AIMC Topic: Support Vector Machine

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Investigation of Heterogeneity Sources for Occupational Task Recognition via Transfer Learning.

Sensors (Basel, Switzerland) Oct 8, 2021
Human activity recognition has been extensively used for the classification of occupational tasks. Existing activity recognition approaches perform well when training and testing data follow an identical distribution. However, in the real world, this...
Humans Support Vector Machine Recognition, Psychology Learning
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StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors.

Journal of computer-aided molecular design Oct 8, 2021
Fast and accurate identification of inhibitors with potency against HCV NS5B polymerase is currently a challenging task. As conventional experimental methods is the gold standard method for the design and development of new HCV inhibitors, they often...
Antiviral Agents Support Vector Machine Machine Learning Algorithms Hepatitis C Enzyme Inhibitors Viral Nonstructural Proteins Internet Hepacivirus Humans RNA-Dependent RNA Polymerase
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Prediction of lysine formylation sites using support vector machine based on the sample selection from majority classes and synthetic minority over-sampling techniques.

Biochimie Oct 7, 2021
Lysine formylation is a newly discovered and mostly interested type of post-translational modification (PTM) that is generally found on core and linker histone proteins of prokaryote and eukaryote and plays various important roles on the regulation o...
Protein Processing, Post-Translational Lysine Acylation Histones Animals Support Vector Machine Humans
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Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor.

Sensors (Basel, Switzerland) Oct 7, 2021
At present, people spend most of their time in passive rather than active mode. Sitting with computers for a long time may lead to unhealthy conditions like shoulder pain, numbness, headache, etc. To overcome this problem, human posture should be cha...
Bayes Theorem Adult Male Female Young Adult Support Vector Machine Smartphone Humans Monitoring, Physiologic Algorithms
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Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
Protein fold recognition is one of the most essential steps for protein structure prediction, aiming to classify proteins into known protein folds. There are two main computational approaches: one is the template-based method based on the alignment s...
Computational Biology Support Vector Machine Protein Folding Proteins Algorithms Pattern Recognition, Automated Sequence Analysis, Protein
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Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
X-ray crystallography is the most popular approach for analyzing protein 3D structure. However, the success rate of protein crystallization is very low (2-10 percent). To reduce the cost of time and resources, lots of computation-based methods are de...
Crystallization Fuzzy Logic Proteins Computational Biology Support Vector Machine Algorithms
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An Optimized Radiomics Model Based on Automated Breast Volume Scan Images to Identify Breast Lesions: Comparison of Machine Learning Methods: Comparison of Machine Learning Methods.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Oct 5, 2021
OBJECTIVES: To develop and test an optimized radiomics model based on multi-planar automated breast volume scan (ABVS) images to identify malignant and benign breast lesions.
Support Vector Machine Breast Machine Learning Humans Retrospective Studies
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Framework for classification of cancer gene expression data using Bayesian hyper-parameter optimization.

Medical & biological engineering & computing Oct 5, 2021
Computational classification of cancers is an important research problem. Gene expression data has 1000s of features, very few samples, and a class imbalance problem. In this paper, we have proposed a framework for the classification of cancer gene e...
Gene Expression Support Vector Machine Bayes Theorem Humans Algorithms Neoplasms
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Multi-Source Transfer Learning Via Multi-Kernel Support Vector Machine Plus for B-Mode Ultrasound-Based Computer-Aided Diagnosis of Liver Cancers.

IEEE journal of biomedical and health informatics Oct 5, 2021
B-mode ultrasound (BUS) imaging is a routine tool for diagnosis of liver cancers, while contrast-enhanced ultrasound (CEUS) provides additional information to BUS on the local tissue vascularization and perfusion to promote diagnostic accuracy. In th...
Humans Algorithms Ultrasonography Liver Neoplasms Support Vector Machine Computers Diagnosis, Computer-Assisted
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Optimization of running-in surface morphology parameters based on the AutoML model.

PloS one Oct 4, 2021
Running-in is an important and relatively complicated process. The surface morphology prior to running-in affects the surface morphology following the running-in process, which in turn influences the friction and wear characteristics of the workpiece...
Decision Trees Computer Simulation Lubrication Machine Learning Surface Properties Materials Testing Oils Support Vector Machine Forecasting Friction
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