Elegir campos a generar del autor Siham

Datos personales Todos / Ninguno
Correo Electrónico
Artículos Todos / Ninguno
Bidirectional Recurrent Imputation and Abundance Estimation of LULC Classes With MODIS Multispectral Time-Series and Geo-Topographic and Climatic Data
What is the best RNN-cell structure to forecast each time series behavior?
TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning
Human pose estimation for mitigating false negatives in weapon detection in video-surveillance
Climate legacies drive the distribution and future restoration potential of dryland forests
VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera
Forest restoration is more than firing seeds from a drone
Classifying the content of social media images to support cultural ecosystem service assessments using deep learning models
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
Sentinel2GlobalLULC: A deep-learning-ready Sentinel-2 RGB image dataset for global land use/cover mapping
MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification
CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study
Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN
Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors
Explainable Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Tree cover estimation in global drylands from space using deep learning
A data relocation approach for terrain surface analysis on multi-GPU systems: a case study on the total viewshed problem
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. ensembles overview and proposal
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems
Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance
Deep learning in video multi-object tracking: A survey
Tree Cover Estimation in Global Drylands from Space Using Deep Learning
A binocular image fusion approach for minimizing false positives in handgun detection with deep learning
Deep recurrent neural network for geographical entities disambiguation on social media data
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning
Whale counting in satellite and aerial images with deep learning
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks
Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning
A tuning approach for iterative multiple 3d stencil pipeline on GPUs: Anisotropic Nonlinear Diffusion algorithm as case study
Automatic handgun detection alarm in videos using deep learning
Deep-learning Versus OBIA for scattered shrub detection with Google Earth Imagery: Ziziphus lotus as case study
Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study
Total 3D-viewshed Map: Quantifying the Visible Volume in Digital Elevation Models
Automatic Handgun Detection Alarm in Videos Using Deep Learning
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST
Demystifying the 16 x 16 thread-block for stencils on the GPU
Efficient data structure and highly scalable algorithm for total-viewshed computation
Performance evaluation of kernel fusion BLAS routines on the GPU: iterative solvers as case study
Optimal tilt and orientation maps: A multi-algorithm approach for heterogeneous multicore-GPU systems
Numerical simulations of dynamics and emission from relativistic astrophysical jets
Simultaneous computation of total viewshed on large high resolution grids
VLBI-resolution radio-map algorithms: Performance analysis of different levels of data-sharing on multi-socket, multi-core architectures
High-performance three-horizon composition algorithm for large-scale terrains
Evaluating the consistency of the 1982-1999 NDVI trends in the Iberian Peninsula across four time-series derived from the AVHRR sensor: LTDR, GIMMS, FASIR, and PAL-II
Fast clear-sky solar irradiation computation for very large digital elevation models
On a model of three-dimensional bursting and its parallel implementation
Three-dimensional bursting and parallel computing
High performance noise reduction for biomedical multidimensional data
Multiprocessing of anisotropic nonlinear diffusion for filtering 3D images
Libros, capítulos, tesis Todos / Ninguno
A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering
A data partitioning model for highly heterogeneous systems
Fast insolation computation in large territories
Three-dimensional bursting simulation on two parallel systems
Parallel computing of partial differential equations based-applications
Evaluation of parallel paradigms on anisotropic nonlinear diffusion
Parallel simulation of three-dimensional bursting with MPI and OpenMP
Distribuciones de datos basadas en valores para matrices dispersas: dos soluciones basadas en permutaciones
Conferencias Todos / Ninguno
Action Recognition for Anomaly Detection Using Transfer Learning and Deep Architectures
Segmentation of olive trees using mask R-CNN architecture
A first study exploring the performance of the state-of-the art cnn model in the problem of breast cancer
Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics
3D-viewshed map: A measure of landscape deepness
Siting Multiple Observers for Maximum Coverage: An Accurate Approach
Anisotropic Nonlinear Diffusion for Filtering 3D Images On GPUs
A Job Scheduling Approach for Multi-core Clusters Based on Virtual Malleability
A fast GIS-tool to compute the maximum solar energy on very large terrains
Spectral evolution simulation on leading multi-socket, multicore platforms
Load balancing using work-stealing for pipeline parallelismin emerging applications
Analytical modeling of pipeline parallelism
Analysis of the interaction of electromagnetic signals with thin-wires structures. Multiprocessing issues for an iterative method
Multiprocessing of the time domain analysis of thin-wire antennas and scatterers
Informes y otros Todos / Ninguno
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations
Métricas del autor Todos / Ninguno
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