Alzheimer's classification using dynamic ensemble of classifiers selection algorithms: A performance analysis

Screening of Alzheimer’s disease by facial complexion using artificial intelligence

(2021) Yumi Umeda-Kameyama et al.   Aging-US

Aberrant Whole-Brain Transitions and Dynamics of Spontaneous Network Microstates in Mild Traumatic Brain Injury

(2020) Marios Antonakakis et al.   Frontiers in Computational Neuroscience

High-dimensional microarray dataset classification using an improved adam optimizer (iAdam)

(2020) Utkarsh Mahadeo Khaire et al.   Journal of Ambient Intelligence and Humanized Computing

Training recurrent neural networks robust to incomplete data: application to Alzheimer’s disease progression modeling

(2019) Mostafa Mehdipour Ghazi et al.   MEDICAL IMAGE ANALYSIS

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

(2019) Charlotte Pelletier et al.   Remote Sensing

Random forest prediction of Alzheimer’s disease using pairwise selection from time series data

(2019) P. J. Moore et al.   PLoS One

Machine-learning Approach for the Development of a Novel Predictive Model for the Diagnosis of Hepatocellular Carcinoma

(2019) Masaya Sato et al.   Scientific Reports

A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis

(2019) Sabrina Mezzatesta et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset

(2019) Chihyun Park et al.   EXPERT SYSTEMS WITH APPLICATIONS

Analysis of various optimizers on deep convolutional neural network model in the application of hyperspectral remote sensing image classification

(2019) Somenath Bera et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

The Prevalence of Dementia: A Systematic Review and Meta-Analysis

(2019) Qing Cao et al.   JOURNAL OF ALZHEIMERS DISEASE

Dynamic ensemble selection for multi-class imbalanced datasets

(2018) Salvador García et al.   INFORMATION SCIENCES

Comparing the performance of meta-classifiers—a case study on selected imbalanced data sets relevant for prediction of liver toxicity

(2018) Sankalp Jain et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling

(2018) Shui-Hua Wang et al.   JOURNAL OF MEDICAL SYSTEMS

Time Series Classification with Multivariate Convolutional Neural Network

(2018) Chien-Liang Liu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer’s disease

(2018) Salim Lahmiri et al.   Biomedical Signal Processing and Control

Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]

(2018) Miriam Seoane Santos et al.   IEEE Computational Intelligence Magazine

Altered Rich-Club and Frequency-Dependent Subnetwork Organization in Mild Traumatic Brain Injury: A MEG Resting-State Study

(2017) Marios Antonakakis et al.   Frontiers in Human Neuroscience

Prevention of Alzheimer's Disease: Lessons Learned and Applied

(2017) James E. Galvin   JOURNAL OF THE AMERICAN GERIATRICS SOCIETY

Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery

(2017) Te Han et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Dynamic Ensemble Selection Approach for Hyperspectral Image Classification With Joint Spectral and Spatial Information

(2015) Bharath Bhushan Damodaran et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

META-DES: A dynamic ensemble selection framework using meta-learning

(2015) Rafael M.O. Cruz et al.   PATTERN RECOGNITION

Dynamic selection of classifiers—A comprehensive review

(2014) Alceu S. Britto et al.   PATTERN RECOGNITION

Multi-class AdaBoost

(2013) Trevor Hastie et al.   Statistics and Its Interface

Principled missing data methods for researchers

(2013) Yiran Dong et al.   SpringerPlus

Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data

(2012) Jieping Ye et al.   BMC Neurology

The Alzheimer’s Disease Assessment Scale-Cognitive-Plus (ADAS-Cog-Plus): an expansion of the ADAS-Cog to improve responsiveness in MCI

(2012) Jeannine Skinner et al.   Brain Imaging and Behavior

Engagement in social activities and progression from mild to severe cognitive impairment: the MYHAT study

(2012) Tiffany F. Hughes et al.   INTERNATIONAL PSYCHOGERIATRICS

Comparison of random forest, support vector machine and back propagation neural network for electronic tongue data classification: Application to the recognition of orange beverage and Chinese vinegar

(2012) Miao Liu et al.   SENSORS AND ACTUATORS B-CHEMICAL

MissForest--non-parametric missing value imputation for mixed-type data

(2011) D. J. Stekhoven et al.   BIOINFORMATICS

A measure of competence based on random classification for dynamic ensemble selection

(2011) Tomasz Woloszynski et al.   Information Fusion

A probabilistic model of classifier competence for dynamic ensemble selection

(2011) Tomasz Woloszynski et al.   PATTERN RECOGNITION

Alzheimer's Disease: The Challenge of the Second Century

(2011) D. M. Holtzman et al.   Science Translational Medicine

Cognitive complaint in mild cognitive impairment and Alzheimer's disease

(2008) FRANCIS CLÉMENT et al.   JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY

From dynamic classifier selection to dynamic ensemble selection

(2007) Albert H.R. Ko et al.   PATTERN RECOGNITION