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Mutational signatures in hematological malignancies. [PDF]

Einstein (Sao Paulo)
Sartori FA, Pontes JVP, Campregher PV, LaFramboise T.   +3 more
europepmc   +1 more source

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UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data

2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017
With the ever growing collection of large volumes of scientific data, development of interpretable machine learning tools to analyze such data is becoming more important. However, robust, interpretable machine learning tools are lacking, threatening extraction of scientific insight and discovery.
Shashanka Ubaru, Kristofer E Bouchard, Kesheng Wu   +2 more
exaly   +2 more sources

Adaptive computation of the Symmetric Nonnegative Matrix Factorization (NMF)

, 2018
Nonnegative Matrix Factorization (NMF), first proposed in 1994 for data analysis, has received successively much attention in a great variety of contexts such as data mining, text clustering, computer vision, bioinformatics, etc. In this paper the case of a symmetric matrix is considered and the symmetric nonnegative matrix factorization (SymNMF) is ...
P. Favati (1), G. Lotti (2), O. Menchi (3), F. Romani (3)   +3 more
openaire   +2 more sources

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 0001, Yuanman Li
openaire   +2 more sources

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 M. Dahwa Abdulla, Martin Polovincak, Václav Snásel   +2 more
openaire   +3 more sources

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
openaire   +2 more sources

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 0001, Yuanman Li
openaire   +1 more source

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