Akihito Sudo

According to our database, Akihito Sudo authored at least 15 papers between 2007 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Chaos may enhance expressivity in cerebellar granular layer.

Keita Tokuda, Naoya Fujiwara, Akihito Sudo, Yuichi Katori

Neural Networks, 2021

LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links.

Akihito Sudo, Teck-Hou Teng, Masaki Yamaguchi, Yoshinori Tone

CoRR, 2021

Fundamental Advantage of Feedback Control Based on a Generalized Second Law of Thermodynamics.

Akihito Sudo

CoRR, 2021

2020

Prediction of Student Performance in Abacus-Based Calculation Using Matrix Factorization.

Keita Tokuda, David Kaschub, Takuma Ota, Yasunobu Hashimoto, Naoya Fujiwara, Akihito Sudo

Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

2018

Predictgis 2018 workshop report held in conjunction with ACM SIGSPATIAL 2018.

Akihito Sudo, Yoshihide Sekimoto, Lau Honng Chuin, Xuan Song, Takahiro Yabe

ACM SIGSPATIAL Special, 2018

2017

PredictGIS 2017 workshop report held in conjunction with ACM SIGSPATIAL 2017.

Akihito Sudo, Takahiro Yabe, Yoshihide Sekimoto

ACM SIGSPATIAL Special, 2017

Predicting Indoor Crowd Density using Column-Structured Deep Neural Network.

Akihito Sudo, Teck-Hou Teng, Hoong Chuin Lau, Yoshihide Sekimoto

Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility, 2017

2016

Real-time people movement estimation in large disasters from several kinds of mobile phone data.

Yoshihide Sekimoto, Akihito Sudo, Takehiro Kashiyama, Toshikazu Seto, Hideki Hayashi, Akinori Asahara, Hiroki Ishizuka, Satoshi Nishiyama

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Predicting irregular individual movement following frequent mid-level disasters using location data from smartphones.

Takahiro Yabe, Kota Tsubouchi, Akihito Sudo, Yoshihide Sekimoto

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

A framework for evacuation hotspot detection after large scale disasters using location data from smartphones: case study of Kumamoto earthquake.

Takahiro Yabe, Kota Tsubouchi, Akihito Sudo, Yoshihide Sekimoto

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Particle filter for real-time human mobility prediction following unprecedented disaster.

Akihito Sudo, Takehiro Kashiyama, Takahiro Yabe, Hiroshi Kanasugi, Xuan Song, Tomoyuki Higuchi, Shin'ya Nakano, Masaya M. Saito, Yoshihide Sekimoto

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

2010

An online incremental learning pattern-based reasoning system.

Furao Shen, Akihito Sudo, Osamu Hasegawa

Neural Networks, 2010

2009

Associative Memory for Online Learning in Noisy Environments Using Self-Organizing Incremental Neural Network.

Akihito Sudo, Akihiro Sato, Osamu Hasegawa

IEEE Trans. Neural Networks, 2009

2007

Associative Memory for Online Incremental Learning in Noisy Environments.

Akihito Sudo, Akihiro Sato, Osamu Hasegawa

Proceedings of the International Joint Conference on Neural Networks, 2007

Pattern-Based Reasoning System Using Self-incremental Neural Network for Propositional Logic.

Akihito Sudo, Manabu Tsuboyama, Chenli Zhang, Akihiro Sato, Osamu Hasegawa

Proceedings of the Neural Information Processing, 14th International Conference, 2007