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Sudo, Akihito
45  Ergebnisse:
Personensuche X
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1

Chaos may enhance expressivity in cerebellar granular layer:

Tokuda, Keita ; Fujiwara, Naoya ; Sudo, Akihito.
Neural Networks.  136 (2021)  - p. 72-86 , 2021
Link: https://doi.org/10.1016/..
 
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2

Investigation of Model for Initial Phase of Communication ..:

Sakamoto, Takafumi ; Sudo, Akihito ; Takeuchi, Yugo
ACM Transactions on Human-Robot Interaction (THRI).  10 (2021)  2 - p. 1-27 , 2021
Link: https://dl.acm.org/doi/1..
 
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3

Investigation of Model for Initial Phase of Communication: ..:

Sakamoto, Takafumi ; Sudo, Akihito ; Takeuchi, Yugo
ACM Transactions on Human-Robot Interaction.  10 (2021)  2 - p. 1-27 , 2021
Link: https://doi.org/10.1145/..
 
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4

Evaluation of Mental Calculation Educational System with In..:

, In: Proceedings of the 2020 8th International Conference on Information and Education Technology,
Tokuda, Keita ; Hashimoto, Yasunobu ; Yamauchi, Chika... - p. 161-168 , 2020
Link: https://dl.acm.org/doi/1..
 
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5

Prediction of Student Performance in Abacus-Based Calculati..:

, In: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization,
Tokuda, Keita ; Kaschub, David ; Ota, Takuma... - p. 114-118 , 2020
Link: https://dl.acm.org/doi/1..
 
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6

Proceedings of the 2nd ACM SIGSPATIAL Workshop on Predictio..:

Sudo, Akihito ; Sekimoto, Yoshihide ; Chin, Lau Hoong.. , 2018
Link: https://dl.acm.org/doi/1..
 
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7

The difference in foresight using the scanning method betwe..:

Honda, Hidehito ; Washida, Yuichi ; Sudo, Akihito...
Technological Forecasting and Social Change.  119 (2017)  - p. 18-26 , 2017
Link: https://doi.org/10.1016/..
 
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8

Predicting Delay of Commuting Activities Following Frequent..:

The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo, Japan ; Yabe, Takahiro ; Sekimoto, Yoshihide...
Journal of Disaster Research.  12 (2017)  2 - p. 287-295 , 2017
Link: https://doi.org/10.20965..
 
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9

Predicting Indoor Crowd Density using Column-Structured Dee..:

, In: Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility,
Sudo, Akihito ; Teng, Teck-Hou ; Lau, Hoong Chuin. - p. 1-7 , 2017
Link: https://dl.acm.org/doi/1..
 
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10

Real-time people movement estimation in large disasters fro..:

, In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct,
Sekimoto, Yoshihide ; Sudo, Akihito ; Kashiyama, Takehiro... - p. 1426-1434 , 2016
Link: https://dl.acm.org/doi/1..
 
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11

Particle filter for real-time human mobility prediction fol..:

, In: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems,
Sudo, Akihito ; Kashiyama, Takehiro ; Yabe, Takahiro... - p. 1-10 , 2016
Link: https://dl.acm.org/doi/1..
 
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12

A framework for evacuation hotspot detection after large sc..:

, In: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems,
Yabe, Takahiro ; Tsubouchi, Kota ; Sudo, Akihito. - p. 1-10 , 2016
Link: https://dl.acm.org/doi/1..
 
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13

Predicting irregular individual movement following frequent..:

, In: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems,
Yabe, Takahiro ; Tsubouchi, Kota ; Sudo, Akihito. - p. 1-4 , 2016
Link: https://dl.acm.org/doi/1..
 
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14

Human Mobility Estimation Following Massive Disaster Using ..:

Institute of Industrial Sience, the University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo, Japan ; Sudo, Akihito ; Kashiyama, Takehiro...
Journal of Disaster Research.  11 (2016)  2 - p. 217-224 , 2016
Link: https://doi.org/10.20965..
 
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15

An online incremental learning pattern-based reasoning syst..:

Furao, Shen ; Sudo, Akihito ; Hasegawa, Osamu
Neural Networks.  23 (2010)  1 - p. 135-143 , 2010
Link: https://doi.org/10.1016/..
 
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