PUBLICACIÓN

Computational diagnosis of Parkinson's Disease from speech based on regularization methods

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Campos-Roca Y., Naranjo L., Calle-Alonso F., Perez C.J.

2018 European Signal Processing Conference

Signal Processing, Electrical and Electronic Engineering

SJR: 0.19

CITAS

5

DOI

10.23919/eusipco.2018.8553505

EID

2-s2.0-85059804260

ISSN

2219-5491

ISBN

9789082797015

BIBTEX

@article{Pérez Sánchez2018,title = {Computational diagnosis of Parkinson{'}s Disease from speech based on regularization methods},journal = {European Signal Processing Conference},year = {2018},volume = {2018-September},pages = {1127-1131},author = {Campos-Roca, Y. and Naranjo, L. and Calle-Alonso, F. and P{\'e}rez, C.J.}}

AUTORES DE LA UEX

Carlos Javier Pérez Sánchez
Yolanda Campos Roca
Fernando Calle Alonso

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A D-Band Balanced Subharmonically-Pumped Resistive Mixer Based On 100-Nm Mhemt Technology
Am-Pm Conversion In A W-Band Frequency Quadrupler
A D-Band Balanced Subharmonically-Pumped Resistive Mixer Based On 100-Nm Mhemt Technology
Am-Pm Conversion In A W-Band Frequency Quadrupler
New Approaches To Compute Bayes Factor In Finite Mixture Models
Am-Pm Conversion In A W-Band Frequency Quadrupler
New Approaches To Compute Bayes Factor In Finite Mixture Models
Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
New Approaches To Compute Bayes Factor In Finite Mixture Models
Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
A Note On The Prior Parameter Choice In Finite Mixture Models Of Distributions From Exponential Families
Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
A Note On The Prior Parameter Choice In Finite Mixture Models Of Distributions From Exponential Families
Poster: A Novel Content-Based Image Retrieval System Based On Bayesian Logistic Regression
A Note On The Prior Parameter Choice In Finite Mixture Models Of Distributions From Exponential Families
Poster: A Novel Content-Based Image Retrieval System Based On Bayesian Logistic Regression
Combinando Opiniones De Expertos Mediante Mixturas De Distribuciones A Priori
Poster: A Novel Content-Based Image Retrieval System Based On Bayesian Logistic Regression
Combinando Opiniones De Expertos Mediante Mixturas De Distribuciones A Priori
Collaborative Project Based Learning For A Statistics Course
Combinando Opiniones De Expertos Mediante Mixturas De Distribuciones A Priori
Collaborative Project Based Learning For A Statistics Course
Aplicación De Técnicas De Aprendizaje Colaborativo Basado En Proyectos A La Docencia De Estadística En Ciencias Veterinarias
Collaborative Project Based Learning For A Statistics Course
Aplicación De Técnicas De Aprendizaje Colaborativo Basado En Proyectos A La Docencia De Estadística En Ciencias Veterinarias
Análisis Bayesiano De Datos Mal Clasificados En Presencia De Covariables
Aplicación De Técnicas De Aprendizaje Colaborativo Basado En Proyectos A La Docencia De Estadística En Ciencias Veterinarias
Análisis Bayesiano De Datos Mal Clasificados En Presencia De Covariables
Inference On Exponential Families With Mixture Of Prior Distributions
Análisis Bayesiano De Datos Mal Clasificados En Presencia De Covariables
Inference On Exponential Families With Mixture Of Prior Distributions
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
Inference On Exponential Families With Mixture Of Prior Distributions
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
Bayesian Analysis Of A Generalized Lognormal Distribution
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
Bayesian Analysis Of A Generalized Lognormal Distribution
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
Bayesian Analysis Of A Generalized Lognormal Distribution
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
Modeling Experts' Opinions By Using Bayesian Mixture Models For A Subclass Of The Exponential Family
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
