Zobrazeno 1 - 10
of 385
pro vyhledávání: '"Zupan Blaž"'
Autor:
Poličar, Pavlin G., Zupan, Blaž
Two-dimensional embeddings obtained from dimensionality reduction techniques, such as MDS, t-SNE, and UMAP, are widely used across various disciplines to visualize high-dimensional data. These visualizations provide a valuable tool for exploratory da
Externí odkaz:
http://arxiv.org/abs/2406.04808
Autor:
Poličar, Pavlin G., Zupan, Blaž
Many real-world data sets contain a temporal component or involve transitions from state to state. For exploratory data analysis, we can represent these high-dimensional data sets in two-dimensional maps, using embeddings of the data objects under ex
Externí odkaz:
http://arxiv.org/abs/2403.19040
Two-dimensional data maps can visually reveal information about the relations between data instances. Popular techniques to construct data maps are t-SNE and UMAP. The resulting point-based visualizations, though, provide information only through the
Externí odkaz:
http://arxiv.org/abs/2110.00462
Increasing reliance on mobile broadband (MBB) networks for communication, vehicle navigation, healthcare, and other critical purposes calls for improved monitoring and troubleshooting of such networks. While recent advances in monitoring with crowdso
Externí odkaz:
http://arxiv.org/abs/1901.07287
Akademický článek
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Autor:
Zitnik, Marinka, Zupan, Blaz
Publikováno v:
Journal of Machine Learning Research 13 (2012) 849-853
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factorization methods, initialization approaches, and quality scoring. It support
Externí odkaz:
http://arxiv.org/abs/1808.01743
Autor:
Zitnik, Marinka, Zupan, Blaz
Publikováno v:
Bioinformatics, 32 (12): i90-i100 (2016)
Motivation: The rapid growth of diverse biological data allows us to consider interactions between a variety of objects, such as genes, chemicals, molecular signatures, diseases, pathways and environmental exposures. Often, any pair of objects--such
Externí odkaz:
http://arxiv.org/abs/1708.03392
Akademický článek
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Publikováno v:
In Computer Networks 4 August 2020 177
Autor:
Žitnik, Marinka, Zupan, Blaž
Publikováno v:
Marinka Zitnik and Blaz Zupan. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(1):41-53 (2015)
For most problems in science and engineering we can obtain data sets that describe the observed system from various perspectives and record the behavior of its individual components. Heterogeneous data sets can be collectively mined by data fusion. F
Externí odkaz:
http://arxiv.org/abs/1307.0803