PUBLICACIÓN

Time Series Classification of Raw Voice Waveforms for Parkinson's Disease Detection Using Generative Adversarial Network-Driven Data Augmentation

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ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Marta Rey-Paredes, Carlos J. Pérez, Alfonso Mateos-Caballero

2025 IEEE Open Journal of the Computer Society

CITAS

2

DOI

10.1109/ojcs.2024.3504864

EID

2-s2.0-85210368089

EISSN

2644-1268

AUTORES DE LA UEX

Carlos Javier Pérez Sánchez

OTRAS PUBLICACIONES DE INTERÉS

Simulación Utilizando El Muestreo Gibbs
Enhancing Noise Robustness Of Automatic Parkinson's Disease Detection In Diadochokinesis Tests Using Multicondition Training
A Data Ensemble-Based Approach For Detecting Vocal Disorders Using Replicated Acoustic Biomarkers From Electroglottography
Enhancing Noise Robustness Of Automatic Parkinson's Disease Detection In Diadochokinesis Tests Using Multicondition Training
A Data Ensemble-Based Approach For Detecting Vocal Disorders Using Replicated Acoustic Biomarkers From Electroglottography
Time Series Classification Of Raw Voice Waveforms For Parkinson's Disease Detection Using Generative Adversarial Network-Driven Data Augmentation
A Data Ensemble-Based Approach For Detecting Vocal Disorders Using Replicated Acoustic Biomarkers From Electroglottography
Time Series Classification Of Raw Voice Waveforms For Parkinson's Disease Detection Using Generative Adversarial Network-Driven Data Augmentation
A Keyword Extraction Model Study In The Movie Domain With Synopsis And Reviews
Time Series Classification Of Raw Voice Waveforms For Parkinson's Disease Detection Using Generative Adversarial Network-Driven Data Augmentation
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Sentiment-Oriented Query-Focused Text Summarization Addressed With A Multi-Objective Optimization Approach
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Impact Of Noise On The Performance Of Automatic Systems For Vocal Fold Lesions Detection
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A Stage-Based Approach To Allocating Water Quality Monitoring Stations Based On The Worldqual Model: The Jubba River As A Case Study
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Multicondition Training For Noise-Robust Detection Of Benign Vocal Fold Lesions From Recorded Speech
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A Study Of Methods For Reducing The Pareto Front To A Single Solution Applied To The Extractive Multi-Document Summarization Problem
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A Study Of Methods For Reducing The Pareto Front To A Single Solution Applied To The Extractive Multi-Document Summarization Problem
A Decomposition-Based Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
Robustness Assessment Of Automatic Reinke's Edema Diagnosis Systems
A Decomposition-Based Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
Robustness Assessment Of Automatic Reinke's Edema Diagnosis Systems
A Hidden Markov Model To Address Measurement Errors In Ordinal Response Scale And Non-Decreasing Process
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A Hidden Markov Model To Address Measurement Errors In Ordinal Response Scale And Non-Decreasing Process
Experimental Analysis Of Multiple Criteria For Extractive Multi-Document Text Summarization
A Hidden Markov Model To Address Measurement Errors In Ordinal Response Scale And Non-Decreasing Process
Experimental Analysis Of Multiple Criteria For Extractive Multi-Document Text Summarization
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Experimental Analysis Of Multiple Criteria For Extractive Multi-Document Text Summarization
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A Bayesian Approach For Misclassified Ordinal Response Data
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A Bayesian Approach For Misclassified Ordinal Response Data
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Parallelizing A Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
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A Bayesian-Network-Based Approach To Risk Analysis In Runway Excursions
An Indicator-Based Multi-Objective Optimization Approach Applied To Extractive Multi-Document Text Summarization
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Variability And Performance Study Of The Sound Absorption Of Used Cigarette Butts
An Indicator-Based Multi-Objective Optimization Approach Applied To Extractive Multi-Document Text Summarization
Variability And Performance Study Of The Sound Absorption Of Used Cigarette Butts
Comparison Of Automatic Methods For Reducing The Pareto Front To A Single Solution Applied To Multi-Document Text Summarization
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Comparison Of Automatic Methods For Reducing The Pareto Front To A Single Solution Applied To Multi-Document Text Summarization
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Comparison Of Automatic Methods For Reducing The Pareto Front To A Single Solution Applied To Multi-Document Text Summarization
Identifying Key Players In Large Social Networks By Using A Multi-Objective Artificial Bee Colony Optimization Approach
A Flexible Replication-Based Classification Approach For Parkinson’s Disease Detection By Using Voice Recordings
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A Flexible Replication-Based Classification Approach For Parkinson’s Disease Detection By Using Voice Recordings
A New Asymmetric Link-Based Binary Regression Model To Detect Parkinson's Disease By Using Replicated Voice Recordings
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An Objective Method Of Street Classification For Noise Studies
Computational Diagnosis Of Parkinson's Disease From Speech Based On Regularization Methods
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Automatic Selection Of A Single Solution From The Pareto Front To Identify Key Players In Social Networks
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A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
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A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
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A Multi-Objective Artificial Bee Colony-Based Optimization Approach To Design Water Quality Monitoring Networks In River Basins
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A Multi-Objective Artificial Bee Colony-Based Optimization Approach To Design Water Quality Monitoring Networks In River Basins
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Feedlot Conditions And Their Influence On Blood Parameter Values In Merino Lambs In Extremadura, Spain Over A Specific Time-Period
Diagnosis And Tracking Of Parkinson’s Disease By Using Automatically Extracted Acoustic Features
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Mannheimia Haemolytica And Bibersteinia Trehalosi Serotypes Isolated From Merino Breed Lambs In Extremadura (Southwestern Spain)
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Investigations Into The Seasonal Presence Of Mycoplasma Species In Fattening Lambs
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Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
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Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
A Bayesian Approach To Aggregate Experts' Initial Information
Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
A Bayesian Approach To Aggregate Experts' Initial Information
Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
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Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
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Inference On Exponential Families With Mixture Of Prior Distributions
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Inference On Exponential Families With Mixture Of Prior Distributions
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
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Bayesian Analysis Of A Generalized Lognormal Distribution
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
Bayesian Analysis Of A Generalized Lognormal Distribution
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Application Of A Generalized Lognormal Distribution To Engineering Data Fitting
A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
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Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
A Bayesian Model For Multinomial Sampling With Misclassified Data
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