研究業績

2020

題目著者雑誌名,掲載ページ,発行年
DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility PredictionChen, Q., Jiang, R., Yang, C., Cai, Z., Fan, Z., Tsubouchi, K., Shibasaki, R., Song, X.(2020) GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, pp. 283-292.
Mobile phone GPS data in urban customized bus: Dynamic line design and emission reduction potentials analysisYu, Q., Zhang, H., Li, W., Song, X., Yang, D., Shibasaki, R.(2020) Journal of Cleaner Production, 272, art. no. 122471, .
A spatial finer electric load estimation method based on night-light satellite imageLi, P., Zhang, H., Wang, X., Song, X., Shibasaki, R.(2020) Energy, 209, art. no. 118475, .
Mining urban sustainable performance: GPS data-based spatio-temporal analysis on on-road braking emissionChen, J., Li, W., Zhang, H., Jiang, W., Li, W., Sui, Y., Song, X., Shibasaki, R.(2020) Journal of Cleaner Production, 270, art. no. 122489, .
Learn to extract building outline from misaligned annotation through nearest feature selectorWang, Y., Wu, G., Guo, Y., Huang, Y., Shibasaki, R.(2020) Remote Sensing, 12 (17), art. no. 2722, .
Deep Learning with AnoGAN and Efficient GAN to Judge Agricultural Harvest Image DataKawakura, S., Shibasaki, R. (2020) 2020 Joint 9th International Conference on Informatics, Electronics and Vision and 2020 4th International Conference on Imaging, Vision and Pattern Recognition, ICIEV and icIVPR 2020, art. no. 9306662, .
UNSUPERVISED MULTI-CONSTRAINT DEEP NEURAL NETWORK for DENSE IMAGE MATCHINGYuan, W., Fan, Z., Yuan, X., Gong, J., Shibasaki, R.(2020) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives, 43 (B2), pp. 163-167.
END-TO-END BUILDING CHANGE DETECTION MODEL in AERIAL IMAGERY and DIGITAL SURFACE MODEL BASED on NEURAL NETWORKSLian, X., Yuan, W., Guo, Z., Cai, Z., Song, X., Shibasaki, R.(2020) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives, 43 (B2), pp. 1239-1246.
City-scale human mobility prediction model by integrating gnss trajectories and sns data using long short-Term memoryMiyazawa, S., Song, X., Jiang, R., Fan, Z., Shibasaki, R., Sato, T.(2020) ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 5 (4), pp. 87-94.
Mobile phone GPS data in urban ride-sharing: An assessment method for emission reduction potentialZhang, H., Chen, J., Li, W., Song, X., Shibasaki, R.(2020) Applied Energy, 269, art. no. 115038, .
Delineating urban park catchment areas using mobile phone data: A case study of TokyoGuan, C., Song, J., Keith, M., Akiyama, Y., Shibasaki, R., Sato, T.(2020) Computers, Environment and Urban Systems, 81, art. no. 101474, .
Mobile phone data in urban bicycle-sharing: Market-oriented sub-area division and spatial analysis on emission reduction potentialsYu, Q., Zhang, H., Li, W., Sui, Y., Song, X., Yang, D., Shibasaki, R., Jiang, W.(2020) Journal of Cleaner Production, 254, art. no. 119974, .
The size distribution of 窶歪ities窶 delineated with a network theory-based method and mobile phone GPS dataFujishima, S., Fujiwara, N., Akiyama, Y., Shibasaki, R., Sakuramachi, R.(2020) International Journal of Economic Theory, 16 (1), pp. 38-50.
Correction: A Method for Vehicle Detection in High-Resolution Satellite Images That Uses a Region-Based Object Detector and Unsupervised Domain Adaptation. [Remote Sensing 2020, 12, 575] doi: 10.3390/rs12030575 Koga, Y., Miyazaki, H., Shibasaki, R.(2020) Remote Sensing, 12 (7), art. no. 1068, .
A method for vehicle detection in high-resolution satellite images that uses a region-based object detector and unsupervised domain adaptationKoga, Y., Miyazaki, H., Shibasaki, R.(2020) Remote Sensing, 12 (3), art. no. 575, .
A detailed method to estimate inter-regional capital flows using inter-firm transaction and person flow big dataAkiyama, Y., Yamamoto, Y., Shibasaki, R., Kaneda, H.(2020) Asia-Pacific Journal of Regional Science, 4 (1), pp. 219-239.
Integrating urban data with urban servicesShibasaki, R., Hori, S., Kawamura, S., Tani, S.(2020) Society 5.0: A People-centric Super-smart Society, pp. 67-83.
Will you go where you search? A deep learning framework for estimating user search-and-go behaviorJiang, R., Chen, Q., Cai, Z., Fan, Z., Song, X., Tsubouchi, K., Shibasaki, R.(2020) Neurocomputing, .
Mining urban sustainable performance: Millions of GPS data reveal high-emission travel attraction in TokyoSong, X., Guo, R., Xia, T., Guo, Z., Long, Y., Zhang, H., Song, X., Ryosuke, S.(2020) Journal of Cleaner Production, 242, art. no. 118396, .
Learn to Recover Visible Color for Video Surveillance in a DayWu, G., Zheng, Y., Guo, Z., Cai, Z., Shi, X., Ding, X., Huang, Y., Guo, Y., Shibasaki, R.(2020) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12346 LNCS, pp. 495-511.
CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke RiskXia, T., Jatowt, A., Wang, Z., Si, R., Zhang, H., Liu, X., Shibasaki, R., Song, X., Kim, K.-S.(2020) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12473 LNCS, pp. 14-23.