Applying Machine Learning to Kinematic and Eye Movement Features of a Movement Imitation Task to Predict Autism Diagnosis

Machine learning algorithm validation with a limited sample size

(2019) Andrius Vabalas et al.   PLoS One

Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining

(2018) Ryan J. Urbanowicz et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Cross-validation failure: Small sample sizes lead to large error bars

(2017) Gaël Varoquaux   NEUROIMAGE

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

(2017) Mohammad R. Arbabshirani et al.   NEUROIMAGE

Applying machine learning to identify autistic adults using imitation: An exploratory study

(2017) Baihua Li et al.   PLoS One

Enhancing voluntary imitation through attention and motor imagery

(2016) Judith Bek et al.   EXPERIMENTAL BRAIN RESEARCH

Feedforward and Feedback Motor Control Abnormalities Implicate Cerebellar Dysfunctions in Autism Spectrum Disorder

(2015) M. W. Mosconi et al.   JOURNAL OF NEUROSCIENCE

Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy

(2015) Etienne Combrisson et al.   JOURNAL OF NEUROSCIENCE METHODS

A Meta-Analysis of Imitation Abilities in Individuals With Autism Spectrum Disorders

(2014) Laura A. Edwards   Autism Research

Top-down attentional processes modulate the coding of atypical biological motion kinematics in the absence of motor signals.

(2014) Spencer J. Hayes et al.   JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE

Data classification using an ensemble of filters

(2014) V. Bolón-Canedo et al.   NEUROCOMPUTING

Saccadic eye movement abnormalities in autism spectrum disorder indicate dysfunctions in cerebellum and brainstem

(2014) Lauren M Schmitt et al.   Molecular Autism

Analysis of feature selection stability on high dimension and small sample data

(2013) David Dernoncourt et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Deficits in motor abilities and developmental fractionation of imitation performance in high-functioning autism spectrum disorders

(2013) Monica Biscaldi et al.   EUROPEAN CHILD & ADOLESCENT PSYCHIATRY

Predicting sample size required for classification performance

(2012) Rosa L Figueroa et al.   BMC Medical Informatics and Decision Making

A review of feature selection methods on synthetic data

(2012) Verónica Bolón-Canedo et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Epidemiology of Autism Spectrum Disorders in Adults in the Community in England

(2011) Traolach S. Brugha et al.   ARCHIVES OF GENERAL PSYCHIATRY

Multimodal classification of Alzheimer's disease and mild cognitive impairment

(2011) Daoqiang Zhang et al.   NEUROIMAGE

A Behavioral Comparison of Male and Female Adults with High Functioning Autism Spectrum Conditions

(2011) Meng-Chuan Lai et al.   PLoS One

The Influence of Feature Selection Methods on Accuracy, Stability and Interpretability of Molecular Signatures

(2011) Anne-Claire Haury et al.   PLoS One

Stability selection

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Impairment in movement skills of children with autistic spectrum disorders

(2009) DIDO GREEN et al.   DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY