| Activity-aware map: Identifying human daily activity pattern using mobile phone data S Phithakkitnukoon, T Horanont, G Di Lorenzo, R Shibasaki, C Ratti Human Behavior Understanding: First International Workshop, HBU 2010 …, 2010 | 386 | 2010 |
| Modeling and probabilistic reasoning of population evacuation during large-scale disaster X Song, Q Zhang, Y Sekimoto, T Horanont, S Ueyama, R Shibasaki Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 114 | 2013 |
| Weather effects on the patterns of people's everyday activities: a study using GPS traces of mobile phone users T Horanont, S Phithakkitnukoon, TW Leong, Y Sekimoto, R Shibasaki PloS one 8 (12), e81153, 2013 | 107 | 2013 |
| Deep learning based banana plant detection and counting using high-resolution red-green-blue (RGB) images collected from unmanned aerial vehicle (UAV) B Neupane, T Horanont, ND Hung PloS one 14 (10), e0223906, 2019 | 80 | 2019 |
| Internet of things for planting in smart farm hydroponics style J Pitakphongmetha, N Boonnam, S Wongkoon, T Horanont, ... 2016 International Computer Science and Engineering Conference (ICSEC), 1-5, 2016 | 75 | 2016 |
| Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan S Phithakkitnukoon, T Horanont, A Witayangkurn, R Siri, Y Sekimoto, ... Pervasive and Mobile Computing 18, 18-39, 2015 | 71 | 2015 |
| Deep learning-based semantic segmentation of urban features in satellite images: A review and meta-analysis B Neupane, T Horanont, J Aryal Remote Sensing 13 (4), 808, 2021 | 55 | 2021 |
| Anomalous event detection on large-scale gps data from mobile phones using hidden markov model and cloud platform A Witayangkurn, T Horanont, Y Sekimoto, R Shibasaki Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013 | 45 | 2013 |
| Large-scale auto-GPS analysis for discerning behavior change during crisis T Horanont, A Witayangkurn, Y Sekimoto, R Shibasaki IEEE Intelligent Systems 28 (4), 26-34, 2013 | 42 | 2013 |
| Taxi demand prediction using ensemble model based on rnns and xgboost U Vanichrujee, T Horanont, W Pattara-atikom, T Theeramunkong, ... 2018 International Conference on Embedded Systems and Intelligent Technology …, 2018 | 33 | 2018 |
| Trip reconstruction and transportation mode extraction on low data rate GPS data from mobile phone A Witayangkurn, T Horanont, N Ono, Y Sekimoto, R Shibasaki Proceedings of the international conference on computers in urban planning …, 2013 | 32 | 2013 |
| A comparative assessment of internet GIS server systems T Horanont, N Tripathi, V Raghavana, P Santitamnont Map Asia, Hotel Shangri-La, Bangkok, Thailand, 2002 | 32 | 2002 |
| Intelligent System for Human Behavior Analysis and Reasoning Following Large-Scale Disasters X SONG, Q ZHANG, Y SEKIMOTO, T HORANONT, S UEYAMA, ... IEEE intelligent systems 28 (4), 35-42, 2013 | 31 | 2013 |
| An implementation of mobile sensing for large-scale urban monitoring T Horanont, R Shibasaki UrbanSense08, 51, 2008 | 25 | 2008 |
| Understanding user attributes from calling behavior: exploring call detail records through field observations A Arai, A Witayangkurn, H Kanasugi, T Horanont, X Shao, R Shibasaki Proceedings of the 12th international conference on advances in mobile …, 2014 | 19 | 2014 |
| Performance comparisons of spatial data processing techniques for a large scale mobile phone dataset A Witayangkurn, T Horanont, R Shibasaki Proceedings of the 3rd International Conference on Computing for Geospatial …, 2012 | 18 | 2012 |
| Optimal plant growth in smart farm hydroponics system using the integration of wireless sensor networks into internet of things N Boonnam, J Pitakphongmetha, S Kajornkasirat, T Horanont, ... Adv. Sci. Technol. Eng. Syst. J 2 (3), 1006-1012, 2017 | 16 | 2017 |
| How does coffee shop get crowded? Using WiFi footprints to deliver insights into the success of promotion P Prasertsung, T Horanont Proceedings of the 2017 ACM International Joint Conference on Pervasive and …, 2017 | 14 | 2017 |
| A study on urban mobility and dynamic population estimation by using aggregate mobile phone sources T Horanont The University of Tokyo Center for Spatial Information Service, CSIS …, 2010 | 14 | 2010 |
| Understanding the unobservable population in call detail records through analysis of mobile phone user calling behavior: A case study of Greater Dhaka in Bangladesh A Arai, A Witayangkurn, T Horanont, X Shao, R Shibasaki 2015 IEEE International Conference on Pervasive Computing and Communications …, 2015 | 12 | 2015 |
Yoshihide SekimotoUniversity of TokyoVerified email at iis.u-tokyo.ac.jp