Modeling Experts' Opinions By Using Bayesian Mixture Models For A Subclass Of The Exponential Family
Application Of A Generalized Lognormal Distribution To Engineering Data Fitting
Modeling Experts' Opinions By Using Bayesian Mixture Models For A Subclass Of The Exponential Family
Application Of A Generalized Lognormal Distribution To Engineering Data Fitting
A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
Application Of A Generalized Lognormal Distribution To Engineering Data Fitting
A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
A Bayesian Model For Multinomial Sampling With Misclassified Data
Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
A Bayesian Model For Multinomial Sampling With Misclassified Data
An Interactive Tool For Mpeg-1 Audio Compression
A Bayesian Model For Multinomial Sampling With Misclassified Data
An Interactive Tool For Mpeg-1 Audio Compression
La Estadística Visual Como Herramienta Didáctica En La Asignatura Matemáticas De Una Licenciatura En Veterinaria
An Interactive Tool For Mpeg-1 Audio Compression
La Estadística Visual Como Herramienta Didáctica En La Asignatura Matemáticas De Una Licenciatura En Veterinaria
Una Generalización De La Lognormal: Ajuste De Tiempos De Vida
La Estadística Visual Como Herramienta Didáctica En La Asignatura Matemáticas De Una Licenciatura En Veterinaria
Una Generalización De La Lognormal: Ajuste De Tiempos De Vida
Rage: A Java-Implemented Visual Random Generator
Una Generalización De La Lognormal: Ajuste De Tiempos De Vida
Rage: A Java-Implemented Visual Random Generator
Qatris Imanager, Un Sistema Cbir Basado En Regresión Logística
Rage: A Java-Implemented Visual Random Generator
Qatris Imanager, Un Sistema Cbir Basado En Regresión Logística
Bayesian Analysis Of Finite Mixtures Of Multinomial And Negative-Multinomial Distributions
Qatris Imanager, Un Sistema Cbir Basado En Regresión Logística
Bayesian Analysis Of Finite Mixtures Of Multinomial And Negative-Multinomial Distributions
Bayesian Analysis Of Finite Mixture Models Of Distributions From Exponential Families
Bayesian Analysis Of Finite Mixtures Of Multinomial And Negative-Multinomial Distributions
Bayesian Analysis Of Finite Mixture Models Of Distributions From Exponential Families
Mcmc-Based Local Parametric Sensitivity Estimations
Bayesian Analysis Of Finite Mixture Models Of Distributions From Exponential Families
Mcmc-Based Local Parametric Sensitivity Estimations
Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
Mcmc-Based Local Parametric Sensitivity Estimations
Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
G-Band Metamorphic Hemt-Based Frequency Multipliers
Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
G-Band Metamorphic Hemt-Based Frequency Multipliers
Quasi-Random Sampling Importance Resampling
G-Band Metamorphic Hemt-Based Frequency Multipliers
Quasi-Random Sampling Importance Resampling
A D-Band Frequency Doubler Mmic Based On A 100-Nm Metamorphic Hemt Technology
Quasi-Random Sampling Importance Resampling
A D-Band Frequency Doubler Mmic Based On A 100-Nm Metamorphic Hemt Technology
Simulación Hacia Adelante Ponderada En Diseños Secuenciales Bayesianos
A D-Band Frequency Doubler Mmic Based On A 100-Nm Metamorphic Hemt Technology
Simulación Hacia Adelante Ponderada En Diseños Secuenciales Bayesianos
Aproximación De Distribuciones A Posteriori Utilizando El Método De Cociente De Uniformes
Simulación Hacia Adelante Ponderada En Diseños Secuenciales Bayesianos
Aproximación De Distribuciones A Posteriori Utilizando El Método De Cociente De Uniformes
Millimeter-Wave Active Mmic Frequency Multipliers
Aproximación De Distribuciones A Posteriori Utilizando El Método De Cociente De Uniformes
Millimeter-Wave Active Mmic Frequency Multipliers
Comparison Of Two Clinical Scales For Causality Assessment In Hepatotoxicity
Millimeter-Wave Active Mmic Frequency Multipliers
Comparison Of Two Clinical Scales For Causality Assessment In Hepatotoxicity
A Simplified Broad-Band Large-Signal Nonquasi-Static Table-Based Fet Model
