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Fumiyo N. Kondo
Publication Activity (10 Years)
Years Active: 1999-2020
Publications (10 Years): 7
Top Topics
Information Services
Massive Open Online Courses
Logistic Regression
Convolutional Neural Networks
Top Venues
IIAI-AAI
Int. J. E Serv. Mob. Appl.
ICMB
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Publications
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Hiromi Kondo
,
Fumiyo N. Kondo
Convolutional Neural Networks on Multichannel Time Series of Smartphone Applications for Gender or Age Range Classification.
IIAI-AAI
(2020)
Qazi Mahdia Ghyas
,
Fumiyo N. Kondo
A Comparative Cross-temporal Study on the Acceptance of Multiple Mobile Entertainment Services among Young Japanese Users.
Int. J. E Serv. Mob. Appl.
11 (4) (2019)
Tomohiro Furuya
,
Hiromi Kondo
,
Fumiyo N. Kondo
Convolutional Neural Networks on Time Series for Smartphone Application Activations Using Wavelet Transform.
IIAI-AAI
(2019)
Lingzi Wei
,
Fumiyo N. Kondo
Exploring Important Motivation Drivers for Completion of Massive Open Online Courses by Bayesian Hierarchical Logistic Regression Model.
IIAI-AAI
(2019)
Fumiyo N. Kondo
,
Qazi Mahdia Ghyas
The Mobile Health Life Domain and its Contribution to Overall Quality of Life: A Case Study of Japanese Internet Users.
IIAI-AAI
(2017)
Fumiyo N. Kondo
,
Qazi Mahdia Ghyas
Expansion of Mobile Information Service Needs toward Improving Quality of Life in Japan.
IIAI-AAI
(2016)
Qazi Mahdia Ghyas
,
Fumiyo N. Kondo
Behavioural Intention to Use Mobile Entertainment Services among Bangladeshi Students.
Int. J. E Serv. Mob. Appl.
8 (2) (2016)
Fumiyo N. Kondo
,
Hisashi Ishida
,
Qazi Mahdia Ghyas
A difference between Japan and the US in the Customer Satisfaction Model for Mobile Utilitarian Information Services.
ICMB
(2012)
Shahriar Akter
,
Fumiyo N. Kondo
Mobile Information Services Marketing to Serve the BOP Market.
APSCC
(2007)
Genshiro Kitagawa
,
Tomoyuki Higuchi
,
Fumiyo N. Kondo
Smoothness prior approach to explore mean structure in large-scale time series.
Theor. Comput. Sci.
292 (2) (2003)
Genshiro Kitagawa
,
Tomoyuki Higuchi
,
Fumiyo N. Kondo
Smoothness Prior Approach to Explore the Mean Structure in Large Time Series Data.
Discovery Science
(1999)