AIMC Topic: Algorithms

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Automated EEG artifact elimination by applying machine learning algorithms to ICA-based features.

Journal of neural engineering
OBJECTIVE: Biological and non-biological artifacts cause severe problems when dealing with electroencephalogram (EEG) recordings. Independent component analysis (ICA) is a widely used method for eliminating various artifacts from recordings. However,...

CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies.

Bioinformatics (Oxford, England)
MOTIVATION: Detecting epistatic interactions in genome-wide association studies (GWAS) is a computational challenge. Such huge numbers of single-nucleotide polymorphism (SNP) combinations limit the some of the powerful algorithms to be applied to det...

Toolkits and Libraries for Deep Learning.

Journal of digital imaging
Deep learning is an important new area of machine learning which encompasses a wide range of neural network architectures designed to complete various tasks. In the medical imaging domain, example tasks include organ segmentation, lesion detection, a...

An evaluation of scanpath-comparison and machine-learning classification algorithms used to study the dynamics of analogy making.

Behavior research methods
In recent years, eyetracking has begun to be used to study the dynamics of analogy making. Numerous scanpath-comparison algorithms and machine-learning techniques are available that can be applied to the raw eyetracking data. We show how scanpath-com...

Prediction of the aquatic toxicity of aromatic compounds to tetrahymena pyriformis through support vector regression.

Oncotarget
Toxicity evaluation is an extremely important process during drug development. It is usually initiated by experiments on animals, which is time-consuming and costly. To speed up such a process, a quantitative structure-activity relationship (QSAR) st...

Grouped fuzzy SVM with EM-based partition of sample space for clustered microcalcification detection.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Detection of clustered microcalcification (MC) from mammograms plays essential roles in computer-aided diagnosis for early stage breast cancer.

The force control and path planning of electromagnetic induction-based massage robot.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Massage robot is considered as an effective physiological treatment to relieve fatigue, improve blood circulation, relax muscle tone, etc. The simple massage equipment quickly spread into market due to low cost, but they are not widely ac...

Label-free detection of aggregated platelets in blood by machine-learning-aided optofluidic time-stretch microscopy.

Lab on a chip
According to WHO, about 10 million new cases of thrombotic disorders are diagnosed worldwide every year. Thrombotic disorders, including atherothrombosis (the leading cause of death in the US and Europe), are induced by occlusion of blood vessels, du...