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Tree species classification in an extensive forest area using airborne hyperspectral data under varying light conditions
Although airborne hyperspectral data with detailed spatial and spectral information has demonstrated significant potential for tree species...
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Temporal classification of short time series data
MotivationWithin the frame of their genetic capacity, organisms are able to modify their molecular state to cope with changing environmental...
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Multi-label classification with XGBoost for metabolic pathway prediction
BackgroundMetabolic pathway prediction is one possible approach to address the problem in system biology of reconstructing an organism’s metabolic...
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A taxonomy of anti-vaccination arguments from a systematic literature review and text modelling
The proliferation of anti-vaccination arguments is a threat to the success of many immunization programmes. Effective rebuttal of contrarian...
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Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models
As one of the most common female cancers, cervical cancer often develops years after a prolonged and reversible pre-cancerous stage. Traditional...
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SBMLKinetics: a tool for annotation-independent classification of reaction kinetics for SBML models
BackgroundReaction networks are widely used as mechanistic models in systems biology to reveal principles of biological systems. Reactions are...
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Sketching and sampling approaches for fast and accurate long read classification
BackgroundIn modern sequencing experiments, quickly and accurately identifying the sources of the reads is a crucial need. In metagenomics, where...
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Deep learning approach for cancer subtype classification using high-dimensional gene expression data
MotivationStudies have shown that classifying cancer subtypes can provide valuable information for a range of cancer research, from aetiology and...
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New proposal of viral genome representation applied in the classification of SARS-CoV-2 with deep learning
BackgroundIn December 2019, the first case of COVID-19 was described in Wuhan, China, and by July 2022, there were already 540 million confirmed...
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A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare
In many healthcare applications, datasets for classification may be highly imbalanced due to the rare occurrence of target events such as disease...
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Classification of FLT3 inhibitors and SAR analysis by machine learning methods
FMS-like tyrosine kinase 3 (FLT3) is a type III receptor tyrosine kinase, which is an important target for anti-cancer therapy. In this work, we...
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Deep mango cultivars: cultivar detection by classification method with maximum misidentification rate estimation
Deep learning techniques and computer vision systems offer effective fruit counting solutions for farm yield estimation. However, the performance of...
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Multi-country metabolic signature discovery for chicken health classification
IntroductionTo decrease antibiotic resistance, their use as growth promoters in the agricultural sector has been largely abandoned. This may lead to...
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An ensemble deep learning models approach using image analysis for cotton crop classification in AI-enabled smart agriculture
BackgroundAgriculture is one of the most crucial assets of any country, as it brings prosperity by alleviating poverty, food shortages, unemployment,...
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Machine learning based study for the classification of Type 2 diabetes mellitus subtypes
PurposeData-driven diabetes research has increased its interest in exploring the heterogeneity of the disease, aiming to support in the development...
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Genomic benchmarks: a collection of datasets for genomic sequence classification
BackgroundRecently, deep neural networks have been successfully applied in many biological fields. In 2020, a deep learning model AlphaFold won the...
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Molecular Property Diagnostic Suite Compound Library (MPDS-CL): a structure-based classification of the chemical space
Molecular Property Diagnostic Suite Compound Library (MPDS-CL) is an open-source Galaxy-based cheminformatics web portal which presents a...
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Sensor-based jump detection and classification with machine learning in trampoline gymnastics
The task of the judge of difficulty in trampoline gymnastics is to check the elements and difficulty values entered on the competition cards and the...
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Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection—an application in metabolomics studies
BackgroundSupervised classification methods have been used for many years for feature selection in metabolomics and other omics studies. We developed...
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Classification of multi-year and multi-variety pumpkin seeds using hyperspectral imaging technology and three-dimensional convolutional neural network
BackgroundPumpkin seeds are major oil crops with high nutritional value and high oil content. The collection and identification of different pumpkin...
