOf
  • ARQUITECTURAS ESPECIALIZADAS
  • ARQUITECTURAS ESPECIALIZADAS
  • ARQUITECTURAS ESPECIALIZADAS
  • COMPUTACIÓN GRÁFICA
  • COMPUTACIÓN GRÁFICA
  • DISEÑO DE SISTEMAS OPERATIVOS
  • DISEÑO DE SISTEMAS OPERATIVOS
  • DISEÑO DE SISTEMAS OPERATIVOS
  • INTRODUCCIÓN A LOS COMPUTADORES
  • SISTEMAS MULTIMEDIA
  • SISTEMAS MULTIMEDIA
  • SISTEMAS MULTIMEDIA
  • TECNOLOGÍA DE COMPUTADORES
  • TECNOLOGÍA DE COMPUTADORES
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• ou:tienePublicacion
  • A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification
  • A New 3D Convolution Network for Hyperspectral Unmixing
  • A New Deep Convolutional Network for Effective Hyperspectral Unmixing
  • A New Max-Min Convolutional Network for Hyperspectral Image Classification
  • A Single Model CNN for Hyperspectral Image Denoising
  • A comparative study of techniques for hyperspectral image classification
  • A navigation agent for mobile manipulators
  • A new GPU implementation of support vector machines for fast hyperspectral image classification
  • A new deep convolutional neural network for fast hyperspectral image classification
  • A new deep generative network for unsupervised remote sensing single-image super-resolution
  • A recommendation system for electronic health records in the context of the HOPE project
  • AAtt-CNN: Automatic Attention-Based Convolutional Neural Networks for Hyperspectral Image Classification
  • ADAPTING KERNELS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
  • Accessibility-Free Active Learning for Hyperspectral Image Classification
  • Active learning with convolutional neural networks for hyperspectral image classification using a new bayesian approach
  • Adaptable convolutional network for hyperspectral image classification
  • Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation
  • An Abundance-Guided Attention Network for Hyperspectral Unmixing
  • An investigation on self-normalized deep neural networks for hyperspectral image classification
  • Analysis of Remotely Sensed Images through Social Media
  • Analyzing the users’ acceptance of an IoT cloud platform using the UTAUT/TAM model
  • AngularGrad: A new optimization technique for angular convergence of convolutional neural networks
  • Background-Guided Deformable Convolutional Autoencoder for Hyperspectral Anomaly Detection
  • Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with Pycircularstats
  • CIT: Content-invariant translation with hybrid attention mechanism for unsupervised change detection
  • Capsule Networks for Hyperspectral Image Classification
  • Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval
  • Cloud Implementation of Multinomial Logistic Regression for UAV Hyperspectral Images
  • Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification
  • Cloud deep networks for hyperspectral image analysis
  • Cloud implementation of the K-means algorithm for hyperspectral image analysis
  • Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection
  • Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification
  • Deep & Dense convolutional neural network for hyperspectral image classification
  • Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product
  • Deep Unrolling Network with Active Dictionary Learning for Hyperspectral Anomaly Detection
  • Deep learning classifiers for hyperspectral imaging: A review
  • Deep mixed precision for hyperspectral image classification
  • Deep pyramidal residual networks for spectral-spatial hyperspectral image classification
  • Detection of cerebral ischaemia using transfer learning techniques
  • Distributed Deep Learning for Remote Sensing Data Interpretation
  • Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising
  • Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution
  • Endmember Estimation from Hyperspectral Images Using Geometric Distances
  • Endmember estimation with maximum distance analysis
  • Enhancing Distributed Neural Network Training Through Node-Based Communications
  • Evaluación de Rendimiento del Entrenamiento Distribuido de Redes Neuronales Profundas en Plataformas Heterogéneas
  • Evaluation of different regularization methods for the extreme learning machine applied to hyperspectral images
  • FLOP-Reduction through Memory Allocations within CNN for Hyperspectral Image Classification
  • Fast Orthogonal Projection for Hyperspectral Unmixing
  • Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines
  • Feature extraction with multiscale covariance maps for hyperspectral image classification
  • GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing
  • GPU-Friendly Neural Networks for Remote Sensing Scene Classification
  • Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification
  • Ghostnet for Hyperspectral Image Classification
  • Hashing for Retrieving Long-Tailed Distributed Remote Sensing Images
  • Heterogeneous gradient computing optimization for scalable deep neural networks
  • Heterogeneous model parallelism for deep neural networks
  • Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
  • Hyperspectral Image Classification Using Random Occlusion Data Augmentation
  • Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview
  • Inter-sensor regression analysis for operational sentinel-2 and sentinel-3 data products
  • Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification
  • MULTIPLE INCREMENTAL KERNEL CONVOLUTION FOR LAND COVER CLASSIFICATION OF REMOTELY SENSED IMAGES
  • Morphological Convolutional Neural Networks for Hyperspectral Image Classification
  • Multibranch Selective Kernel Networks for Hyperspectral Image Classification
  • Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification
  • Multimodal probabilistic latent semantic analysis for Sentinel-1 and Sentinel-2 image fusion
  • Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification
  • Neighboring Region Dropout for Hyperspectral Image Classification
  • Neural Ordinary Differential Equations for Hyperspectral Image Classification
  • Novel Spectral Loss Function for Unsupervised Hyperspectral Image Segmentation
  • Nueva implementación paralela en GPUs del algoritmo pLSA para desmezclado de imágenes hiperespectrales
  • On Training Set Selection in Spatial Deep Learning
  • On the Evaluation of Machine Learning Algorithms for Hyperspectral Image Classification on a Heterogeneous Computing Device
  • Onboard payload-data dimensionality reduction
  • Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
  • Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification
  • Parameter-Free Attention Network for Spectral-Spatial Hyperspectral Image Classification
  • PyCircularStats: A Python-Based Tool for Remote Sensing Circular Statistics and Graphical Analysis
  • QCircularStats: A QGIS-Plugin for Evaluation Bidimensional Data by Circular Statistics
  • Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
  • Remote Sensing Image Superresolution Using Deep Residual Channel Attention
  • Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing
  • Remote sensing single-image superresolution based on a deep compendium model
  • Rotation equivariant convolutional neural networks for hyperspectral image classification
  • Scalable recurrent neural network for hyperspectral image classification
  • Separable Attention Network in Single- And Mixed-Precision Floating Point for Land-Cover Classification of Remote Sensing Images
  • SiCoDeF² Net: Siamese Convolution Deconvolution Feature Fusion Network for One-Shot Classification
  • Solving Deep Neural Networks with Ordinary Differential Equations for Remotely Sensed Hyperspectral Image Classification
  • Spectral-Spatial Morphological Attention Transformer for Hyperspectral Image Classification
  • Studying the students' learning in LoT@UNED
  • Training Capsnets via Active Learning for Hyperspectral Image Classification
  • Training deep neural networks: a static load balancing approach
  • U-IMG2DSM: Unpaired Simulation of Digital Surface Models with Generative Adversarial Networks
  • Visual Attention-Driven Hyperspectral Image Classification
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• ou:perteneceAGrupoInvestigacion
  • Computación Hiperespectral
• ou:imparteDocenciaEnArea
  • ARQUITECTURA Y TECNOLOGÍA DE COMPUTADORES
• ou:adscritoACentro
  • Escuela Politécnica
• ou:adscritoADepartamento
  • TECNOLOGÍA COMPUTADORES Y DE LAS COMUNICACIONES

