The world of mushrooms: human-computer interaction prototype systems for ambient intelligence. - Yasuhiro Minami; Minako Sawaki; Kohji Dohsaka; Ryuichiro Higashinaka; Kentaro Ishizuka; Hideki Isozaki; Tatsushi Matsubayashi; Masato Miyoshi; Atsushi Nakamura; Takanobu Oba; Hiroshi Sawada; Takeshi Yamada; et al. (ICMI, 2007)

Topigraphy: visualization for large-scale tag clouds. - Ko Fujimura; Shigeru Fujimura 002; Tatsushi Matsubayashi; Takeshi Yamada; Hidenori Okuda (WWW, 2008)

Mobile topigraphy: large-scale tag cloud visualization for mobiles. - Tatsushi Matsubayashi; Katsuhiko Ishiguro (WWW (Companion Volume), 2011)

Initial Positioning Method for Online and Real-Time Dynamic Graph Drawing of Time Varying Data. - Aki Hayashi; Tatsushi Matsubayashi; Takahide Hoshide; Tadasu Uchiyama (IV, 2013)

Regular behavior measure for location based services. - Aki Hayashi; Tatsushi Matsubayashi; Hiroshi Sawada (WebSci, 2014)

Probabilistic Non-negative Inconsistent-resolution Matrices Factorization. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (CIKM, 2015)

Regularity Measure and Influence Weight for Analysis and Visualization of Consumer's Attitude. - Aki Hayashi; Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (IV, 2015)

Blocked Time-Step Algorithm for Accelerating k-Means and Fuzzy c-Means. - Hengjin Tang; Tatsushi Matsubayashi; Hiroshi Sawada (SMC, 2015)

Non-negative periodic component analysis for music source separation. - Aki Hayashi; Hirokazu Kameoka; Tatsushi Matsubayashi; Hiroshi Sawada (APSIPA, 2016)

Non-negative multiple matrix factorization with Euclidean and kullback-leibler mixed divergences. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (ICPR, 2016)

What-If Prediction via Inverse Reinforcement Learning. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (FLAIRS, 2017)

Generalized Inverse Reinforcement Learning with Linearly Solvable MDP. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (ECML/PKDD (2), 2017)

Variational Bayes for Mixture Models with Censored Data. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (ECML/PKDD (2), 2018)

Multi Agent Flow Estimation Based on Bayesian Optimization with Time Delay and Low Dimensional Parameter Conversion. - Hiroshi Kiyotake; Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (PRIMA, 2018)

Improving Route Traffic Estimation by Considering Staying Population. - Hitoshi Shimizu; Tatsushi Matsubayashi; Yusuke Tanaka 002; Tomoharu Iwata; Naonori Ueda; Hiroshi Sawada (PRIMA, 2018)

Time-Series Predictions for People-Flow with Simulation Data. - Hengjin Tang; Tatsushi Matsubayashi; Daisuke Sato; Hiroyuki Toda (PRIMA, 2018)

Exemplar Based Mixture Models with Censored Data. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (ACML, 2019)

Efficient Bayesian Optimization Based on Parallel Sequential Random Embeddings. - Noriko Yokoyama; Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (ACPR (1), 2019)

People Flow Prediction by Multi-Agent Simulator. - Daisuke Sato; Tatsushi Matsubayashi; Shoichi Nagano; Hiroyuki Toda (BigComp, 2019)

Identifying self-changeable actions toward regulating rhythm of daily life. - Masami Takahashi; Masahiro Kohjima; Takeshi Kurashima; Tatsushi Matsubayashi; Hiroyuki Toda (UbiComp/ISWC Adjunct, 2019)

Generalized Interval Valued Nonnegative Matrix Factorization. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (ICASSP, 2019)

Coordinated Traffic Signal Control Via Bayesian Optimization for Hierarchical Conditional Spaces. - Hidetaka Ito; Kyota Tsutsumida; Tatsushi Matsubayashi; Takeshi Kurashima; Hiroyuki Toda (WSC, 2019)

Learning of Nonnegative Matrix Factorization Models for Inconsistent Resolution Dataset Analysis. - Masahiro Kohjima; Tatsushi Matsubayashi; Hiroshi Sawada (IEICE Trans. Inf. Syst., 2019)

Theme Park Simulation based on Questionnaires for Maximizing Visitor Surplus. - Hitoshi Shimizu; Tatsushi Matsubayashi; Akinori Fujino; Hiroshi Sawada (AAMAS, 2020)

Disentangling Subject-Dependent/-Independent Representations for 2D Motion Retargeting. - Fanglu Xie; Go Irie; Tatsushi Matsubayashi (ICASSP, 2021)

Parallel Sequential Random Embedding Bayesian Optimization. - Noriko Yokoyama; Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda (SN Comput. Sci., 2021)

Margin MCC: Chance-Robust Metric for Video Boundary Detection with Allowed Margin. - Kosuke Mizufune; Shunsuke Tanaka; Toshihide Yukitake; Tatsushi Matsubayashi (ACM Multimedia, 2023)

Optimizing Implicit Neural Representations from Point Clouds via Energy-Based Models. - Ryutaro Yamauchi; Jinya Sakurai; Ryo Furukawa; Tatsushi Matsubayashi (CoRR, 2023)