PUBLICACIÓN

Enhancing noise robustness of automatic Parkinson's disease detection in diadochokinesis tests using multicondition training

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ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Mario Madruga Escalona, Yolanda Campos-Roca, Carlos Javier Pérez Sánchez

2025 Expert Systems with Applications

CITAS

1

DOI

10.1016/j.eswa.2024.125401

EID

2-s2.0-85204470919

ISSN

0957-4174

AUTORES DE LA UEX

Carlos Javier Pérez Sánchez
Yolanda Campos Roca

OTRAS PUBLICACIONES DE INTERÉS

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
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
A Keyword Extraction Model Study In The Movie Domain With Synopsis And Reviews
A Computationally Efficient Superposition T-Matrix Method For Non-Spherical Particles With Overlapping Minimum Circumscribing Spheres
A Keyword Extraction Model Study In The Movie Domain With Synopsis And Reviews
A Computationally Efficient Superposition T-Matrix Method For Non-Spherical Particles With Overlapping Minimum Circumscribing Spheres
Automatic Assignment Of Microgenres To Movies Using A Word Embedding-Based Approach
A Computationally Efficient Superposition T-Matrix Method For Non-Spherical Particles With Overlapping Minimum Circumscribing Spheres
Automatic Assignment Of Microgenres To Movies Using A Word Embedding-Based Approach
Addressing Multidimensional Highly Correlated Data For Forecasting In Precision Beekeeping
Automatic Assignment Of Microgenres To Movies Using A Word Embedding-Based Approach
Addressing Multidimensional Highly Correlated Data For Forecasting In Precision Beekeeping
An Indicator-Based Multi-Objective Variable Neighborhood Search Approach For Query-Focused Summarization
Addressing Multidimensional Highly Correlated Data For Forecasting In Precision Beekeeping
An Indicator-Based Multi-Objective Variable Neighborhood Search Approach For Query-Focused Summarization
Differential Sensors In Substrate Integrated Waveguide Technology Loaded With Complementary Split-Ring Resonators For Liquid Characterization
An Indicator-Based Multi-Objective Variable Neighborhood Search Approach For Query-Focused Summarization
Differential Sensors In Substrate Integrated Waveguide Technology Loaded With Complementary Split-Ring Resonators For Liquid Characterization
Automatic Assignment Of Moral Foundations To Movies By Word Embedding
Differential Sensors In Substrate Integrated Waveguide Technology Loaded With Complementary Split-Ring Resonators For Liquid Characterization
Automatic Assignment Of Moral Foundations To Movies By Word Embedding
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Evaluación De Los Estudiantes De Teleco De Actividades De Aprendizaje-Servicio Que Fomentan El Desarrollo Sostenible
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A Multi-Objective Memetic Algorithm For Query-Oriented Text Summarization: Medicine Texts As A Case Study
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Predicting Internal Conditions Of Beehives Using Precision Beekeeping
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Predicting Internal Conditions Of Beehives Using Precision Beekeeping
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A Mobile-Assisted Voice Condition Analysis System For Parkinson’s Disease: Assessment Of Usability Conditions
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Sentiment-Oriented Query-Focused Text Summarization Addressed With A Multi-Objective Optimization Approach
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Sentiment-Oriented Query-Focused Text Summarization Addressed With A Multi-Objective Optimization Approach
Replication-Based Regularization Approaches To Diagnose Reinke's Edema By Using Voice Recordings
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Impact Of Noise On The Performance Of Automatic Systems For Vocal Fold Lesions Detection
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Monitoring Parkinson's Disease Progression Based On Recorded Speech With Missing Ordinal Responses And Replicated Covariates
Impact Of Noise On The Performance Of Automatic Systems For Vocal Fold Lesions Detection
Monitoring Parkinson's Disease Progression Based On Recorded Speech With Missing Ordinal Responses And Replicated Covariates
