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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 108 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS, NLP 2020-06-05
13:25
Online Online Analysis of influence of network structure on information diffusion
Luyan XU, Kazuya Sawada (TUS), Yutaka Shimada (SU), Tohru Ikeguchi (TUS) NLP2020-15 CCS2020-5
In this paper, we propose an information diffusion model with eigenvector centrality. Using the proposed model, we inves... [more] NLP2020-15 CCS2020-5
pp.23-26
CCS, NLP 2020-06-05
13:50
Online Online Analysis of Language Network for New Testament
Kihei Magishi, Tomoko Matsumoto (TUS), Yutaka Shimada (SU), Tohru Ikeguchi (TUS) NLP2020-16 CCS2020-6
 [more] NLP2020-16 CCS2020-6
pp.27-32
MSS, NLP
(Joint)
2020-03-10
10:45
Aichi  
(Cancelled but technical report was issued)
Analysis of language network for Japanese and English translations of the New Testament
Kihei Magishi, Tomoko Matsumoto (TUS), Yutaka Shimada (SU), Tohru Ikeguchi (TUS) NLP2019-126
This paper investigated characteristics of Japanese and English language networks.
We used the New Testament as a sampl... [more]
NLP2019-126
pp.77-82
MSS, NLP
(Joint)
2020-03-10
11:10
Aichi  
(Cancelled but technical report was issued)
Information Diffusion Model with Network Centrality and Community Structure
Luyan Xu, Kazuya Sawada (TUS), Yutaka Shimada (SU), Tohru Ikeguchi (TUS) NLP2019-127
In this report, we proposed two new information diffusion models based on a conventional information diffusion model. Th... [more] NLP2019-127
pp.83-88
MSS, NLP
(Joint)
2020-03-10
13:30
Aichi  
(Cancelled but technical report was issued)
Influence of Resolution of Time Series Data on Causality Detection
Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2019-128
In this report, we investigated the influence of resolution of time series data
on causality detection by Convergent C... [more]
NLP2019-128
pp.89-94
NLP, CAS 2019-10-22
14:30
Gifu Gifu Univ. An Analysis on Input and Output Signals of Neural Systems by Interspike Interval Reconstruction and Recurrence Plots
Tohru Ikeguchi (TUS) CAS2019-32 NLP2019-72
In this paper, we analyzed the relationship between input and output signals of neural systems with the interspike int... [more] CAS2019-32 NLP2019-72
pp.43-48
NLP 2019-05-10
14:55
Oita J:COM HoltoHALL OITA Feature extraction of nonlinear time series signal by threshold variation of recurrence plot
Shiki Kanamaru (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2019-5
In this report, we propose a feature extraction method of nonlinear time series by threshold variation of the recurrence... [more] NLP2019-5
pp.23-28
NLP 2019-05-10
15:20
Oita J:COM HoltoHALL OITA A Study on Reconstructing Common Inputs to Neurons using Superposed Recurrence Plots
Ryota Nomura, Tohru Ikeguchi (Tokyo Univ. Science) NLP2019-6
In this paper, we proposed a method for reconstructing common input data to single neurons only from observed spike seq... [more] NLP2019-6
pp.29-34
NLP 2019-05-10
16:25
Oita J:COM HoltoHALL OITA A Shortest Path Heuristic Using Network Centralities
Misa Fujita (TUS), Takayuki Kimura (NIT), Tohru Ikeguchi (TUS) NLP2019-8
A distance network heuristic and a shortest path heuristic are one of the popular construction methods for solving the S... [more] NLP2019-8
pp.41-46
NLP 2019-05-10
16:50
Oita J:COM HoltoHALL OITA Visibility Graph for marked point process and its application to analyzing structural features of musical composition
Fujia Mao (TUS), Yutaka Shimada (SU), Tohru Ikeguchi (TUS) NLP2019-9
Visibility Graph (VG) is a method of time series analysis.By using VG, time series data can be tansformed to a network t... [more] NLP2019-9
pp.47-52
NLP, NC
(Joint)
2019-01-23
11:00
Hokkaido The Centennial Hall, Hokkaido Univ. Performance Evaluation of Chaotic Random Numbers Using Integer Logistic Map by NIST Test
Shiki Kanamaru (TUS), Yutaka Shimada (Saitama Univ.), Kantaro Fujiwara (UT), Tohru Ikeguchi (TUS) NLP2018-100
In this report, we generated pseudorandom numbers using chaotic dynamics and investigated its performance as pseudorando... [more] NLP2018-100
pp.23-28
NLP, NC
(Joint)
2019-01-23
11:20
Hokkaido The Centennial Hall, Hokkaido Univ. An analysis on chaotic marked point process using constrained random shuffled surrogate data
Kohei Yamamoto (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2018-101
Marked point process data refer to a time series of discrete events
with additional information.
