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2020 – today
- 2024
[j3]Masashi Kuwano, Mio Hosoe, Taku Moriyama:
Prediction of railroad user count using number of route searches via bivariate state-space modeling. J. Supercomput. 80(4): 4554-4576 (2024)- 2022
- [j2]Mio Hosoe
, Masashi Kuwano, Taku Moriyama:
Trip Purpose Inference Based on the Relationship between Route Search Records and Regional Characteristics. Int. J. Intell. Transp. Syst. Res. 20(1): 299-308 (2022) - [c5]Taku Moriyama, Mio Hosoe, Masashi Kuwano, Yuka Minamino:
Extraction of Power Consumption Patterns using Non-negative Tucker Decomposition. IEEE Big Data 2022: 3163-3171 - 2021
- [j1]Mio Hosoe, Masashi Kuwano, Taku Moriyama:
A method for extracting travel patterns using data polishing. J. Big Data 8(1): 1-22 (2021) - 2020
- [c4]Masahiro Okazaki, Yuki Ohira, Kei Fukuyama, Masashi Kuwano, Akira Ishii:
A Decision Support System for Inexperienced Volunteer Guides to Assist Increased Inbound Tourists in Japan. SMC 2020: 486-492
2010 – 2019
- 2019
- [c3]Mio Hosoe, Masashi Kuwano, Taku Moriyama, Kosuke Miyazaki, Masaki Ito:
Travel Pattern Extraction from Smart Card Data using Data Polishing. IEEE BigData 2019: 3563-3572 - [c2]Mio Hosoe, Masashi Kuwano:
Public Transport Smart Card Data Analysis Using Tucker Decomposition. IES 2019: 52-66 - 2018
- [c1]Masashi Kuwano, Keishi Tanimoto, Kei Fukuyama:
Tourists' Cognitive Structure of Small-Scale Regional Tourist Sites. SMC 2018: 2353-2358
Coauthor Index
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