AIMC Topic: Pattern Recognition, Automated
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Cascaded Adaptation Framework for Fast Calibration of Myoelectric Control.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 3, 2016
In spite of several decades of intensive research and development, the existing algorithms of myoelectric pattern recognition (MPR) are yet to make significant clinical and commercial impact. This study focuses on the one of the limiting factors of c...
Pattern Classification of Instantaneous Cognitive Task-load Through GMM Clustering, Laplacian Eigenmap, and Ensemble SVMs.
IEEE/ACM transactions on computational biology and bioinformatics
May 3, 2016
The identification of the temporal variations in human operator cognitive task-load (CTL) is crucial for preventing possible accidents in human-machine collaborative systems. Recent literature has shown that the change of discrete CTL level during hu...
A framework for the automatic detection and characterization of brain malformations: Validation on the corpus callosum.
Medical image analysis
May 3, 2016
In this paper, we extend the one-class Support Vector Machine (SVM) and the regularized discriminative direction analysis to the Multiple Kernel (MK) framework, providing an effective analysis pipeline for the detection and characterization of brain ...
Evaluation of a Home Biomonitoring Autonomous Mobile Robot.
Computational intelligence and neuroscience
Apr 24, 2016
Increasing population age demands more services in healthcare domain. It has been shown that mobile robots could be a potential solution to home biomonitoring for the elderly. Through our previous studies, a mobile robot system that is able to track ...
Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Apr 23, 2016
BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent behavioral disorders in childhood and adolescence. Recently, network-based diagnosis of ADHD has attracted great attentions due to the fact that ADHD disease is ...
A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition.
IEEE transactions on cybernetics
Apr 21, 2016
This paper proposes a facial expression recognition system using evolutionary particle swarm optimization (PSO)-based feature optimization. The system first employs modified local binary patterns, which conduct horizontal and vertical neighborhood pi...
Folded concave penalized learning in identifying multimodal MRI marker for Parkinson's disease.
Journal of neuroscience methods
Apr 19, 2016
BACKGROUND: Brain MRI holds promise to gauge different aspects of Parkinson's disease (PD)-related pathological changes. Its analysis, however, is hindered by the high-dimensional nature of the data.
Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning.
Database : the journal of biological databases and curation
Apr 17, 2016
Medicinal chemistry patents contain rich information about chemical compounds. Although much effort has been devoted to extracting chemical entities from scientific literature, limited numbers of patent mining systems are publically available, probab...
Respiratory Artefact Removal in Forced Oscillation Measurements: A Machine Learning Approach.
IEEE transactions on bio-medical engineering
Apr 15, 2016
GOAL: Respiratory artefact removal for the forced oscillation technique can be treated as an anomaly detection problem. Manual removal is currently considered the gold standard, but this approach is laborious and subjective. Most existing automated t...
Improvements on ν-Twin Support Vector Machine.
Neural networks : the official journal of the International Neural Network Society
Apr 12, 2016
In this paper, we propose two novel binary classifiers termed as "Improvements on ν-Twin Support Vector Machine: Iν-TWSVM and Iν-TWSVM (Fast)" that are motivated by ν-Twin Support Vector Machine (ν-TWSVM). Similar to ν-TWSVM, Iν-TWSVM determines two ...
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