AIMC Topic: Support Vector Machine

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A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging.

IEEE transactions on bio-medical engineering Aug 14, 2015
GOAL: The purpose of this paper is to develop a classification method that combines both spectral and spatial information for distinguishing cancer from healthy tissue on hyperspectral images in an animal model.
Support Vector Machine Animals Decision Trees Neoplasms Fluorescent Dyes Female Mice Image Interpretation, Computer-Assisted Optical Imaging
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A Novel Classification Algorithm Based on Incremental Semi-Supervised Support Vector Machine.

PloS one Aug 14, 2015
For current computational intelligence techniques, a major challenge is how to learn new concepts in changing environment. Traditional learning schemes could not adequately address this problem due to a lack of dynamic data selection mechanism. In th...
Support Vector Machine Algorithms Models, Theoretical
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Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset.

Artificial intelligence in medicine Aug 13, 2015
OBJECTIVE: This paper presents benchmarking results of human epithelial type 2 (HEp-2) interphase cell image classification methods on a very large dataset. The indirect immunofluorescence method applied on HEp-2 cells has been the gold standard to i...
Image Processing, Computer-Assisted Support Vector Machine Epithelial Cells Pattern Recognition, Automated Interphase Algorithms Connective Tissue Diseases Humans Sensitivity and Specificity Fluorescent Antibody Technique, Indirect Diagnosis, Computer-Assisted
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Identifying relevant group of miRNAs in cancer using fuzzy mutual information.

Medical & biological engineering & computing Aug 12, 2015
MicroRNAs (miRNAs) act as a major biomarker of cancer. All miRNAs in human body are not equally important for cancer identification. We propose a methodology, called FMIMS, which automatically selects the most relevant miRNAs for a particular type of...
Neoplasms Support Vector Machine Databases, Genetic Fuzzy Logic MicroRNAs Humans
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Automatic classification of apnea/hypopnea events through sleep/wake states and severity of SDB from a pulse oximeter.

Physiological measurement Aug 11, 2015
This study proposes a method of automatically classifying sleep apnea/hypopnea events based on sleep states and the severity of sleep-disordered breathing (SDB) using photoplethysmogram (PPG) and oxygen saturation (SpO2) signals acquired from a pulse...
Sensitivity and Specificity Male Middle Aged Algorithms Female Support Vector Machine Regression Analysis Sleep Apnea Syndromes Severity of Illness Index Diagnosis, Computer-Assisted Photoplethysmography Humans Oximetry Wakefulness Sleep
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Gastroesophageal Reflux Disease Diagnosis Using Hierarchical Heterogeneous Descriptor Fusion Support Vector Machine.

IEEE transactions on bio-medical engineering Aug 10, 2015
A new computer-aided diagnosis method is proposed to diagnose the gastroesophageal reflux disease (GERD) from endoscopic images of the esophageal-gastric junction. To avoid the interferences of different endoscope devices and automatic camera white b...
Image Interpretation, Computer-Assisted Gastroesophageal Reflux Support Vector Machine Endoscopy, Gastrointestinal Humans
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Global neural dynamic surface tracking control of strict-feedback systems with application to hypersonic flight vehicle.

IEEE transactions on neural networks and learning systems Aug 7, 2015
This paper studies both indirect and direct global neural control of strict-feedback systems in the presence of unknown dynamics, using the dynamic surface control (DSC) technique in a novel manner. A new switching mechanism is designed to combine an...
Feedback Support Vector Machine Models, Neurological Neurons Nonlinear Dynamics Humans Stochastic Processes Neural Networks, Computer
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A tool for developing an automatic insect identification system based on wing outlines.

Scientific reports Aug 7, 2015
For some insect groups, wing outline is an important character for species identification. We have constructed a program as the integral part of an automated system to identify insects based on wing outlines (DAIIS). This program includes two main fu...
Animals Computational Biology Support Vector Machine Algorithms Reproducibility of Results Pattern Recognition, Automated Species Specificity Wings, Animal Principal Component Analysis Insecta Image Interpretation, Computer-Assisted
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jEcho: an Evolved weight vector to CHaracterize the protein's posttranslational modification mOtifs.

Interdisciplinary sciences, computational life sciences Aug 6, 2015
Protein's posttranslational modification (PTM) represents a major dynamic regulation of protein functions after the translation of polypeptide chains from mRNA molecule. Compared with the costly and labor-intensive wet laboratory characterization of ...
Amino Acid Motifs Phosphorylation Data Mining Software Design Support Vector Machine Protein Processing, Post-Translational Databases, Protein
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Forecasting Seizures Using Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy.

PloS one Aug 4, 2015
Management of drug resistant focal epilepsy would be greatly assisted by a reliable warning system capable of alerting patients prior to seizures to allow the patient to adjust activities or medication. Such a system requires successful identificatio...
Models, Animal Aged, 80 and over Electrodes, Implanted Dogs Humans Animals Support Vector Machine Forecasting Telemetry Dog Diseases Electroencephalography ROC Curve Epilepsy
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