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Feasibility, clinical efficacy, and maternal outcomes of a remote exercise program in pregnant women with obesity: the GROB randomized control pilot study
(IMP Press, 2024-03-15)[Abstract] Background: Obesity is common in women of reproductive age and increases the risk during pregnancy. Exercising during this period reduces health complications. Home e-health programs are effective in overcoming ... -
Feasibility, efficacy and safety of early lens extraction in patients with pseudoexfoliation glaucoma: a feasibility and pilot study
(Springer Nature, 2023-09)[Abstract]:PURPOSE: To evaluate the feasibility of a trial to compare the efficacy and safety of initial lens extraction surgery versus medical treatment for people with pseudoexfoliation glaucoma (PXFG) or ocular ... -
Feature Definition and Comprehensive Analysis on the Robust Identification of Intraretinal Cystoid Regions Using Optical Coherence Tomography Images
(Springer, 2022)[Abstract] Currently, optical coherence tomography is one of the most used medical imaging modalities, offering cross-sectional representations of the studied tissues. This image modality is specially relevant for the ... -
Feature Definition and Selection for Epiretinal Membrane Characterization in Optical Coherence Tomography Images
(Springer, 2017-10)[Absctract]: Optical Coherence Tomography (OCT) is a common imaging technique for the detection and analysis of optical diseases, since it is a non invasive method that generates in vivo a cross-sectional visualization of ... -
Feature definition, analysis and selection for cystoid region characterization in Optical Coherence Tomography
(Elsevier B.V., 2017)[Abstract]: Optical Coherence Tomography (OCT) is, nowadays, a clinical standard imaging technique in opthalmology as it provides more information than other classical modalities as can be, for instance, retinographies. ... -
Feature selection and novelty in computational aesthetics
(Springer, 2013)[Abstract] An approach for exploring novelty in expression-based evolutionary art systems is presented. The framework is composed of a feature extractor, a classifier, an evolutionary engine and a supervisor. The evolutionary ... -
Feature selection for domain adaptation using complexity measures and swarm intelligence
(Elsevier B.V., 2023-09-01)[Abstract]: Particle Swarm Optimization is an optimization algorithm that mimics the behaviour of a flock of birds, setting multiple particles that explore the search space guided by a fitness function in order to find the ... -
Feature Selection in Big Image Datasets
(MDPI AG, 2020-08-24)[Abstract] In computer vision, current feature extraction techniques generate high dimensional data. Both convolutional neural networks and traditional approaches like keypoint detectors are used as extractors of high-level ... -
Feature Selection With Limited Bit Depth Mutual Information for Embedded Systems
(MDPI AG, 2018-09-17)[Abstract] Data is growing at an unprecedented pace. With the variety, speed and volume of data flowing through networks and databases, newer approaches based on machine learning are required. But what is really big in Big ... -
Feature selection with limited bit depth mutual information for portable embedded systems
(Elsevier, 2020-06)[Abstract]: Since wearable computing systems have grown in importance in the last years, there is an increased interest in implementing machine learning algorithms with reduced precision parameters/computations. Not only ... -
Features of Extrinsic Plantar Muscles in Patients with Plantar Fasciitis by Ultrasound Imaging: A Retrospective Case Control Research
(MDPI, 2022-04)[Abstract] The present study aimed to compare by ultrasound imaging (USI) the tibial posterior (TP), medial gastrocnemius (MG) and soleus muscle in patients with and without plantar fasciitis (PF). A sample of 42 individuals ... -
Fecundaciones, infecciones, excitaciones extrañas: imágenes de la modernidad entre siglos
(2018)[Resumen] El título resume algunas estrategias discursivas sobre la recepción de novedades literarias en la España del XIX y apunta a los límites de la modernidad desde la segunda mitad. Interesa indagar en los significados ... -
Fecundación in vitro de gametos de lapa
(2014)La evaluación de Patella depressa Pennant, 1777 como organismo indicador de la calidad ambiental de los ecosistemas marinos, mediante su uso como organismo prueba en un bioensayo embriolarvario, hace necesario un primer ... -
Fed-mRMR: A lossless federated feature selection method
(Elsevier, 2024-05)[Abstract]: Feature selection has become a mandatory task in data mining, due to the overwhelming amount of features in Big Data problems. To handle this high-dimensional data and avoid the well-known curse of dimensionality, ... -
Federalismo y Estado Autonómico
(Universidade da Coruña, 2002) -
Federalismo, regionalismo y descentralización del poder: una perspectiva comparada
(Universidade da Coruña, 2006)[Resumen] El estudio de las tendencias vigentes en el derecho comparado nos revela la pérdida de nitidez de los contornos de la clásica contraposición entre federalismos y regionalismos, tomando en cuenta las parciales ... -
FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks
(Elsevier B.V., 2023)[Abstract]: Federated learning (FL) is a distributed approach to developing collaborative learning models from decentralized data. This is relevant to many real applications, such as in the field of the Internet of Things, ... -
Feedback control of stochastic gene switches using PIDE models
(Elsevier, 2022)[Abstract]: Achieving control of gene regulatory circuits is one of the goals of synthetic biology, as a way to regulate cellular functions for useful purposes (in biomedical, environmental or industrial applications). The ... -
Feeding of the spider crab Maja squinado in rocky subtidal areas of the Ría de Arousa (Galicia, NW Spain)
(Cambridge University Press, 2000)