The Impact Of Term-Weighting Schemes And Similarity Measures On Extractive Multi-Document Text Summarization
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Predicting Leaf Nitrogen Content In Olive Trees Using Hyperspectral Data For Precision Agriculture
Multicondition Training For Noise-Robust Detection Of Benign Vocal Fold Lesions From Recorded Speech
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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
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
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
An Acoustic-Signal-Based Preventive Program For University Lecturers’ Vocal Health
Experimental Analysis Of Multiple Criteria For Extractive Multi-Document Text Summarization
An Acoustic-Signal-Based Preventive Program For University Lecturers’ Vocal Health
Gcpw Gaas Broadside Couplers At H-Band And Application To Balanced Power Amplifiers
An Acoustic-Signal-Based Preventive Program For University Lecturers’ Vocal Health
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A Bayesian Approach For Misclassified Ordinal Response Data
Gcpw Gaas Broadside Couplers At H-Band And Application To Balanced Power Amplifiers
A Bayesian Approach For Misclassified Ordinal Response Data
A Bayesian Decision Analysis Approach To Assess Voice Disorder Risks By Using Acoustic Features
A Bayesian Approach For Misclassified Ordinal Response Data
A Bayesian Decision Analysis Approach To Assess Voice Disorder Risks By Using Acoustic Features
Skewed Link-Based Regression Models For Misclassified Binary Data
A Bayesian Decision Analysis Approach To Assess Voice Disorder Risks By Using Acoustic Features
Skewed Link-Based Regression Models For Misclassified Binary Data
Exploring The Importance Of Mixed Autogenous Vaccines As A Potential Determinant Of Lung Consolidation In Lambs Using Bayesian Networks
Skewed Link-Based Regression Models For Misclassified Binary Data
Exploring The Importance Of Mixed Autogenous Vaccines As A Potential Determinant Of Lung Consolidation In Lambs Using Bayesian Networks
Towards Robust Features In Voice Disease Diagnosis: Mfccs Vs. Pnccs
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Simultaneous Use Of Addition Theorems For Cylindrical And Spherical Waves For The Fast Full-Wave Analysis Of Siw-Based Antenna Arrays
Applications Of The Direct Domain Decomposition Based On Cylindrical Ports In The Hybrid Finite Element/modal Analysis Method
Simultaneous Use Of Addition Theorems For Cylindrical And Spherical Waves For The Fast Full-Wave Analysis Of Siw-Based Antenna Arrays
Applications Of The Direct Domain Decomposition Based On Cylindrical Ports In The Hybrid Finite Element/modal Analysis Method
Parallelizing A Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
Applications Of The Direct Domain Decomposition Based On Cylindrical Ports In The Hybrid Finite Element/modal Analysis Method
Parallelizing A Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
A Bayesian-Network-Based Approach To Risk Analysis In Runway Excursions
Parallelizing A Multi-Objective Optimization Approach For Extractive Multi-Document Text Summarization
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
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
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
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
Identifying Key Players In Large Social Networks By Using A Multi-Objective Artificial Bee Colony Optimization Approach
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
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
A New Asymmetric Link-Based Binary Regression Model To Detect Parkinson's Disease By Using Replicated Voice Recordings
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
Overall Formulation For Multilayer Siw Circuits Based On Addition Theorems And The Generalized Scattering Matrix
A New Asymmetric Link-Based Binary Regression Model To Detect Parkinson's Disease By Using Replicated Voice Recordings
Overall Formulation For Multilayer Siw Circuits Based On Addition Theorems And The Generalized Scattering Matrix
An Objective Method Of Street Classification For Noise Studies
Overall Formulation For Multilayer Siw Circuits Based On Addition Theorems And The Generalized Scattering Matrix
An Objective Method Of Street Classification For Noise Studies
