Latest

• Multiscale Entropy Analysis of Retinal Signals Reveals Reduced Complexity in a Mouse Model of Alzheimer's Disease
• Machine Learning Models and Statistical Complexity to Analyze the Effects of Posture on Cerebral Hemodynamics
• Teoría de la complejidad en sistemas biológicos
• Using complexity-entropy planes to detect Parkinson's disease from short segments of haemodynamic signals
• Retinal Ganglion Cells Functional Changes in a Mouse Model of Alzheimer's Disease Are Linked with Neurotransmitter Alterations
• Entropy/Complexity
• Analysis of cerebral blood flow complexity when listening music with emotional content
• Analysis of cerebral blood flow entropy when listening music with emotional content
• Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?
• Copper price prediction using support vector regression technique
• d-serine regulation of the timing and architecture of the inspiratory burst in neonatal mice
• Recognition of Nausea Patterns by Multichannel Electrogastrography
• Cerebral Hemodynamics Modeling
• Fondecyt 1181659: Models of cerebral hemodynamics to detect Parkinson's Disease and Multiple System Atrophy
• Dynamic cerebral autoregulation reproducibility is affected by physiological variability
• Comparing models of spontaneous variations, maneuvers and indexes to assess dynamic cerebral autoregulation
• Forecast of copper price series using vector support machines
• Non-linear models for the detection of impaired cerebral blood flow autoregulation
• Reproducibility of dynamic cerebral autoregulation parameters: A multi-centre, multi-method study
• A New Strategy to Evaluate Technical Efficiency in Hospitals Using Homogeneous Groups of Casemix: How to Evaluate When There is Not DRGs?
• Feature selection for discrimination between volcanic and tectonic events of the Llaima Volcano (Chile)
• Pattern recognition applied to seismic signals of Llaima volcano (Chile): An evaluation of station-dependent classifiers
• Analysis of the influence of systemic and intracranial pressure in patients with severe head injury using linear and non-linear models
• Dynamic estimation of non invasive intracranial pressure using SVM with external recurrences
• A new model-free index of dynamic cerebral blood flow autoregulation
• Feature analysis for the classification of volcanic seismic events using support vector machines
• Pattern recognition applied to seismic signals of the Llaima volcano (Chile): An analysis of the events' features
• An ecological approach to anomaly detection: The EIA model
• Laparoscopic treatment of obese patients with gastroesophageal reflux disease and Barrett's esophagus: A prospective study
• Empirical evaluation of three machine learning method for automatic classification of neoplastic diagnoses [Evaluación empírica de tres métodos de aprendizaje automático para clasificar automáticamente diagnósticos de neoplasias]
• Gray box model with an SVM to represent the influence of PaCO2 on the cerebral blood flow autoregulation
• Non-linear multivariate modeling of cerebral hemodynamics with autoregressive Support Vector Machines
• A vector model for routing queries in web search engines
• Comparison of artificial neural networks an support vector machines for feature selection in electrogastrography signal processing
• Non-invasive Intracranial Pressure estimation using Support Vector Machine
• Classification of seismic signals at Villarrica volcano (Chile) using neural networks and genetic algorithms
• Comparison between SVM and ANN for modeling the cerebral autoregulation blood flow system
• Detection of patients with functional dyspepsia using wavelet transform applied to their electrogastrogram
• AlterORF: A database of alternate open reading frames
• Getting a direct index of self-regulation for cerebral blood flow changes induced pressure [Obtención directa de un índice de autorregulación de flujo sanguíneo cerebral para cambios inducidos de presión]
• Unconstrained parameter estimation for assessment of dynamic cerebral autoregulation
• Detection of gene expressions in microarrays by applying iteratively elastic neural net
• Modification of the growing neural gas algorithm for cluster analysis
• Support vector machine with external recurrences for modeling dynamic cerebral autoregulation
• A simple feature reduction method for the detection of long biological signals
• Automated testing of aluminum castings using classifier fusion strategies
• Neural grey box model for power estimation in semiautogenous mill
• Nonlinear modeling of dynamic cerebral autoregulation using recurrent neural networks
• Causal networks for modeling health technology utilization in intensive care units
• Neural network method for failure detection with skewed class distribution
• Neural network modelling of dynamic cerebral autoregulation: Assessment and comparison with established methods
• Patients classification by risk using cluster analysis and genetic algorithms
• Prediction of the length of stay in Intensive Care Units using artificial neural networks [Identificación de los determinantes de la estadía en Unidades de Cuidados Intensivos usando redes neuronales artificiales]