Parcourir Artículos ADMIRABLE par auteur "Arnaiz González, Álvar"

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Adopting a multidisciplinary telemedicine intervention for fall prevention in Parkinson’s disease. Protocol for a longitudinal, randomized clinical trial

Cubo Delgado, Esther ; García Bustillo, Álvaro ; Arnaiz González, Álvar ; Ramírez Sanz, José Miguel ; Garrido Labrador, José Luis ; Valiñas Sieiro, Florita; Allende-Río, Marta; González Bernal, Jerónimo ; González Santos, Josefa ; Diez Pastor, José Francisco ; Jahouh, Maha; Arribas, Jana; Trejo Gabriel y Galán, José Mª
(2021-12, Public Library of Science)

Artículo
Assistive Devices for Personal Mobility in Parkinson's Disease: A Systematic Review of the Literature

García Bustillo, Álvaro ; Valiñas Sieiro, Florita; Allende-Río, Marta; González Santos, Josefa ; Cubo Delgado, Esther ; Jahouh, Maha; Collazo Riobó, Carla ; Simón Vicente, Lucía ; Rivadeneyra Posadas, Jéssica Jannett; González Bernal, Jerónimo ; Ramírez Sanz, José Miguel ; Garrido Labrador, José Luis ; Olivares Gil, Alicia ; Arnaiz González, Álvar ; Diez Pastor, José Francisco ; Trejo Gabriel y Galán, José Mª
(2022-09, Wiley)

Artículo
Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping

Amo Salas, Javier; Olivares Gil, Alicia ; García Bustillo, Álvaro ; García García, David ; Arnaiz González, Álvar ; Cubo Delgado, Esther
(2024-02, MDPI)

Artículo
Cuestionarios de e-autoevaluación y e-feedback: una aplicación en Moodle

Sáiz Manzanares, María Consuelo ; Queiruga Dios, Miguel Ángel ; Marticorena Sánchez, Raúl ; Escolar Llamazares, María del Camino ; Arnaiz González, Álvar
(2018-12, ASUNIVEP)

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Detección del alumno en riesgo en titulaciones de Ciencias de la Salud: aplicación de técnicas de Learning Analytics

Sáiz Manzanares, María Consuelo ; Marticorena Sánchez, Raúl ; Arnaiz González, Álvar ; Escolar Llamazares, María del Camino ; Queiruga Dios, Miguel Ángel
(2018-12, ASUNIVEP)

Artículo
Early and extremely early multi-label fault diagnosis in induction motors

Juez Gil, Mario ; Saucedo Dorantes, Juan José; Arnaiz González, Álvar ; López Nozal, Carlos ; García Osorio, César ; Lowe, David
(2020-11, Elsevier)

Artículo
Effectiveness of Blended Learning in Nursing Education

Sáiz Manzanares, María Consuelo ; Escolar Llamazares, María del Camino ; Arnaiz González, Álvar
(2020-03, MDPI)

Artículo
Evaluation of Functional Abilities in 0–6 Year Olds: An Analysis with the eEarlyCare Computer Application

Sáiz Manzanares, María Consuelo ; Marticorena Sánchez, Raúl ; Arnaiz González, Álvar
(2020-05, MDPI)

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Evolutionary prototype selection for multi-output regression

Kordos, Mirosław; Arnaiz González, Álvar ; García Osorio, César
(2019, Elsevier)

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Experimental evaluation of ensemble classifiers for imbalance in Big Data

Juez Gil, Mario ; Arnaiz González, Álvar ; Rodríguez Diez, Juan José ; García Osorio, César
(2021-09, Elsevier)

Artículo
An experimental evaluation of mixup regression forests

Rodríguez Diez, Juan José ; Juez Gil, Mario ; Arnaiz González, Álvar ; Kuncheva, Ludmila I. .
(2020-08, Elsevier)

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Improvements for Therapeutic Intervention from the Use of Web Applications and Machine Learning Techniques in Different Affectations in Children Aged 0–6 Years

Sáiz Manzanares, María Consuelo ; Marticorena Sánchez, Raúl ; Arnaiz González, Álvar
(2022-05, MDPI)

Artículo
Instance selection of linear complexity for big data

Arnaiz González, Álvar ; Diez Pastor, José Francisco ; Rodríguez Diez, Juan José ; García Osorio, César
(2016-09, Elsevier)

Artículo
A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept

Ramírez Sanz, José Miguel ; Garrido Labrador, José Luis ; Olivares Gil, Alicia ; García Bustillo, Álvaro ; Arnaiz González, Álvar ; Diez Pastor, José Francisco ; Jahouh, Maha; González Santos, Josefa ; González Bernal, Jerónimo ; Allende-Río, Marta; Valiñas Sieiro, Florita; Trejo Gabriel y Galán, José Mª; Cubo Delgado, Esther
(2023-02, MDPI)