Computational Diagnosis Of Parkinson's Disease From Speech Based On Regularization Methods
An Objective Method Of Street Classification For Noise Studies
Computational Diagnosis Of Parkinson's Disease From Speech Based On Regularization Methods
Automatic Selection Of A Single Solution From The Pareto Front To Identify Key Players In Social Networks
Computational Diagnosis Of Parkinson's Disease From Speech Based On Regularization Methods
Automatic Selection Of A Single Solution From The Pareto Front To Identify Key Players In Social Networks
Extractive Multi-Document Text Summarization Using A Multi-Objective Artificial Bee Colony Optimization Approach
Automatic Selection Of A Single Solution From The Pareto Front To Identify Key Players In Social Networks
Extractive Multi-Document Text Summarization Using A Multi-Objective Artificial Bee Colony Optimization Approach
A Diadochokinesis-Based Expert System Considering Articulatory Features Of Plosive Consonants For Early Detection Of Parkinson's Disease
Extractive Multi-Document Text Summarization Using A Multi-Objective Artificial Bee Colony Optimization Approach
A Diadochokinesis-Based Expert System Considering Articulatory Features Of Plosive Consonants For Early Detection Of Parkinson's Disease
Boar Sperm Hyperactivated Motility Is Induced By Temperature Via An Intracellular Calcium-Dependent Pathway
A Diadochokinesis-Based Expert System Considering Articulatory Features Of Plosive Consonants For Early Detection Of Parkinson's Disease
Boar Sperm Hyperactivated Motility Is Induced By Temperature Via An Intracellular Calcium-Dependent Pathway
Graphs And Key Players In An Educational Social Network
Boar Sperm Hyperactivated Motility Is Induced By Temperature Via An Intracellular Calcium-Dependent Pathway
Graphs And Key Players In An Educational Social Network
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Graphs And Key Players In An Educational Social Network
Word Clouds As A Learning Analytic Tool For The Cooperative E-Learning Platform Neurok
Identification, Capsular Typing And Virulence Factors Of Pasteurella Multocida Isolates From Merino Lambs In Extremadura (Southwestern Spain)
Word Clouds As A Learning Analytic Tool For The Cooperative E-Learning Platform Neurok
Identification, Capsular Typing And Virulence Factors Of Pasteurella Multocida Isolates From Merino Lambs In Extremadura (Southwestern Spain)
Spurious Mode Suppression In The Design Of Gcpw Submillimeter-Wave Power Amplifiers
Identification, Capsular Typing And Virulence Factors Of Pasteurella Multocida Isolates From Merino Lambs In Extremadura (Southwestern Spain)
Spurious Mode Suppression In The Design Of Gcpw Submillimeter-Wave Power Amplifiers
A G-Band Broadband Balanced Power Amplifier Module Based On Cascode Mhemts
Spurious Mode Suppression In The Design Of Gcpw Submillimeter-Wave Power Amplifiers
A G-Band Broadband Balanced Power Amplifier Module Based On Cascode Mhemts
Analysis And Development Of Submillimeter-Wave Stacked-Fet Power Amplifier Mmics In 35-Nm Mhemt Technology
A G-Band Broadband Balanced Power Amplifier Module Based On Cascode Mhemts
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Analysis Of 4-Way Divider Mmics In Gaas Technology For H-Band Applications
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Analysis Of 4-Way Divider Mmics In Gaas Technology For H-Band Applications
A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
Analysis Of 4-Way Divider Mmics In Gaas Technology For H-Band Applications
A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
Addressing Voice Recording Replications For Tracking Parkinson’s Disease Progression
A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
Addressing Voice Recording Replications For Tracking Parkinson’s Disease Progression
A Multi-Objective Artificial Bee Colony-Based Optimization Approach To Design Water Quality Monitoring Networks In River Basins
Addressing Voice Recording Replications For Tracking Parkinson’s Disease Progression
A Multi-Objective Artificial Bee Colony-Based Optimization Approach To Design Water Quality Monitoring Networks In River Basins
Neurok: A Collaborative E-Learning Platform Based On Pedagogical Principles From Neuroscience
A Multi-Objective Artificial Bee Colony-Based Optimization Approach To Design Water Quality Monitoring Networks In River Basins