Inverse Relations

• Has related: ou:autorTesis
  • Nuevas Técnicas Para El Procesamiento Masivo De Datos De Observación Remota De La Tierra
• Has related: ou:directorTesis
  • Optimización De Aplicaciones Científicas Y De Aprendizaje Automático En Entornos De Altas Prestaciones Heterogéneos
  • Procesamiento Eficiente Y Profundo De Imágenes Hiperespectrales Y Aplicación En Tareas De Desmezclado Espectral

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    • swrcfe:project ANALISIS DE IMAGENES HIPERESPECTRALES PARA LA MONITORIZACION DE INFRAESTRUCTURAS HIDRAULICAS",
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    • swrcfe:project CONVENIO DE COLABORACIÓN ENTRE LA UNIVERSIDAD DE EXTREMADURA Y LA S.M.E. INSTITUTO NACIONAL DE CIBERSEGURIDAD DE ESPAÑA M.P., S.A. PARA LA PROMOCIÓN DE PROYECTOS ESTRATÉGICOS DE CIBERSEGURIDAD EN ESPAÑA: PROYECTO ESTRATÉGICO INTELIGENCIA ARTIFICIAL APLICADA A CIBERSEGURIDAD EN INFRAESTRUCTURAS CRÍTICAS DE AGUA Y SANEAMIENTO
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    • swrcfe:project AYUDAS DE MOVILIDAD PARA ESTANCIAS BREVES EN OTROS CENTROS ESPAÑOLES Y EXTRANJEROS Y PARA TRASLADOS TEMPORALES A CENTROS EXTRANJEROS DEL SUBPROGRAMA DE FORMACIÓN DE PROFESORADO UNIVERSITARIO (FPU). HAUT HURTADO, JUAN MARIO
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    • swrcfe:project REDES DE ALERTAS TEMPRANAS, PARA LA TELEDETECCIÓN DE RIESGOS DERIVADOS DEL CAMBIO CLIMÁTICO, POR SATÉLITES DE OBSERVACIÓN DE LA TIERRA PARA RESPUESTA DE PROTECCIÓN CIVIL.
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    • swrcfe:project EL COLOR EN LA ESCULTURA Y ARQUITECTURA DE LA ANTIGÜEDAD CLÁSICA.
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    • swrcfe:project ACCIÓN V PLAN PROPIO UNIVERSIDAD DE EXTREMADURA: "RESERVA DE LA BIOSFERA DE MONFRAGÜE: PLAN DE ACCIÓN DEL TERRITORIO UNESCO."
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