Artículo
A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept

Ramírez Sanz, José Miguel ; Garrido Labrador, José Luis ; Olivares Gil, Alicia ; García Bustillo, Álvaro ; Arnaiz González, Álvar ; Diez Pastor, José Francisco ; Jahouh, Maha; González Santos, Josefa ; González Bernal, Jerónimo ; Allende-Río, Marta; Valiñas Sieiro, Florita; Trejo Gabriel y Galán, José Mª; Cubo Delgado, Esther
(2023-02, MDPI)

Artículo
Random Balance ensembles for multiclass imbalance learning

Rodríguez Diez, Juan José ; Diez Pastor, José Francisco ; Arnaiz González, Álvar ; Kuncheva, Ludmila I. .
(2020-04, Elsevier)

Artículo
Rotation Forest for multi-target regression

Rodríguez Diez, Juan José ; Juez Gil, Mario ; López Nozal, Carlos ; Arnaiz González, Álvar
(2022-02, Springer)

Artículo
Semi-supervised learning for industrial fault detection and diagnosis: A systemic review

Ramírez Sanz, José Miguel ; Maestro Prieto, José Alberto ; Arnaiz González, Álvar ; Bustillo Iglesias, Andrés
(2023-12, Elsevier)

Artículo
A taxonomic look at instance-based stream classifiers

Gunn, Iain A.D. .; Arnaiz González, Álvar ; Kuncheva, Ludmila I. .
(2018-04, Elsevier)

Artículo
UBUMonitor: An Open-Source Desktop Application for Visual E-Learning Analysis with Moodle

Marticorena Sánchez, Raúl ; López Nozal, Carlos ; Ji, Yi Peng; Pardo Aguilar, Carlos ; Arnaiz González, Álvar
(2022-03, MDPI)

Artículo

Parcourir Artículos ADMIRABLE par auteur "Arnaiz González, Álvar"

Adopting a multidisciplinary telemedicine intervention for fall prevention in Parkinson’s disease. Protocol for a longitudinal, randomized clinical trial ﻿

Assistive Devices for Personal Mobility in Parkinson's Disease: A Systematic Review of the Literature ﻿

Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping ﻿

Cuestionarios de e-autoevaluación y e-feedback: una aplicación en Moodle ﻿

Detección del alumno en riesgo en titulaciones de Ciencias de la Salud: aplicación de técnicas de Learning Analytics ﻿

Early and extremely early multi-label fault diagnosis in induction motors ﻿

Effectiveness of Blended Learning in Nursing Education ﻿

Evaluation of Functional Abilities in 0–6 Year Olds: An Analysis with the eEarlyCare Computer Application ﻿

Evolutionary prototype selection for multi-output regression ﻿

Experimental evaluation of ensemble classifiers for imbalance in Big Data ﻿

An experimental evaluation of mixup regression forests ﻿

Improvements for Therapeutic Intervention from the Use of Web Applications and Machine Learning Techniques in Different Affectations in Children Aged 0–6 Years ﻿

Instance selection of linear complexity for big data ﻿

A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept ﻿

A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept ﻿

Random Balance ensembles for multiclass imbalance learning ﻿

Rotation Forest for multi-target regression ﻿

Semi-supervised learning for industrial fault detection and diagnosis: A systemic review ﻿

A taxonomic look at instance-based stream classifiers ﻿

UBUMonitor: An Open-Source Desktop Application for Visual E-Learning Analysis with Moodle ﻿

Adopting a multidisciplinary telemedicine intervention for fall prevention in Parkinson’s disease. Protocol for a longitudinal, randomized clinical trial

Assistive Devices for Personal Mobility in Parkinson's Disease: A Systematic Review of the Literature

Computer Vision for Parkinson’s Disease Evaluation: A Survey on Finger Tapping

Cuestionarios de e-autoevaluación y e-feedback: una aplicación en Moodle

Detección del alumno en riesgo en titulaciones de Ciencias de la Salud: aplicación de técnicas de Learning Analytics

Early and extremely early multi-label fault diagnosis in induction motors

Effectiveness of Blended Learning in Nursing Education

Evaluation of Functional Abilities in 0–6 Year Olds: An Analysis with the eEarlyCare Computer Application

Evolutionary prototype selection for multi-output regression

Experimental evaluation of ensemble classifiers for imbalance in Big Data

An experimental evaluation of mixup regression forests

Improvements for Therapeutic Intervention from the Use of Web Applications and Machine Learning Techniques in Different Affectations in Children Aged 0–6 Years

Instance selection of linear complexity for big data

A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept

A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept

Random Balance ensembles for multiclass imbalance learning

Rotation Forest for multi-target regression

Semi-supervised learning for industrial fault detection and diagnosis: A systemic review

A taxonomic look at instance-based stream classifiers

UBUMonitor: An Open-Source Desktop Application for Visual E-Learning Analysis with Moodle