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Mio Hosoe
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 6
Top Topics
Public Transport
Inference Process
Tensor Decomposition
Data Analysis
Top Venues
Int. J. Intell. Transp. Syst. Res.
IEEE BigData
J. Big Data
IES
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Publications
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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) (2024)
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) (2022)
Taku Moriyama
,
Mio Hosoe
,
Masashi Kuwano
,
Yuka Minamino
Extraction of Power Consumption Patterns using Non-negative Tucker Decomposition.
Big Data
(2022)
Mio Hosoe
,
Masashi Kuwano
,
Taku Moriyama
A method for extracting travel patterns using data polishing.
J. Big Data
8 (1) (2021)
Mio Hosoe
,
Masashi Kuwano
Public Transport Smart Card Data Analysis Using Tucker Decomposition.
IES
(2019)
Mio Hosoe
,
Masashi Kuwano
,
Taku Moriyama
,
Kosuke Miyazaki
,
Masaki Ito
Travel Pattern Extraction from Smart Card Data using Data Polishing.
IEEE BigData
(2019)