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Concise network models of memory dynamics reveal explainable patterns in path data. [PDF]

Sci Adv
Sahasrabuddhe R, Lambiotte R, Rosvall M.
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Lactylation-related gene signatures define immune heterogeneity and provide diagnostic biomarkers for periodontitis. [PDF]

Sci Rep
Zhu Y, Zhang X, Wei L, Bai Y, Wang T, Guo Y, Chen M, Jia S, Zhang X.   +8 more
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A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma. [PDF]

Sci Rep
Li Q, Feng P, Liu S, Tian G, Yuan G, Pan Y.   +5 more
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Cell free RNA detection of pancreatic cancer in pre diagnostic high risk and symptomatic patients. [PDF]

Nat Commun
Moore TW, Spiliotopoulos E, Callahan RL, Kirschbaum CW, Bailey CF, Kim HJ, Roskams-Hieter B, Goncalves F, Keith D, Grossberg AJ, Spellman PT, Mills GB, Sears RC, Morgan TK, Ngo TTM.   +14 more
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Secure and Verifiable Outsourcing of Large-Scale Nonnegative Matrix Factorization (NMF)

IEEE Transactions on Services Computing, 2021
Nowadays, cloud computing platforms are becoming increasingly prevalent and readily available, providing alternative and economic services for resource-constrained clients to perform large-scale computations. This work addresses the problem of secure outsourcing of large-scale nonnegative matrix factorization (NMF) to a cloud in a way that the client ...
Jia Duan, Jiantao Zhou, Yuanman Li
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Source apportionment of atmospheric particle number concentrations with wide size range by nonnegative matrix factorization (NMF)

Environmental Pollution, 2021
Quantifying the sources of atmospheric particles is essential to air quality control but remains challenging, especially for the source apportionment of particles based on number concentration with wide size range. Here, particle number concentrations (PNC) with size range 19-20,000 nm involving four modes Nucleation, Aitken, Accumulation, and Coarse ...
Chun-Sheng Liang, Dingli Yue, Hao Wu, Jin-Sen Shi, Ke-Bin He   +4 more
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Search Results Clustering Using Nonnegative Matrix Factorization (NMF)

2009 International Conference on Advances in Social Network Analysis and Mining, 2009
There are many search engines in the web and when asked, they return a long list of search results, ranked by their relevancies to the given query. Web users have to go through the list and examine the titles and (short) snippets sequentially to identify their required results. In this paper we present how usage of Nonnegative Matrix Factorization (NMF)
Hussam Dahwa Abdulla, Martin Polovincak, Vaclav Snasel   +2 more
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Clustering data using a Nonnegative Matrix Factorization (NMF)

2009 Second International Conference on the Applications of Digital Information and Web Technologies, 2009
There are many search engines in the web and when asked, they return a long list of search results, ranked by their relevancies to the given query. Web users have to go through the list and examine the titles and (short) snippets sequentially to identify their required results. In this paper we present how usage of Nonnegative Matrix Factorization (NMF)
Hussam Dahwa Abdulla, Martin Polovincak, Vaclav Snasel   +2 more
openaire   +1 more source

Secure and Verifiable Outsourcing of Nonnegative Matrix Factorization (NMF)

Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security, 2016
Cloud computing platforms are becoming increasingly prevalent and readily available nowadays, providing us alternative and economic services for resource-constrained clients to perform large-scale computation. In this work, we address the problem of secure outsourcing of large-scale nonnegative matrix factorization (NMF) to a cloud in a way that the ...
Jia Duan, Jiantao Zhou, Yuanman Li
openaire   +1 more source

Extraction of Food Consumption Systems by Nonnegative Matrix Factorization (NMF) for the Assessment of Food Choices

Biometrics, 2011
In Western countries where food supply is satisfactory, consumers organize their diets around a large combination of foods. It is the purpose of this article to examine how recent nonnegative matrix factorization (NMF) techniques can be applied to food consumption data to understand these combinations.
Zetlaoui, Mélanie, Feinberg, Max, Verger, Philippe, Clémençon, Stéphan   +3 more
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