AIMC Topic: Sample Size
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Machine learning derived risk prediction of anorexia nervosa.
BMC medical genomics
Jan 20, 2016
BACKGROUND: Anorexia nervosa (AN) is a complex psychiatric disease with a moderate to strong genetic contribution. In addition to conventional genome wide association (GWA) studies, researchers have been using machine learning methods in conjunction ...
Quantitative Evaluation of Performance during Robot-assisted Treatment.
Methods of information in medicine
Dec 7, 2015
INTRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on "Methodologies, Models and Algorithms for Patients Rehabilitation".
Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction.
IEEE transactions on bio-medical engineering
Nov 25, 2015
OBJECTIVE: Improve the reconstructed image with fast and multiclass dictionaries learning when magnetic resonance imaging is accelerated by undersampling the k-space data.
Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition.
PloS one
Nov 16, 2015
Face recognition is challenging especially when the images from different persons are similar to each other due to variations in illumination, expression, and occlusion. If we have sufficient training images of each person which can span the facial v...
Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System.
PloS one
Oct 13, 2015
This study presents a 2-stage heartbeat classifier of supraventricular (SVB) and ventricular (VB) beats. Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a ...
Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.
Computer methods and programs in biomedicine
Jul 4, 2015
Breast cancer is one of the most perilous diseases among women. Breast screening is a method of detecting breast cancer at a very early stage which can reduce the mortality rate. Mammography is a standard method for the early diagnosis of breast canc...
Traffic speed data imputation method based on tensor completion.
Computational intelligence and neuroscience
Mar 3, 2015
Traffic speed data plays a key role in Intelligent Transportation Systems (ITS); however, missing traffic data would affect the performance of ITS as well as Advanced Traveler Information Systems (ATIS). In this paper, we handle this issue by a novel...
A comparative study of surface EMG classification by fuzzy relevance vector machine and fuzzy support vector machine.
Physiological measurement
Jan 9, 2015
We present a multiclass fuzzy relevance vector machine (FRVM) learning mechanism and evaluate its performance to classify multiple hand motions using surface electromyographic (sEMG) signals. The relevance vector machine (RVM) is a sparse Bayesian ke...
On fuzzy sampled-data control of chaotic systems via a time-dependent Lyapunov functional approach.
IEEE transactions on cybernetics
Aug 5, 2014
In this paper, a novel approach to fuzzy sampled-data control of chaotic systems is presented by using a time-dependent Lyapunov functional. The advantage of the new method is that the Lyapunov functional is continuous at sampling times but not neces...
A comparison of machine learning methods for classification using simulation with multiple real data examples from mental health studies.
Statistical methods in medical research
Sep 18, 2013
BACKGROUND: Recent literature on the comparison of machine learning methods has raised questions about the neutrality, unbiasedness and utility of many comparative studies. Reporting of results on favourable datasets and sampling error in the estimat...
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