Comparison Of Two Clinical Scales For Causality Assessment In Hepatotoxicity
A Simplified Broad-Band Large-Signal Nonquasi-Static Table-Based Fet Model
Extraction Of Transistor Large Signal Models From Vector Nonlinear Network Analyzers
A Simplified Broad-Band Large-Signal Nonquasi-Static Table-Based Fet Model
Extraction Of Transistor Large Signal Models From Vector Nonlinear Network Analyzers
Direct Extraction Of Nonlinear Fet Q—v Functions From Time Domain Large Signal Measurements
Extraction Of Transistor Large Signal Models From Vector Nonlinear Network Analyzers
Direct Extraction Of Nonlinear Fet Q—v Functions From Time Domain Large Signal Measurements
38/76 Ghz Phemt Mmic Balanced Frequency Doublers In Coplanar Technology
Direct Extraction Of Nonlinear Fet Q—v Functions From Time Domain Large Signal Measurements
38/76 Ghz Phemt Mmic Balanced Frequency Doublers In Coplanar Technology
An Optimized 25.5-76.5 Ghz Phemt-Based Coplanar Frequency Tripler
38/76 Ghz Phemt Mmic Balanced Frequency Doublers In Coplanar Technology
An Optimized 25.5-76.5 Ghz Phemt-Based Coplanar Frequency Tripler
Lmds Up-And Down-Converter Mmic
An Optimized 25.5-76.5 Ghz Phemt-Based Coplanar Frequency Tripler
Lmds Up-And Down-Converter Mmic
Simulación Utilizando El Muestreo Gibbs
Lmds Up-And Down-Converter Mmic
Simulación Utilizando El Muestreo Gibbs
Direct Extraction Of Nonlinear Fet C-V Functions From Time Domain Large Signal Measurements
Simulación Utilizando El Muestreo Gibbs
Direct Extraction Of Nonlinear Fet C-V Functions From Time Domain Large Signal Measurements
Coplanar Phemt Mmic Frequency Multipliers For 76-Ghz Automotive Radar
Direct Extraction Of Nonlinear Fet C-V Functions From Time Domain Large Signal Measurements
Coplanar Phemt Mmic Frequency Multipliers For 76-Ghz Automotive Radar
Accurate Extraction Of Nonlinear Intrinsic Transistor Current State Functions From Large Signal Waveform Measurements
Coplanar Phemt Mmic Frequency Multipliers For 76-Ghz Automotive Radar
Accurate Extraction Of Nonlinear Intrinsic Transistor Current State Functions From Large Signal Waveform Measurements
Direct Extraction Of Nonlinear Fet I-V Functions From Time Domain Large Signal Measurements
Accurate Extraction Of Nonlinear Intrinsic Transistor Current State Functions From Large Signal Waveform Measurements
Direct Extraction Of Nonlinear Fet I-V Functions From Time Domain Large Signal Measurements
Experimental Demonstration And Cad Investigation Of Class B Hfet Transistor Operation At Microwave Frequencies
Direct Extraction Of Nonlinear Fet I-V Functions From Time Domain Large Signal Measurements
Experimental Demonstration And Cad Investigation Of Class B Hfet Transistor Operation At Microwave Frequencies
Accurate Hemt Model Extraction And Validation In Class A And B Bias Points Using A Full Two-Port Large Signal On-Wafer Measurement System
Experimental Demonstration And Cad Investigation Of Class B Hfet Transistor Operation At Microwave Frequencies
Accurate Hemt Model Extraction And Validation In Class A And B Bias Points Using A Full Two-Port Large Signal On-Wafer Measurement System
Accurate Hemt Model Extraction And Validation In Class A And B Bias Points Using A Full Two-Port Large Signal On-Wafer Measurement System
Accurate Hemt Model Extraction And Validation In Class A And B Bias Points Using A Full Two-Port Large Signal On-Wafer Measurement System
Accurate Hemt Model Extraction And Validation In Class A And B Bias Points Using A Full Two-Port Large Signal On-Wafer Measurement System
Simplified Nonquasi-Static Fet Modelling Approach Experimentally Validated Up To 118.5 Ghz
Accurate Hemt Model Extraction And Validation In Class A And B Bias Points Using A Full Two-Port Large Signal On-Wafer Measurement System
Simplified Nonquasi-Static Fet Modelling Approach Experimentally Validated Up To 118.5 Ghz
Enhancing Noise Robustness Of Automatic Parkinson's Disease Detection In Diadochokinesis Tests Using Multicondition Training
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