PS-Merge operator in the classification of gait biomarkers: A preliminary approach to eXplainable Artificial Intelligence

Towards an ethical framework about Big Data era: metaethical, normative ethical and hermeneutical approaches

(2022) Ariel Antonio Morán-Reyes   Heliyon

Ethically governing artificial intelligence in the field of scientific research and innovation

(2022) Elsa González-Esteban y Patrici Calvo   Heliyon

Identification of Neurodegenerative Diseases From Gait Rhythm Through Time Domain and Time-Dependent Spectral Descriptors

(2022) Alessandro Mengarelli et al.   IEEE Journal of Biomedical and Health Informatics

Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques

(2021) Alexandra-Maria Tăuţan et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Neurodegenerative disease detection and severity prediction using deep learning approaches

(2021) Çağatay Berke Erdaş et al.   Biomedical Signal Processing and Control

A novel method based on matching pursuit decomposition of gait signals for Parkinson’s disease, Amyotrophic lateral sclerosis and Huntington’s disease detection

(2021) Masume Saljuqi et al.   NEUROSCIENCE LETTERS

Computer-aided identification of degenerative neuromuscular diseases based on gait dynamics and ensemble decision tree classifiers

(2021) Luay Fraiwan et al.   PLoS One

Neurodegenerative diseases categorization by applying the automatic model selection and hyperparameter optimization method

(2021) Mirta Fuentes-Ramos et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Neurodegenerative diseases detection using distance metrics and sparse coding: A new perspective on gait symmetric features

(2020) Peyvand Ghaderyan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A robust, cost-effective and non-invasive computer-aided method for diagnosis three types of neurodegenerative diseases with gait signal analysis

(2020) Seyede Marziyeh Ghoreshi Beyrami et al.   MEASUREMENT

Gait Rhythm Dynamics for Neuro-Degenerative Disease Classification via Persistence Landscape- Based Topological Representation

(2020) Yan Yan et al.   SENSORS

Development of a Neurodegenerative Disease Gait Classification Algorithm Using Multiscale Sample Entropy and Machine Learning Classifiers

(2020) Quoc Duy Nam Nguyen et al.   Entropy

DARPA’s Explainable Artificial Intelligence (XAI) Program

(2019) David Gunning et al.   AI MAGAZINE

Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study

(2019) Eddy Sánchez-DelaCruz et al.   Computational and Mathematical Methods in Medicine

Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering

(2019) Qianmu Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Merginator: A belief merging tool for consensus support

(2018) Pilar Pozos-Parra et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Dual channel LSTM based multi-feature extraction in gait for diagnosis of Neurodegenerative diseases

(2018) Aite Zhao et al.   KNOWLEDGE-BASED SYSTEMS

Classification of gait rhythm signals between patients with neuro-degenerative diseases and normal subjects: Experiments with statistical features and different classification models

(2015) Yi Xia et al.   Biomedical Signal Processing and Control

A novel approach for analysis of altered gait variability in amyotrophic lateral sclerosis

(2015) Yi Xia et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Depressive symptoms in neurodegenerative diseases

(2015) Miquel Baquero   World Journal of Clinical Cases

Emotional and Behavioral Symptoms in Neurodegenerative Disease: A Model for Studying the Neural Bases of Psychopathology

(2014) Robert W. Levenson et al.   Annual Review of Clinical Psychology

Multiclass From Binary: Expanding One-Versus-All, One-Versus-One and ECOC-Based Approaches

(2013) Anderson Rocha et al.   IEEE Transactions on Neural Networks and Learning Systems

Quantitative Normative Gait Data in a Large Cohort of Ambulatory Persons with Parkinson’s Disease

(2012) Chris J. Hass et al.   PLoS One

An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes

(2011) Mikel Galar et al.   PATTERN RECOGNITION