Results 1 to 10 of about 459,037 (316)
A Flame Detection Method Based on Novel Gradient Features
Journal of Intelligent Systems, 2018 In this study, we present a novel approach to efficiently detect the flame in multiple scenes in an image. The method uses a set of parametric representation named as Gradient Features (GF), to learn the features of flame color changes in the image ...
Liping Zhu +5 more
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HMD-Net: A Vehicle Hazmat Marker Detection Benchmark
Entropy, 2022 Vehicles carrying hazardous material (hazmat) are severe threats to the safety of highway transportation, and a model that can automatically recognize hazmat markers installed or attached on vehicles is essential for intelligent management systems ...
Lei Jia +5 more
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Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval
Entropy, 2022 Fine-grained image retrieval aims at searching relevant images among fine-grained classes given a query. The main difficulty of this task derives from the small interclass distinction and the large intraclass variance of fine-grained images, posing ...
Min Zheng, Yangliao Geng, Qingyong Li
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InformationInformation from social networks is currently being widely used in many application domains, although in the music recommendation area, its use is less common because of the limited availability of social data. However, most streaming platforms allow for
Diego Sánchez-Moreno +4 more
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An Improved Heteroscedastic Modeling Method for Chest X-ray Image Classification with Noisy Labels
Algorithms, 2023 Chest X-ray image classification suffers from the high inter-similarity in appearance that is vulnerable to noisy labels. The data-dependent and heteroscedastic characteristic label noise make chest X-ray image classification more challenging. To address
Qingji Guan, Qinrun Chen, Yaping Huang
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Radiogenomic-based prediction of genetic alterations in oncogenic signaling pathways in lung cancer
Egyptian Journal of Medical Human GeneticsRationale and objectives Lung adenocarcinoma, a type of non-small cell lung cancer (NSCLC), originates from the peripheral lung tissue and is the most prevalent histologic subtype, constituting around 40% of cases.
Priyadharshini Jayachandran +2 more
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A comprehensive evaluation of module detection methods for gene expression data
Nature Communications, 2018 Modules composed of groups of genes with similar expression profiles tend to be functionally related and co-regulated. Here, Saelens et al evaluate the performance of 42 computational methods and provide practical guidelines for module detection in gene ...
Wouter Saelens +2 more
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Weka: A machine learning workbench for data mining
, 2005 The Weka workbench is an organized collection of state-of-the-art machine learning algorithms and data preprocessing tools. The basic way of interacting with these methods is by invoking them from the command line.
Pfahringer, Bernhard +5 more
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Ubiquitous data stream mining [PDF]
, 2004 The dissemination of data stream systems, wireless networks and mobile devices motivates the need for an efficient data analysis tool capable of gaining insights about these continuous data streams.
Zaslavsky, Arkady +5 more
core
Medicine AdvancesBackground Clustered regularly interspaced short palindromic repeats —CRISPR‐associated protein 9 (CRISPR/Cas9) is a gene editing technology that can deliver highly precise genome editing.
Pavithra Nagendran +2 more
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