Neurok: A Collaborative E-Learning Platform Based On Pedagogical Principles From Neuroscience
Efficient Em Simulation Of Gcpw Structures Applied To A 200-Ghz Mhemt Power Amplifier Mmic
Neurok: A Collaborative E-Learning Platform Based On Pedagogical Principles From Neuroscience
Efficient Em Simulation Of Gcpw Structures Applied To A 200-Ghz Mhemt Power Amplifier Mmic
Feedlot Conditions And Their Influence On Blood Parameter Values In Merino Lambs In Extremadura, Spain Over A Specific Time-Period
Efficient Em Simulation Of Gcpw Structures Applied To A 200-Ghz Mhemt Power Amplifier Mmic
Feedlot Conditions And Their Influence On Blood Parameter Values In Merino Lambs In Extremadura, Spain Over A Specific Time-Period
A Broadband 175-245 Ghz Balanced Medium Power Amplifier Using 50-Nm Mhemt Technology
Feedlot Conditions And Their Influence On Blood Parameter Values In Merino Lambs In Extremadura, Spain Over A Specific Time-Period
A Broadband 175-245 Ghz Balanced Medium Power Amplifier Using 50-Nm Mhemt Technology
Diagnosis And Tracking Of Parkinson’s Disease By Using Automatically Extracted Acoustic Features
A Broadband 175-245 Ghz Balanced Medium Power Amplifier Using 50-Nm Mhemt Technology
Diagnosis And Tracking Of Parkinson’s Disease By Using Automatically Extracted Acoustic Features
Mannheimia Haemolytica And Bibersteinia Trehalosi Serotypes Isolated From Merino Breed Lambs In Extremadura (Southwestern Spain)
Diagnosis And Tracking Of Parkinson’s Disease By Using Automatically Extracted Acoustic Features
Mannheimia Haemolytica And Bibersteinia Trehalosi Serotypes Isolated From Merino Breed Lambs In Extremadura (Southwestern Spain)
Investigations Into The Seasonal Presence Of Mycoplasma Species In Fattening Lambs
Mannheimia Haemolytica And Bibersteinia Trehalosi Serotypes Isolated From Merino Breed Lambs In Extremadura (Southwestern Spain)
Investigations Into The Seasonal Presence Of Mycoplasma Species In Fattening Lambs
Identifying Risk Factors For Ovine Respiratory Processes By Using Bayesian Networks
Investigations Into The Seasonal Presence Of Mycoplasma Species In Fattening Lambs
Identifying Risk Factors For Ovine Respiratory Processes By Using Bayesian Networks
A 280 Ghz Stacked-Fet Power Amplifier Cell Using 50 Nm Metamorphic Hemt Technology
Identifying Risk Factors For Ovine Respiratory Processes By Using Bayesian Networks
A 280 Ghz Stacked-Fet Power Amplifier Cell Using 50 Nm Metamorphic Hemt Technology
A 200 Ghz Driver Amplifier In Metamorphic Hemt Technology
A 280 Ghz Stacked-Fet Power Amplifier Cell Using 50 Nm Metamorphic Hemt Technology
A 200 Ghz Driver Amplifier In Metamorphic Hemt Technology
Addressing Voice Recording Replications For Parkinson's Disease Detection
A 200 Ghz Driver Amplifier In Metamorphic Hemt Technology
Addressing Voice Recording Replications For Parkinson's Disease Detection
A Bayesian Negotiation Model For Quality And Price In A Multi-Consumer Context
Addressing Voice Recording Replications For Parkinson's Disease Detection
A Bayesian Negotiation Model For Quality And Price In A Multi-Consumer Context
A New Bayesian Network-Based Approach To The Analysis Of Sperm Motility: Application In The Study Of Tench (Tinca Tinca) Semen
A Bayesian Negotiation Model For Quality And Price In A Multi-Consumer Context
A New Bayesian Network-Based Approach To The Analysis Of Sperm Motility: Application In The Study Of Tench (Tinca Tinca) Semen
A Condition-Based Maintenance For A System Subject To Multiple Degradation Processes And External Shocks
A New Bayesian Network-Based Approach To The Analysis Of Sperm Motility: Application In The Study Of Tench (Tinca Tinca) Semen
A Condition-Based Maintenance For A System Subject To Multiple Degradation Processes And External Shocks
A Monte Carlo–based Bayesian Approach For Measuring Agreement In A Qualitative Scale
A Condition-Based Maintenance For A System Subject To Multiple Degradation Processes And External Shocks
A Monte Carlo–based Bayesian Approach For Measuring Agreement In A Qualitative Scale
Valuation Of Immune Response By Using Phagocytosis Index And Parameters Associated As Markers Of Animal Stress In Fattening Lambs
A Monte Carlo–based Bayesian Approach For Measuring Agreement In A Qualitative Scale
