Javier
Roca Pardiñas
Publications by the researcher in collaboration with Javier Roca Pardiñas (30)
2024
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3D Point Cloud Semantic Segmentation Through Functional Data Analysis
Journal of Agricultural, Biological, and Environmental Statistics, Vol. 29, Núm. 4, pp. 723-744
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A generalized additive model (GAM) approach to principal component analysis of geographic data
Spatial Statistics, Vol. 59
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Regression analysis with spatially-varying coefficients using generalized additive models (GAMs)
Chemometrics and Intelligent Laboratory Systems, Vol. 255
2022
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A method for determining groups in nonparametric regression curves: Application to prefrontal cortex neural activity analysis
Mathematical Biosciences and Engineering, Vol. 19, Núm. 7, pp. 6435-6454
2021
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A distance correlation approach for optimum multiscale selection in 3d point cloud classification
Mathematics, Vol. 9, Núm. 12
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Influence of the Number and Spatial Distribution of Ground Control Points in the Accuracy of UAV-SfM DEMs: An Approach Based on Generalized Additive Models
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, Núm. 12, pp. 10618-10627
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Nonparametric location–scale model for the joint forecasting of SO 2 and NO x pollution episodes
Stochastic Environmental Research and Risk Assessment, Vol. 35, Núm. 2, pp. 231-244
2020
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Evaluating Lightning-Caused Fire Occurrence Using Spatial Generalized Additive Models: A Case Study in Central Spain
Risk Analysis, Vol. 40, Núm. 7, pp. 1418-1437
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Functional location-scale model to forecast bivariate pollution episodes
Mathematics, Vol. 8, Núm. 6
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Real-time tomographic reconstructor based on convolutional neural networks for solar observation
Mathematical Methods in the Applied Sciences
2019
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A hybrid ARIMA–SVM model for the study of the remaining useful life of aircraft engines
Journal of Computational and Applied Mathematics, Vol. 346, pp. 184-191
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Multiscale supervised classification of point clouds with urban and forest applications
Sensors (Switzerland), Vol. 19, Núm. 20
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Predicting pollution incidents through semiparametric quantile regression models
Stochastic Environmental Research and Risk Assessment, Vol. 33, Núm. 3, pp. 673-685
2018
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Determining optimum wavelengths for leaf water content estimation from reflectance: A distance correlation approach
Chemometrics and Intelligent Laboratory Systems, Vol. 173, pp. 41-50
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Geographically Weighted Principal Components Analysis to assess diffuse pollution sources of soil heavy metal: Application to rough mountain areas in Northwest Spain
Geoderma, Vol. 311, pp. 120-129
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Un test estadístico para analizar la variabilidad espacial de los datos usando componentes principales geográficamente ponderadas
Livro de Atas III Encontro Luso-Galaico de Biometria DMat, Univ. Aveiro 28 - 30 junho 2018 (Sociedade Portuguesa de Estatística), pp. 150-153
2017
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Assessing planar asymmetries in shipbuilding from point clouds
Measurement: Journal of the International Measurement Confederation, Vol. 100, pp. 252-261
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Testing spatial heterogeneity in geographically weighted principal components analysis
International Journal of Geographical Information Science, Vol. 31, Núm. 4, pp. 676-693
2016
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Deformation analysis in tunnels through curve clustering
Applied Mathematical Modelling, Vol. 40, Núm. 2, pp. 1325-1332
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Forecasting SO2 pollution incidents by means of quantile curves based on additive models
Environmetrics, Vol. 27, Núm. 3, pp. 147-157