| 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 | 57 | 2017 |
| Innovative on-demand bus system in Japan K Tsubouchi, H Yamato, K Hiekata IET Intelligent Transport Systems 4 (4), 270-279, 2010 | 48 | 2010 |
| 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 | 40 | 2015 |
| 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 | 26 | 2003 |
| 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 | 25 | 2016 |
| 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 | 25 | 2011 |
| Scheduling algorithm for on-demand bus system K Tsubouchi, K Hiekata, H Yamato 2009 Sixth International Conference on Information Technology: New …, 2009 | 23 | 2009 |
| 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 | 19 | 2016 |
| 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 | 18 | 2013 |
| 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 | 16 | 2019 |
| 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 | 16 | 2014 |
| 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 | 15 | 2014 |
| 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 | 11 | 2018 |
| 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 | 10 | 2018 |
| 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 | 10 | 2017 |
| 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, 2016 | 10 | 2016 |
| Non-Compulsory Measures Sufficiently Reduced Human Mobility in Japan during the COVID-19 Epidemic T Yabe, K Tsubouchi, N Fujiwara, T Wada, Y Sekimoto, SV Ukkusuri arXiv preprint arXiv:2005.09423, 2020 | 9 | 2020 |
| 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 | 8 | 2020 |
| 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 | 8 | 2020 |
| 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 | 7 | 2020 |
