Pattern-Based Reasoning System Using Self-incremental Neural Network for Propositional Logic. - Akihito Sudo; Manabu Tsuboyama; Chenli Zhang; Akihiro Sato; Osamu Hasegawa (ICONIP (1), 2007)

Associative Memory for Online Incremental Learning in Noisy Environments. - Akihito Sudo; Akihiro Sato; Osamu Hasegawa (IJCNN, 2007)

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)

An online incremental learning pattern-based reasoning system. - Furao Shen; Akihito Sudo; Osamu Hasegawa (Neural Networks, 2010)

Particle filter for real-time human mobility prediction following unprecedented disaster. - Akihito Sudo; Takehiro Kashiyama; Takahiro Yabe; Hiroshi Kanasugi; Xuan Song 001; Tomoyuki Higuchi; Shin'ya Nakano; Masaya M. Saito; Yoshihide Sekimoto (SIGSPATIAL/GIS, 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 (SIGSPATIAL/GIS, 2016)

Predicting irregular individual movement following frequent mid-level disasters using location data from smartphones. - Takahiro Yabe; Kota Tsubouchi; Akihito Sudo; Yoshihide Sekimoto (SIGSPATIAL/GIS, 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 (UbiComp Adjunct, 2016)

Predicting Indoor Crowd Density using Column-Structured Deep Neural Network. - Akihito Sudo; Teck-Hou Teng; Hoong Chuin Lau; Yoshihide Sekimoto (PredictGIS@SIGSPATIAL, 2017)

PredictGIS 2017 workshop report held in conjunction with ACM SIGSPATIAL 2017. - Akihito Sudo; Takahiro Yabe; Yoshihide Sekimoto (ACM SIGSPATIAL Special, 2017)

Predictgis 2018 workshop report held in conjunction with ACM SIGSPATIAL 2018. - Akihito Sudo; Yoshihide Sekimoto; Lau Honng Chuin; Xuan Song 001; Takahiro Yabe (ACM SIGSPATIAL Special, 2018)

Prediction of Student Performance in Abacus-Based Calculation Using Matrix Factorization. - Keita Tokuda; David Kaschub; Takuma Ota; Yasunobu Hashimoto; Naoya Fujiwara; Akihito Sudo (UMAP (Adjunct Publication), 2020)

Fundamental Advantage of Feedback Control Based on a Generalized Second Law of Thermodynamics. - Akihito Sudo (CoRR, 2021)

LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links. - Akihito Sudo; Teck-Hou Teng; Masaki Yamaguchi; Yoshinori Tone (CoRR, 2021)

Chaos may enhance expressivity in cerebellar granular layer. - Keita Tokuda; Naoya Fujiwara; Akihito Sudo; Yuichi Katori (Neural Networks, 2021)

Investigation of Model for Initial Phase of Communication: Analysis of Humans Interaction by Robot. - Takafumi Sakamoto; Akihito Sudo; Yugo Takeuchi (ACM Trans. Hum. Robot Interact., 2021)