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pro vyhledávání: '"Zhang, Leishi"'
Node overlap removal is a necessary step in many scenarios including laying out a graph, or visualizing a tag cloud. Our contribution is a new overlap removal algorithm that iteratively builds a Minimum Spanning Tree on a Delaunay triangulation of th
Externí odkaz:
http://arxiv.org/abs/1608.02653
Autor:
Wang, Shenbo, Yin, Shasha, Zhang, Ruiqin, Yang, Liuming, Zhao, Qingyan, Zhang, Leishi, Yan, Qishe, Jiang, Nan, Tang, Xiaoyan
Publikováno v:
In Science of the Total Environment 10 April 2019 660:47-56
Publikováno v:
In Atmospheric Research 1 February 2019 216:65-75
Autor:
Sacha, Dominik, Sedlmair, Michael, Zhang, Leishi, Lee, John A., Peltonen, Jaakko, Weiskopf, Daniel, North, Stephen C., Keim, Daniel A.
Publikováno v:
In Neurocomputing 13 December 2017 268:164-175
Publikováno v:
In Atmospheric Environment April 2017 154:151-166
Autor:
Yu, Fei, Yan, Qishe, Jiang, Nan, Su, Fangcheng, Zhang, Leishi, Yin, Shasha, Li, Yang, Zhang, Ruiqin, Chen, Liangfu
Publikováno v:
In Atmospheric Pollution Research January 2017 8(1):64-73
Autor:
Pérez, Daniel, Zhang, Leishi, Schaefer, Matthias, Schreck, Tobias, Keim, Daniel, Díaz, Ignacio
Publikováno v:
In Neurocomputing 20 February 2015 150 Part B:611-626
Akademický článek
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Criminal investigations are guided by repetitive and time-consuming information retrieval tasks, often with high risk and high consequence. If Artificial intelligence (AI) systems can automate lines of inquiry, it could reduce the burden on analysts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::6cf0ae73bcad0c715e4beb91c05f55aa
https://eprints.mdx.ac.uk/32174/1/Hepenstal-AA-HFES2020.pdf
https://eprints.mdx.ac.uk/32174/1/Hepenstal-AA-HFES2020.pdf
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting; September 2022, Vol. 66 Issue: 1 p2057-2061, 5p