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Evaluation of remote sensing of vegetation fluorescence by the analysis of diurnal cycles

International journal of remote sensing, 2008-01, Vol.29 (17-18), p.5423-5436

2008

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Composite kernels for hyperspectral image classification

IEEE geoscience and remote sensing letters, 2006-01, Vol.3 (1), p.93-97

2006

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Improved Fraunhofer Line Discrimination Method for Vegetation Fluorescence Quantification

IEEE geoscience and remote sensing letters, 2008-10, Vol.5 (4), p.620-624

2008

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Manual motor speed dysfunction as a neurocognitive endophenotype in euthymic bipolar disorder patients and their healthy relatives. Evidence from a 5-year follow-up study

Journal of affective disorders, 2017-06, Vol.215, p.156-162

2017

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Expert system for predicting unstable angina based on Bayesian networks

Expert systems with applications, 2013-09, Vol.40 (12), p.5004-5010

2013

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BELM: Bayesian Extreme Learning Machine

IEEE transactions on neural networks, 2011-03, Vol.22 (3), p.505-509

2011

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Non-linear RLS-based algorithm for pattern classification

Signal processing, 2006-05, Vol.86 (5), p.1104-1108

2006

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Enhancing decision-based neural networks through local competition

Neurocomputing (Amsterdam), 2006-03, Vol.69 (7), p.905-908

2006

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Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function

Neurocomputing (Amsterdam), 2006-03, Vol.69 (7), p.909-912

2006

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Sensitivity analysis of the fraunhofer line discrimination method for the measurement of chlorophyll fluorescence using a field spectroradiometer

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007, p.3756-3759

2007

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Biophysical parameter estimation with adaptive Gaussian Processes

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009, Vol.4, p.IV-69-IV-72

2009

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Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2011, p.44-49

2011

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Retrieval of oceanic chlorophyll concentration with relevance vector machines

Remote sensing of environment, 2006-11, Vol.105 (1), p.23-33

2006

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Neural networks for analysing the relevance of input variables in the prediction of tropospheric ozone concentration

Atmospheric environment (1994), 2006-10, Vol.40 (32), p.6173-6180

2006

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Empirical study of the modulus as activation function in computer vision applications

Engineering applications of artificial intelligence, 2023-04, Vol.120, p.105863, Article 105863

2023

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LABCENTER. A remote laboratory system platform

IFAC Proceedings Volumes, 2011-01, Vol.44 (1), p.9176-9180

2011

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Hardware Implementation of a Robust Adaptive Filter: Two Approaches based in High-Level Synthesis Design Tools

IFAC Proceedings Volumes, 2009, Vol.42 (21), p.190-194

2009

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Comparison of the sensitivity and specificity of commercial anti-dengue virus IgG tests to identify persons eligible for dengue vaccination

Journal of clinical microbiology, 2024-08

2024

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Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation

Computers in biology and medicine, 2014-02, Vol.45 (C), p.1-7

2014

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BiomedChallenge: Enhancing Student Learning in Data Science

2023 XIII International Conference on Virtual Campus (JICV), 2023, p.1-4

2023

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Configurable Passband Imaging Spectrometer Based on Acousto-optic Tunable Filter

Advanced Concepts for Intelligent Vision Systems, p.206-217

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Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes

2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015, p.480-484

2015

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Evaluation of remote sensing of vegetation fluorescence by the analysis of diurnal cycles

Composite kernels for hyperspectral image classification

Improved Fraunhofer Line Discrimination Method for Vegetation Fluorescence Quantification

Manual motor speed dysfunction as a neurocognitive endophenotype in euthymic bipolar disorder patients and their healthy relatives. Evidence from a 5-year follow-up study

Expert system for predicting unstable angina based on Bayesian networks

BELM: Bayesian Extreme Learning Machine

Non-linear RLS-based algorithm for pattern classification

Enhancing decision-based neural networks through local competition

Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function

Sensitivity analysis of the fraunhofer line discrimination method for the measurement of chlorophyll fluorescence using a field spectroradiometer

Biophysical parameter estimation with adaptive Gaussian Processes

Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach

Retrieval of oceanic chlorophyll concentration with relevance vector machines

Neural networks for analysing the relevance of input variables in the prediction of tropospheric ozone concentration

Empirical study of the modulus as activation function in computer vision applications

LABCENTER. A remote laboratory system platform

Hardware Implementation of a Robust Adaptive Filter: Two Approaches based in High-Level Synthesis Design Tools

Comparison of the sensitivity and specificity of commercial anti-dengue virus IgG tests to identify persons eligible for dengue vaccination

Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation

BiomedChallenge: Enhancing Student Learning in Data Science

Configurable Passband Imaging Spectrometer Based on Acousto-optic Tunable Filter

Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes

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