AIMC Topic: Algorithms

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Unsupervised robust discriminative manifold embedding with self-expressiveness.

Neural networks : the official journal of the International Neural Network Society Jan 11, 2019
Dimensionality reduction has obtained increasing attention in the machine learning and computer vision communities due to the curse of dimensionality. Many manifold embedding methods have been proposed for dimensionality reduction. Many of them are s...
Algorithms Unsupervised Machine Learning Pattern Recognition, Automated Humans
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Evolving Gaussian Process Autoregression Based Learning of Human Motion Intent Using Improved Energy Kernel Method of EMG.

IEEE transactions on bio-medical engineering Jan 10, 2019
Continuous human motion intent learning may be modeled using a Gaussian process (GP) autoregression based evolving system to cope with the unspecified and time-varying motion patterns. Electromyography (EMG) signals are the primary input. GP is used ...
Young Adult Adult Intention Biomechanical Phenomena Humans Male Normal Distribution Signal Processing, Computer-Assisted Machine Learning Exoskeleton Device Electromyography Algorithms
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CorNET: Deep Learning Framework for PPG-Based Heart Rate Estimation and Biometric Identification in Ambulant Environment.

IEEE transactions on biomedical circuits and systems Jan 10, 2019
Advancements in wireless sensor network technologies have enabled the proliferation of miniaturized body-worn sensors, capable of long-term pervasive biomedical signal monitoring. Remote cardiovascular monitoring has been one of the beneficiaries of ...
Deep Learning Biometric Identification Photoplethysmography Humans Algorithms Signal Processing, Computer-Assisted Walking Heart Rate Electrocardiography
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EEG correlation at a distance: A re-analysis of two studies using a machine learning approach.

F1000Research Jan 10, 2019
In this paper, data from two studies relative to the relationship between the electroencephalogram (EEG) activities of two isolated and physically separated subjects were re-analyzed using machine-learning algorithms. The first dataset comprises the...
Acoustic Stimulation Algorithms Electroencephalography Machine Learning
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Prediction of Recurrence after Transsphenoidal Surgery for Cushing's Disease: The Use of Machine Learning Algorithms.

Neuroendocrinology Jan 10, 2019
BACKGROUND: There are no reliable predictive models for recurrence after transsphenoidal surgery (TSS) for Cushing's disease (CD).
Algorithms Retrospective Studies Risk Factors Young Adult Female Humans Machine Learning Pituitary ACTH Hypersecretion Models, Statistical Data Mining Adult Recurrence Male
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Automatic lung nodule detection using multi-scale dot nodule-enhancement filter and weighted support vector machines in chest computed tomography.

PloS one Jan 10, 2019
A novel CAD scheme for automated lung nodule detection is proposed to assist radiologists with the detection of lung cancer on CT scans. The proposed scheme is composed of four major steps: (1) lung volume segmentation, (2) nodule candidate extractio...
Solitary Pulmonary Nodule False Positive Reactions Humans Lung Neoplasms Algorithms Support Vector Machine Tomography, X-Ray Computed Lung Imaging, Three-Dimensional
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A review on machine learning methods for in silico toxicity prediction.

Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews Jan 10, 2019
In silico toxicity prediction plays an important role in the regulatory decision making and selection of leads in drug design as in vitro/vivo methods are often limited by ethics, time, budget, and other resources. Many computational methods have bee...
Computer Simulation Machine Learning Quantitative Structure-Activity Relationship Support Vector Machine Algorithms Toxicity Tests Environmental Pollutants
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Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework.

IEEE journal of biomedical and health informatics Jan 9, 2019
The accumulating evidences regarding circular RNAs (circRNAs) indicate that they play crucial roles in a wide range of biological processes and participate in tumorigenesis and progression. The number of newly discovered circRNAs have increased drama...
Coronary Artery Disease RNA, Circular Machine Learning Algorithms Computational Biology Area Under Curve Neoplasms Humans
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Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation.

IEEE journal of biomedical and health informatics Jan 9, 2019
Accurate and automatic organ segmentation is critical for computer-aided analysis towards clinical decision support and treatment planning. State-of-the-art approaches have achieved remarkable segmentation accuracy on large organs, such as the liver ...
Humans Neural Networks, Computer Algorithms Pancreas Adrenal Glands Gallbladder Fuzzy Logic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed
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Learning to detect chest radiographs containing pulmonary lesions using visual attention networks.

Medical image analysis Jan 9, 2019
Machine learning approaches hold great potential for the automated detection of lung nodules on chest radiographs, but training algorithms requires very large amounts of manually annotated radiographs, which are difficult to obtain. The increasing av...
Radiography, Thoracic Lung Diseases Datasets as Topic Algorithms Diagnosis, Computer-Assisted Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer
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