31 Result(s)
within
**u Tao
Computational Biology/Bioinformatics
Data Mining and Knowledge Discovery
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Article
Retraction Note: A streak detection approach for comprehensive two-dimensional gas chromatography based on image analysis
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Article
Open AccessA new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement
Digital image noise may be introduced during acquisition, transmission, or processing and affects readability and image processing effectiveness. The accuracy of established image processing techniques, such a...
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Article
Correction to: TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems
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Open AccessNeuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3
Deep neural networks (DNNs) have delivered unprecedented achievements in the modern Internet of Everything society, encompassing autonomous driving, expert diagnosis, unmanned supermarkets, etc. It continues t...
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Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19
This study proposes a novel interpretable framework to forecast the daily tourism volume of Jiuzhaigou Valley, Huangshan Mountain, and Siguniang Mountain in China under the impact of COVID-19 by using multivar...
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DCU-Net: a dual-channel U-shaped network for image splicing forgery detection
The detection and location of image splicing forgery are a challenging task in the field of image forensics. It is to study whether an image contains a suspicious tampered area pasted from another image. In th...
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Open AccessIdentification of missing hierarchical relations in the vaccine ontology using acquired term pairs
The Vaccine Ontology (VO) is a biomedical ontology that standardizes vaccine annotation. Errors in VO will affect a multitude of applications that it is being used in. Quality assurance of VO is imperative to ...
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Open AccessMulti-view dual attention network for 3D object recognition
The existing view-based 3D object classification and recognition methods ignore the inherent hierarchical correlation and distinguishability of views, making it difficult to further improve the classification ...
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Open AccessPrescreening and treatment of aortic dissection through an analysis of infinite-dimension data
Aortic dissection (AD) is one of the most catastrophic aortic diseases associated with a high mortality rate. In contrast to the advances in most cardiovascular diseases, both the incidence and in-hospital mor...
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Open AccessDeep learning methods improve linear B-cell epitope prediction
B-cell epitopes play important roles in vaccine design, clinical diagnosis, and antibody production. Although some models have been developed to predict linear or conformational B-cell epitopes, their performa...
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Open AccessRepresenting vaccine misinformation using ontologies
In this paper, we discuss the design and development of a formal ontology to describe misinformation about vaccines. Vaccine misinformation is one of the drivers leading to vaccine hesitancy in patients. While...
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Open AccessBuilding a semantic web-based metadata repository for facilitating detailed clinical modeling in cancer genome studies
Detailed Clinical Models (DCMs) have been regarded as the basis for retaining computable meaning when data are exchanged between heterogeneous computer systems. To better support clinical cancer data capturing...
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Open AccessModulated evaluation metrics for drug-based ontologies
Research for ontology evaluation is scarce. If biomedical ontological datasets and knowledgebases are to be widely used, there needs to be quality control and evaluation for the content and structure of the on...
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Open AccessOptimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets
Analysing public opinions on HPV vaccines on social media using machine learning based approaches will help us understand the reasons behind the low vaccine coverage and come up with corresponding strategies t...
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Open AccessTrivalent influenza vaccine adverse symptoms analysis based on MedDRA terminology using VAERS data in 2011
Trivalent Influenza Virus Vaccine (FLU3) is a traditional flu vaccine to protect people against three different flu viruses, including influenza A H1N1 virus, an influenza A H3N2 virus and one B virus.
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Open AccessErratum to: Extracting drug-enzyme relation from literature as evidence for drug drug interaction
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Open AccessExtracting drug-enzyme relation from literature as evidence for drug drug interaction
Information about drug–drug interactions (DDIs) is crucial for computational applications such as pharmacovigilance and drug repurposing. However, existing sources of DDIs have the problems of low coverage, lo...
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Open AccessVaccine and Drug Ontology Studies (VDOS 2014)
The “Vaccine and Drug Ontology Studies” (VDOS) international workshop series focuses on vaccine- and drug-related ontology modeling and applications. Drugs and vaccines have been critical to prevent and treat ...
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Open AccessIdentification of sex-associated network patterns in Vaccine-Adverse Event Association Network in VAERS
Vaccines are one of the most important public health successes in last century. Besides effectiveness in reducing the morbidity and mortality from many infectious diseases, a successful vaccine program also re...
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Open AccessDevelo** VISO: Vaccine Information Statement Ontology for patient education
To construct a comprehensive vaccine information ontology that can support personal health information applications using patient-consumer lexicon, and lead to outcomes that can improve patient education.
