Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Joerg Sander"'
Publikováno v:
Briefings in Bioinformatics. 24
Determining the interacting proteins in multiprotein complexes can be technically challenging. An emerging biochemical approach to this end is based on the ‘thermal proximity co-aggregation’ (TPCA) phenomenon. Accordingly, when two or more protei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0048c79b7f3ab9420b223b5f3a34abd
https://doi.org/10.1093/bib/bbad143
https://doi.org/10.1093/bib/bbad143
Autor:
Joelson Antonio dos Santos, Joerg Sander, Talat Iqbal Syed, Ricardo J. G. B. Campello, Murilo Coelho Naldi
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Hierarchical density-based clustering is a powerful tool for exploratory data analysis, which can play an important role in the understanding and organization of datasets. However, its applicability to large datasets is limited because the computatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba3c39fda4d76602c114ef62d0feb675
https://doi.org/10.1109/tbdata.2019.2907624
https://doi.org/10.1109/tbdata.2019.2907624
Publikováno v:
Proceedings of the VLDB Endowment. 11:2058-2061
In this demonstration paper we introduce MustaCHE ( Multiple Clustering Hierarchies Explorer ), a tool that allows analysis and exploration of multiple clustering hierarchies in an interactive and visual manner. A known issue in the context of densit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fed1c50d2602ea5c0b964d2e98c56aa
https://doi.org/10.14778/3229863.3236259
https://doi.org/10.14778/3229863.3236259
Publikováno v:
IWCTS@SIGSPATIAL
Online trajectory prediction is central to the function of air traffic control of improving the flow of air traffic and preventing collisions, particularly considering the ever-increasing number of air travellers. In this paper, we propose an approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d7e73759f8a61965b4f8c875d2b0a80
https://doi.org/10.1145/3357000.3366144
https://doi.org/10.1145/3357000.3366144
Publikováno v:
ICDM
HDBSCAN*, a state-of-the-art density-based hierarchical clustering method, produces a hierarchical organization of clusters in a dataset w.r.t. a parameter mpts. While the performance of HDBSCAN* is robust w.r.t. mpts in the sense that a small change
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90b1b4016c7fc9443437cdb40df7ba55
Publikováno v:
DSAA
Active semi-supervised learning can play an important role in classification scenarios in which labeled data are difficult to obtain, while unlabeled data can be easily acquired. This paper focuses on an active semi-supervised algorithm that can be d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddda634bcafad13fb6d57beb8b0b39fa
https://doi.org/10.1109/dsaa.2016.9
https://doi.org/10.1109/dsaa.2016.9
Publikováno v:
DSAA
Swersky, L, Marques, H O, Sander, J, Campello, R J G B & Zimek, A 2016, On the Evaluation of Outlier Detection and One-Class Classification Methods . in R Bilof (ed.), 3rd IEEE International Conference on Data Science and Advanced Analytics : DSAA 2016 . vol. 2016, IEEE Press, pp. 1-10, 3rd IEEE International Conference on Data Science and Advanced Analytics, Montreal, Canada, 17/10/2016 . https://doi.org/10.1109/DSAA.2016.8
Swersky, L, Marques, H O, Sander, J, Campello, R J G B & Zimek, A 2016, On the Evaluation of Outlier Detection and One-Class Classification Methods . in R Bilof (ed.), 3rd IEEE International Conference on Data Science and Advanced Analytics : DSAA 2016 . vol. 2016, IEEE Press, pp. 1-10, 3rd IEEE International Conference on Data Science and Advanced Analytics, Montreal, Canada, 17/10/2016 . https://doi.org/10.1109/DSAA.2016.8
It has been shown that unsupervised outlier detection methods can be adapted to the one-class classification problem. In this paper, we focus on the comparison of oneclass classification algorithms with such adapted unsupervised outlier detection met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1ae1e7718ff533115b04bcbd9d46bdb
https://doi.org/10.1109/dsaa.2016.8
https://doi.org/10.1109/dsaa.2016.8
Autor:
Joerg Sander
Publikováno v:
Encyclopedia of Machine Learning and Data Mining ISBN: 9781489975027
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::267f91be48e9b6545ac7b973c3c8bc09
https://doi.org/10.1007/978-1-4899-7502-7_70-1
https://doi.org/10.1007/978-1-4899-7502-7_70-1
Publikováno v:
Progress in Organic Coatings. 73:88-94
The incorporation of nano-sized inorganic pigment particles into organic coatings may offer the potential for improving many of their properties, including corrosion resistance, at relatively low loadings. In the present research, titanium dioxide wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f9ef6fc24427fc523c01d5a86c1ac7b
https://doi.org/10.1016/j.porgcoat.2011.09.004
https://doi.org/10.1016/j.porgcoat.2011.09.004