| 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 | 239 | 2020 |
| 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 | 105 | 2017 |
| 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 | 73 | 2020 |
| Innovative on-demand bus system in Japan K Tsubouchi, H Yamato, K Hiekata IET Intelligent Transport Systems 4 (4), 270-279, 2010 | 67 | 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 | 65 | 2015 |
| DeepCrowd: A deep model for large-scale citywide crowd density and flow prediction R Jiang, Z Cai, Z Wang, C Yang, Z Fan, Q Chen, K Tsubouchi, X Song, ... IEEE Transactions on Knowledge and Data Engineering 35 (1), 276-290, 2021 | 57 | 2021 |
| 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 | 55 | 2019 |
| 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 | 50 | 2016 |
| Contextual sentiment neural network for document sentiment analysis T Ito, K Tsubouchi, H Sakaji, T Yamashita, K Izumi Data Science and Engineering 5 (2), 180-192, 2020 | 41 | 2020 |
| 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 | 40 | 2016 |
| Scheduling algorithm for on-demand bus system K Tsubouchi, K Hiekata, H Yamato 2009 Sixth International Conference on Information Technology: New …, 2009 | 36 | 2009 |
| Text-visualizing neural network model: understanding online financial textual data T Ito, H Sakaji, K Tsubouchi, K Izumi, T Yamashita Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 34 | 2018 |
| 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 | 34 | 2011 |
| Real-world product deployment of adaptive push notification scheduling on smartphones T Okoshi, K Tsubouchi, H Tokuda Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 32 | 2019 |
| Human mobility data and analysis for urban resilience: A systematic review M Haraguchi, A Nishino, A Kodaka, M Allaire, U Lall, L Kuei-Hsien, ... Environment and Planning B: Urban Analytics and City Science 49 (5), 1507-1535, 2022 | 29 | 2022 |
| 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 | 26 | 2013 |
| 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 | 25 | 2018 |
| Surveillance of early stage COVID-19 clusters using search query logs and mobile device-based location information S Hisada, T Murayama, K Tsubouchi, S Fujita, S Yada, S Wakamiya, ... Scientific Reports 10 (1), 18680, 2020 | 23 | 2020 |
| 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 | 23 | 2017 |
| Development of people mass movement simulation framework based on reinforcement learning Y Pang, T Kashiyama, T Yabe, K Tsubouchi, Y Sekimoto Transportation research part C: emerging technologies 117, 102706, 2020 | 21 | 2020 |
Takahiro YabeAssistant Professor, New York University在 nyu.edu 的电子邮件经过验证
