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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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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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Data Mining Techniques in Cancer Research Area [PDF]
, 2014 In this paper we present an analysis of the prediction of survivability on different attributes, rate ofbreast cancer patients using data mining techniques. The data used is the real data.
Sant, Anjali; BITS, Bhopa +1 more
core +1 more source
Distributed classification for pocket data mining [PDF]
, 2011 Distributed and collaborative data stream mining in a mobile computing environment is referred to as Pocket Data Mining PDM. Large amounts of available data streams to which smart phones can subscribe to or sense, coupled with the increasing ...
Philip S. Yu +14 more
core +1 more source
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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Pocket data mining: towards collaborative data mining in mobile computing environments [PDF]
, 2010 Pocket Data Mining (PDM) is our new term describing collaborative mining of streaming data in mobile and distributed computing environments. With sheer amounts of data streams are now available for subscription on our smart mobile phones, the potential ...
Frederic Stahl +11 more
core +1 more source
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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Data preparation for data mining
Applied Artificial Intelligence, 2003 Data preparation is a fundamental stage of data analysis. While a lot of low-quality information is available in various data sources and on the Web, many organizations or companies are interested in how to transform the data into cleaned forms which can be used for high-profit purposes.
Shichao Zhang 0001 +2 more
openaire +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source