AIMC Topic:
Supervised Machine Learning

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Applying Machine Learning to Classify the Origins of Gene Duplications.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2023
Nearly all lineages of land plants have experienced at least one whole-genome duplication (WGD) in their history. The legacy of these ancient WGDs is still observable in the diploidized genomes of extant plants. Genes originating from WGD-paleologs-c...
Machine Learning Genomics Supervised Machine Learning Chemical Fractionation Gene Duplication
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An end-to-end multi-task system of automatic lesion detection and anatomical localization in whole-body bone scintigraphy by deep learning.

Bioinformatics (Oxford, England) Jan 1, 2023
SUMMARY: Limited by spatial resolution and visual contrast, bone scintigraphy interpretation is susceptible to subjective factors, which considerably affects the accuracy and repeatability of lesion detection and anatomical localization. In this work...
Algorithms Retrospective Studies Deep Learning Image Processing, Computer-Assisted Supervised Machine Learning Radionuclide Imaging
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FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites.

Briefings in bioinformatics Nov 19, 2022
Glutarylation is a post-translational modification which plays an irreplaceable role in various functions of the cell. Therefore, it is very important to accurately identify the glutarylation substrates and its corresponding glutarylation sites. In r...
Algorithms Computational Biology Support Vector Machine Protein Processing, Post-Translational Amino Acids Supervised Machine Learning
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Important feature identification for perceptual sex of point-light walkers using supervised machine learning.

Journal of vision Nov 1, 2022
The present study aimed to elucidate the dynamic features that are highly predictive in the biological and perceptual sex classification of point-light walkers (PLWs) and how these features behave in sex classification using supervised machine learni...
Humans Machine Learning Female Male Support Vector Machine Supervised Machine Learning Motion Cues
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Semi-supervised Long-tail Endoscopic Image Classification.

Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih Sep 30, 2022
Objective To explore the semi-supervised learning (SSL) algorithm for long-tail endoscopic image classification with limited annotations. Method We explored semi-supervised long-tail endoscopic image classification in HyperKvasir, the largest gastroi...
Algorithms Supervised Machine Learning
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KLFDAPC: a supervised machine learning approach for spatial genetic structure analysis.

Briefings in bioinformatics Jul 18, 2022
Geographic patterns of human genetic variation provide important insights into human evolution and disease. A commonly used tool to detect and describe them is principal component analysis (PCA) or the supervised linear discriminant analysis of princ...
Humans Polymorphism, Single Nucleotide Principal Component Analysis Discriminant Analysis Supervised Machine Learning Genetics, Population Genetic Structures
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Evaluation Tool to Diagnose Faults and Discrepancy in Semi-Automated or Manual Annotations in Ultrasound Cine Loops (Videos).

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Good quality (annotated) data is one of the most important aspects of supervised deep learning. Tasks such as semantic segmentation have a huge data requirement in exchange for only satisfactory performance. Large-scale annotations spread across mult...
Algorithms Ultrasonography Supervised Machine Learning Semantics
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Sequential Learning on sEMGs in Short- and Long-term Situations via Self-training Semi-supervised Support Vector Machine.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
The purpose of this study it to assess the effect of sequential learning of self-training support vector machine (ST-S3VM) on short- and long-term surface electromyogram (sEMG) datasets. A machine learning-based supervised classi-fier is enabling sta...
Machine Learning Algorithms Support Vector Machine Supervised Machine Learning
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Image-Level Uncertainty in Pseudo-Label Selection for Semi-Supervised Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Advancements in deep learning techniques have proved useful in biomedical image segmentation. However, the large amount of unlabeled data inherent in biomedical imagery, particularly in digital pathology, creates a semi-supervised learning paradigm. ...
Algorithms Supervised Machine Learning Uncertainty
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Learning to Segment Fine Structures Under Image-Level Supervision With an Application to Nematode Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Image segmentation models trained only with image-level labels have become increasingly popular as they require significantly less annotation effort than models trained with scribble, bounding box or pixel-wise annotations. While methods utilizing im...
Animals Deep Learning Supervised Machine Learning Nematoda
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