For example, se... [more]
NLP2018-101
pp.29-34
NLP, NC
(Joint)
2019-01-23
11:40
Hokkaido The Centennial Hall, Hokkaido Univ. Performance analysis of a modified Chaos MIMO system with efficient use of bit information
Ryo Yamazaki (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2018-102
The multiple-input multiple-output (MIMO) is one of the wireless communication methods that use multiple transmit antenn... [more] NLP2018-102
pp.35-40
CAS, NLP 2018-10-18
14:15
Miyagi Tohoku Univ. Estimation accuracy of causal relation on difference in network structures
Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) CAS2018-43 NLP2018-78
In this paper, we applied Convergent Cross Mapping to estimate causal relations between multiple timeseries. We used a c... [more] CAS2018-43 NLP2018-78
pp.33-38
CAS, NLP 2018-10-18
15:05
Miyagi Tohoku Univ. Effects of numerical precision on statistical performance of chaotic random numbers
Shiki Kanamaru (TUS), Yutaka Shimada (Saitama Univ.), Kantaro Fujiwara (UT), Tohru Ikeguchi (TUS) CAS2018-45 NLP2018-80
We investigated the possibility of generating a pseudo random number sequence with good performance by using chaotic dyn... [more] CAS2018-45 NLP2018-80
pp.45-50
CAS, NLP 2018-10-18
15:30
Miyagi Tohoku Univ. Solvable Performance and Refractory Effects of Neural Networks for Solving the Steiner Tree Problem in Graphs
Misa Fujita (TUS), Takayuki Kimura (NIT), Tohru Ikeguchi (TUS) CAS2018-46 NLP2018-81
(To be available after the conference date) [more] CAS2018-46 NLP2018-81
pp.51-56
NLP 2017-11-05
17:00
Miyagi Research Institute of Electrical Communication Tohoku University Influence of the number of metronomes on synchronization
Yusuke Shiomi, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi (TUS) NLP2017-73
In our world, various rhythms exist. It is widely acknowledged that such rhythms synchronize by mutual couplings or exte... [more] NLP2017-73
pp.47-52
NLP 2017-11-06
10:00
Miyagi Research Institute of Electrical Communication Tohoku University Relationship between neural activity rhythm and neuronal avalanche phenomenon
Mayu Aoki (TUS), Hideyuki Kato (TEU), Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi (TUS) NLP2017-75
 [more] NLP2017-75
pp.59-64
NLP 2017-03-15
11:00
Aomori Nebuta Museum Warasse Alternate Bearing by Resource Budget Model with Environmental Noise
Izumi Kurita, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi (Tokyo Univ. of Science) NLP2016-122
In this report, we investigated synchronization phenomenon of crops in trees without pollination using a resource budget... [more] NLP2016-122
pp.81-86
NLP 2017-03-15
11:25
Aomori Nebuta Museum Warasse Network Motif Analysis of Japanese and English Language Networks
Mayumi Tatara, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi (TUS) NLP2016-123
 [more] NLP2016-123
pp.87-92
 Results 21 - 40 of 108 [Previous]  /  [Next]  
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