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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2023-03-16
10:00		 Nagasaki
(Primary: On-site, Secondary: Online)		 Detecting causality for marked point processes
Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) MSS2022-80 NLP2022-125		 In this report, by modifying conventional causality detection method for nonlinear dynamical systems, we propose a causa... [more] MSS2022-80 NLP2022-125
pp.89-94
NLP, MICT, MBE, NC
(Joint) [detail]		 2022-01-22
16:25		 Online Online Reconstructing dynamical system from marked point processes and its application to real world data
Kazuya Sawada, Nina Sviridova (TUS), Yutaka Shimada (Saitama Univ.), Tour Ikeguchi (TUS) NLP2021-116 MICT2021-91 MBE2021-77		 In this report, we applied the method of reconstructing dynamical system for the marked point process
to the human pho... [more]		 NLP2021-116 MICT2021-91 MBE2021-77
pp.209-212
NLP 2021-12-18
14:15		 Oita J:COM Horuto Hall OITA A study on estimating appropriate parameters of state space reconstruction
Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2021-64		 In this report, we investigated appropriate parameter values for reconstructing a dynamical system using delay-coordinat... [more] NLP2021-64
pp.96-99
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