1. Adelaide Research & Scholarship

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Results 31-40 of 383 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2013Obesity results in progressive atrial structural and electrical remodeling: Implications for atrial fibrillationAbed, H.; Samuel, C.; Lau, D.; Kelly, D.; Royce, S.; Alasady, M.; Mahajan, R.; Kuklik, P.; Zhang, Y.; Brooks, A.; Nelson, A.; Worthley, S.; Abhayaratna, W.; Kalman, J.; Wittert, G.; Sanders, P.
2018Identification of ultrasonic echolucent carotid plaques using discrete Fréchet distance between bimodal gamma distributionsHuang, X.; Zhang, Y.; Meng, L.; Qian, M.; Wong, K.; Abbott, D.; Zheng, R.; Zheng, H.; Niu, L.
2017Self-paced kernel estimation for robust blind image deblurringGong, D.; Tan, M.; Zhang, Y.; Hengel, A.; Shi, Q.; IEEE International Conference on Computer Vision (ICCV 2017) (22 Oct 2017 - 29 Oct 2017 : Venice, ITALY)
2008European Communities -- Regime for the Importation, Sale and Distribution of Bananas: Panel Report on Second Recourse to Article 21.5 of the DSU by the United States : WT/DS27/RW/US/FRAnderson, K.; Haberli, C.; Zhang, Y.
2005Off-Line algorithms for minimizing total flow time in broadcast schedulingChan, W.; Chin, F.; Zhang, Y.; Zhu, H.; Shen, H.; Wong, P.; COCOON 2005 (2005 : Kunming Shi, China)
2017Item group recommendation: a method based on game theoryZhang, L.; Zhou, R.; Jiang, H.; Wang, H.; Zhang, Y.; 26th International Conference on World Wide Web Companion (3 Apr 2017 - 7 Apr 2017 : Geneva, Switzerland)
2003Experience in measuring internet backbone traffic variability: Models metrics measurements and meaningRoughan, M.; Greenberg, A.; Kalmanek, C.; Rumsewicz, M.; Yates, J.; Zhang, Y.; Charzinski, J.; Lehnert, R.; TranGia, P.; International Teletraffic Congress (18th : 2003 : Berlin, Germany)
2017Dynamic programming bipartite belief propagation for hyper graph matchingZhang, Z.; McAuley, J.; Li, Y.; Wei, W.; Zhang, Y.; Shi, Q.; Sierra, C.; International Joint Conference on Artificial Intelligence (IJCAI 2017) (19 Aug 2017 - 25 Aug 2017 : Melbourne, Australia)
2006Secure distributed data-mining and its application to large-scale network measurementsRoughan, M.; Zhang, Y.
2017From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blurGong, D.; Yang, J.; Liu, L.; Zhang, Y.; Reid, I.; Shen, C.; Hengel, A.; Shi, Q.; 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (21 Jul 2017 - 26 Jul 2017 : Honolulu, HI)

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