Kota Tsubouchi
Kota Tsubouchi
Yahoo Japan Corporation
Vahvistettu sähköpostiosoite verkkotunnuksessa yahoo-corp.jp - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Attention and engagement-awareness in the wild: A large-scale study with adaptive notifications
T Okoshi, K Tsubouchi, M Taji, T Ichikawa, H Tokuda
2017 ieee international conference on pervasive computing and communications …, 2017
612017
Innovative on-demand bus system in Japan
K Tsubouchi, H Yamato, K Hiekata
IET Intelligent Transport Systems 4 (4), 270-279, 2010
482010
Forecasting urban dynamics with mobility logs by bilinear Poisson regression
M Shimosaka, K Maeda, T Tsukiji, K Tsubouchi
Proceedings of the 2015 ACM international joint conference on pervasive and …, 2015
422015
Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic
T Yabe, K Tsubouchi, N Fujiwara, T Wada, Y Sekimoto, SV Ukkusuri
Scientific reports 10 (1), 1-9, 2020
28*2020
System and method to facilitate analysis and removal of errors from an application
A Kutay, C Akin, E Akin, H Akin, E Albek, J Gilbert, P Stremel
US Patent App. 10/082,427, 2003
282003
Location recommendation based on location history and spatio-temporal correlations for an on-demand bus system
R Raymond, T Sugiura, K Tsubouchi
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances …, 2011
272011
CityProphet: city-scale irregularity prediction using transit app logs
T Konishi, M Maruyama, K Tsubouchi, M Shimosaka
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
242016
Scheduling algorithm for on-demand bus system
K Tsubouchi, K Hiekata, H Yamato
2009 Sixth International Conference on Information Technology: New …, 2009
232009
A framework for evacuation hotspot detection after large scale disasters using location data from smartphones: case study of kumamoto earthquake
T Yabe, K Tsubouchi, A Sudo, Y Sekimoto
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances …, 2016
212016
Working-relationship detection from fitbit sensor data
K Tsubouchi, R Kawajiri, M Shimosaka
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013
192013
Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data
T Yabe, Y Sekimoto, K Tsubouchi, S Ikemoto
PLoS one 14 (2), e0211375, 2019
182019
Hourly pedestrian population trends estimation using location data from smartphones dealing with temporal and spatial sparsity
K Nishi, K Tsubouchi, M Shimosaka
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances …, 2014
162014
Extracting land-use patterns using location data from smartphones
K Nishi, K Tsubouchi, M Shimosaka
Proceedings of the First International Conference on IoT in Urban Space, 38-43, 2014
152014
Text-visualizing neural network model: understanding online financial textual data
T Ito, H Sakaji, K Tsubouchi, K Izumi, T Yamashita
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 247-259, 2018
122018
Understanding post-disaster population recovery patterns
T Yabe, K Tsubouchi, N Fujiwara, Y Sekimoto, SV Ukkusuri
Journal of the Royal Society Interface 17 (163), 20190532, 2020
112020
Early destination prediction with spatio-temporal user behavior patterns
R Imai, K Tsubouchi, T Konishi, M Shimosaka
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
112018
CityFlowFragility: Measuring the fragility of people flow in cities to disasters using GPS data collected from smartphones
T Yabe, K Tsubouchi, Y Sekimoto
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017
102017
Estimating Evacuation Hotspots using GPS data: What happened after the large earthquakes in Kumamoto, Japan
T Yabe, K Tsubouchi, A Sudo, Y Sekimoto
Proc. of the 5th International Workshop on Urban Computing 81, 1-5, 2016
102016
Coupled hierarchical Dirichlet process mixtures for simultaneous clustering and topic modeling
M Shimosaka, T Tsukiji, S Tominaga, K Tsubouchi
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
82016
Ginn: gradient interpretable neural networks for visualizing financial texts
T Ito, H Sakaji, K Izumi, K Tsubouchi, T Yamashita
International Journal of Data Science and Analytics 9 (4), 431-445, 2020
72020
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Artikkelit 1–20