Hierarchical classification of microorganisms based on high-dimensional phenotypic data.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of biophotonics"
DOI: 10.1002/jbio.201700047
Abstract: The classification of microorganisms by high-dimensional phenotyping methods such as FTIR spectroscopy is often a complicated process due to the complexity of microbial phylogenetic taxonomy. A hierarchical structure developed for such data can often facilitate… read more here.
Keywords: high dimensional; classification; phenotypic data; hierarchical classification ... See more keywords
MRI‐based prostate cancer detection with high‐level representation and hierarchical classification
Sign Up to like & getrecommendations! Published in 2017 at "Medical Physics"
DOI: 10.1002/mp.12116
Abstract: Purpose: Extracting the high‐level feature representation by using deep neural networks for detection of prostate cancer, and then based on high‐level feature representation constructing hierarchical classification to refine the detection results. Methods: High‐level feature representation… read more here.
Keywords: detection; high level; prostate cancer; level ... See more keywords
Kernelized fuzzy rough sets based online streaming feature selection for large-scale hierarchical classification
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01863-5
Abstract: In recent years, many online streaming feature selection approaches focus on flat data, which means that all data are taken as a whole. However, in the era of big data, not only the feature space… read more here.
Keywords: streaming feature; online streaming; hierarchical classification; feature selection ... See more keywords
Hierarchical classification pathway for white maize, defect and foreign material classification using spectral imaging
Sign Up to like & getrecommendations! Published in 2021 at "Microchemical Journal"
DOI: 10.1016/j.microc.2020.105824
Abstract: Abstract This study aimed to present the South African maize industry with an accurate and affordable automated analytical technique for white maize grading using near infrared (NIR) spectral imaging. The 17 categories and sub-categories stipulated… read more here.
Keywords: classification; white maize; classification pathway; spectral imaging ... See more keywords
Translational utility of a hierarchical classification strategy in biomolecular data analytics
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DOI: 10.1038/s41598-017-14092-7
Abstract: Hierarchical classification (HC) stratifies and classifies data from broad classes into more specific classes. Unlike commonly used data classification strategies, this enables the probabilistic prediction of unknown classes at different levels, minimizing the burden of… read more here.
Keywords: bacterial species; classification; utility hierarchical; translational utility ... See more keywords
An Attention-Based Architecture for Hierarchical Classification With CNNs
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3263472
Abstract: Branch Convolutional Neural Nets have become a popular approach for hierarchical classification in computer vision and other areas. Unfortunately, these models often led to hierarchical inconsistency: predictions for the different hierarchy levels do not necessarily… read more here.
Keywords: hierarchical classification; classification; based architecture; architecture hierarchical ... See more keywords
Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2936801
Abstract: Deep learning models often use a flat softmax layer to classify samples after feature extraction in visual classification tasks. However, it is hard to make a single decision of finding the true label from massive… read more here.
Keywords: tree large; hierarchical classification; fuzzy tree; deep fuzzy ... See more keywords
Granularity Selection for Hierarchical Classification Based on Uncertainty Measure
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3161747
Abstract: Feature selection is an important preprocessing step for high-dimensional data mining and machine learning; it is viewed as the selection of the optimal granularity to describe the target concept in rough set theory. Currently, research… read more here.
Keywords: hierarchical classification; uncertainty; granularity selection; granularity ... See more keywords
A Hierarchical Feature-Based Methodology to Perform Cervical Cancer Classification
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11094091
Abstract: Prevention of cervical cancer could be performed using Pap smear image analysis. This test screens pre-neoplastic changes in the cervical epithelial cells; accurate screening can reduce deaths caused by the disease. Pap smear test analysis… read more here.
Keywords: methodology; hierarchical classification; classification; cervical cancer ... See more keywords
Unsupervised Hierarchical Classification Approach for Imprecise Data in the Breast Cancer Detection
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24070926
Abstract: (1) Background: in recent years, a lot of the research of statistical methods focused on the classification problem in presence of imprecise data. A particular case of imprecise data is the interval-valued data. Following this… read more here.
Keywords: classification; breast cancer; hierarchical classification; imprecise data ... See more keywords