Valuation Of Immune Response By Using Phagocytosis Index And Parameters Associated As Markers Of Animal Stress In Fattening Lambs
A Condition-Based Maintenance Of A Dependent Degradation-Threshold-Shock Model In A System With Multiple Degradation Processes
Valuation Of Immune Response By Using Phagocytosis Index And Parameters Associated As Markers Of Animal Stress In Fattening Lambs
A Condition-Based Maintenance Of A Dependent Degradation-Threshold-Shock Model In A System With Multiple Degradation Processes
Impact Of Metallization Layer Structure On The Performance Of G-Band Branch-Line Couplers
A Condition-Based Maintenance Of A Dependent Degradation-Threshold-Shock Model In A System With Multiple Degradation Processes
Impact Of Metallization Layer Structure On The Performance Of G-Band Branch-Line Couplers
Bayesian Analysis Of Some Models That Use The Asymmetric Exponential Power Distribution
Impact Of Metallization Layer Structure On The Performance Of G-Band Branch-Line Couplers
Bayesian Analysis Of Some Models That Use The Asymmetric Exponential Power Distribution
A Latent Variable-Based Bayesian Regression To Address Recording Replications In Parkinson's Disease
Bayesian Analysis Of Some Models That Use The Asymmetric Exponential Power Distribution
A Latent Variable-Based Bayesian Regression To Address Recording Replications In Parkinson's Disease
A 200 Ghz Medium Power Amplifier Mmic In Cascode Metamorphic Hemt Technology
A Latent Variable-Based Bayesian Regression To Address Recording Replications In Parkinson's Disease
A 200 Ghz Medium Power Amplifier Mmic In Cascode Metamorphic Hemt Technology
Adversarial Life Testing: A Bayesian Negotiation Model
A 200 Ghz Medium Power Amplifier Mmic In Cascode Metamorphic Hemt Technology
Adversarial Life Testing: A Bayesian Negotiation Model
Addressing Misclassification For Binary Data: Probit And T-Link Regressions
Adversarial Life Testing: A Bayesian Negotiation Model
Addressing Misclassification For Binary Data: Probit And T-Link Regressions
Bayesian Binary Regression With Exponential Power Link
Addressing Misclassification For Binary Data: Probit And T-Link Regressions
Bayesian Binary Regression With Exponential Power Link
A Statistical Agreement-Based Approach For Difference Testing
Bayesian Binary Regression With Exponential Power Link
A Statistical Agreement-Based Approach For Difference Testing
A G-Band Cascode Mhemt Medium Power Amplifier
A Statistical Agreement-Based Approach For Difference Testing
A G-Band Cascode Mhemt Medium Power Amplifier
Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
A G-Band Cascode Mhemt Medium Power Amplifier
Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
Multibias Scalable Hemt Small-Signal Modeling Based On A Hybrid Direct Extraction/particle Swarm Optimization Approach
Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
Multibias Scalable Hemt Small-Signal Modeling Based On A Hybrid Direct Extraction/particle Swarm Optimization Approach
A Bayesian Approach To Aggregate Experts' Initial Information
Multibias Scalable Hemt Small-Signal Modeling Based On A Hybrid Direct Extraction/particle Swarm Optimization Approach
A Bayesian Approach To Aggregate Experts' Initial Information
Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
A Bayesian Approach To Aggregate Experts' Initial Information
Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
Scalable Hemt Small-Signal Model Extraction Based On A Hybrid Multibias Approach
Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
Scalable Hemt Small-Signal Model Extraction Based On A Hybrid Multibias Approach
A D-Band Balanced Subharmonically-Pumped Resistive Mixer Based On 100-Nm Mhemt Technology
Scalable Hemt Small-Signal Model Extraction Based On A Hybrid Multibias Approach
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
Combinando Opiniones De Expertos Mediante Mixturas De Distribuciones A Priori
A Note On The Prior Parameter Choice In Finite Mixture Models Of Distributions From Exponential Families
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
Bayesian Analysis Of Finite Mixtures Of Multinomial And Negative-Multinomial Distributions
Rage: A Java-Implemented Visual Random Generator
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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