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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2021-10-09
09:30		 Online Online Explaining Adversarial Examples by the Embedding Structure of Data Manifold
Hajime Tasaki, Yuji Kaneko, Jinhui Chao (Chuo Univ.) PRMU2021-19		 It is widely known that adversarial examples cause misclassification in classifiers using deep learning. Inspite of nume... [more] PRMU2021-19
pp.17-21
MSS, CAS 2007-11-29
13:25		 Niigata Niigata University A Heuristic Algorithm to Compute Parallel Degree of Well-Structured Workflow Nets by Considering Longest Path
Yuji Kaneko, Shingo Yamaguchi, Qi-Wei Ge, Minoru Tanaka (Yamaguchi Univ.) CAS2007-68 CST2007-19		 In this paper, we propose a heuristic algorithm to compute parallel degree, PARAdeg, of a well-structured WF-net by cons... [more] CAS2007-68 CST2007-19
pp.7-10
MSS 2007-01-26
13:50		 Tokyo Kikai-Shinko-Kaikan Bldg. On Structural Analysis and Approximate Computation of PARAdeg for Well-Structured Workflow Nets
Yuji Kaneko, Shingo Yamaguchi, Qi-Wei Ge, Minoru Tanaka (Yamaguchi Univ.) 		 [more] CST2006-40
pp.13-18
MSS 2006-01-27
10:10		 Kanagawa Toshiba Kagaku-Kan On Soundness and Parallel Degree of Workflow Nets
Yuji Kaneko, Shingo Yamaguchi, Qi-Wei Ge, Minoru Tanaka (Yamaguchi Univ.) 		This paper discusses soundness and parallel degree of workflow nets (WF-nets).
We first define parallel degree that is... [more]		 CST2005-41
pp.13-18
NLP 2004-11-26
15:40		 Fukuoka Kyushu Inst. Tech. Representing the bifurcation structure of BVP neuron model onto a self-organising map by using modular network SOM (mnSOM)
Syuji Kaneko, Syozo Yasui, Tetsuo Furukawa (Kyushu Inst. of Tech.) 		 [more] NLP2004-72
pp.29-34
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