Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Shigetomo Kimura"'
Publikováno v:
IEEE Access, Vol 7, Pp 163219-163230 (2019)
Cross-domain sentiment classification is an important Natural Language Processing (NLP) task that aims at leveraging knowledge obtained from a source domain to train a high-performance learner for sentiment classification on a target domain. Existing
Externí odkaz:
https://doaj.org/article/34a6d0927e8b4e58866ad738cae24b44
Publikováno v:
IEEE Transactions on Big Data. 7:922-929
In the practical applications of supervised learning methods, the high cost of obtaining labeled data for learning tasks is a critical problem. One promising research area for solving the problem is transfer learning, which aims to learn a task in ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac061c487fd13c7de3e0d2af8e552925
https://doi.org/10.1109/tbdata.2020.2977626
https://doi.org/10.1109/tbdata.2020.2977626
Autor:
Chao Zhang, Shigetomo Kimura
Publikováno v:
2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7a8e5e79f3e3f0cdcffdd487c81b4df
https://doi.org/10.1109/candarw57323.2022.00063
https://doi.org/10.1109/candarw57323.2022.00063
Autor:
Kazuya Matsutani, Shigetomo Kimura
Publikováno v:
2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd984fa76eb4e2f9f7cc4a66acb4c640
https://doi.org/10.1109/candarw57323.2022.00068
https://doi.org/10.1109/candarw57323.2022.00068
Publikováno v:
IEEE Journal on Selected Areas in Communications. 38:1308-1321
Software-Defined Networking (SDN) is an innovational network architecture which gives network administrators the ability to directly control the whole network by programming on a centralized controller. Due to network complexity, networks are unlikel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3265b0ade9945f8846a14230ad412e4
https://doi.org/10.1109/jsac.2020.2986956
https://doi.org/10.1109/jsac.2020.2986956
Publikováno v:
2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a8b9ede3d28e4dcd00ee596993463aa
https://doi.org/10.1109/icpads53394.2021.00066
https://doi.org/10.1109/icpads53394.2021.00066
Publikováno v:
IEEE Access, Vol 7, Pp 163219-163230 (2019)
Cross-domain sentiment classification is an important Natural Language Processing (NLP) task that aims at leveraging knowledge obtained from a source domain to train a high-performance learner for sentiment classification on a target domain. Existing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99a03cfa6939b0ef00f44bd4bc21c786
https://doi.org/10.1109/access.2019.2952360
https://doi.org/10.1109/access.2019.2952360
Autor:
Shigetomo Kimura, Shingo Uchida
Publikováno v:
CANDAR (Workshops)
In recent years, power consumption from network devices has increased as Internet traffic has grown. In order to address this problem, many researchers have proposed schemes that switch the link rate for OpenFlow networks. For example, we previously
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0c9fca64f49209f45009e6421126250
https://doi.org/10.1109/candarw51189.2020.00025
https://doi.org/10.1109/candarw51189.2020.00025
Autor:
Tomoki Hanzawa, Shigetomo Kimura
Publikováno v:
CANDAR
Because of the widespread adoption of mobile devices, many applications have provided support for wireless LAN (WLAN). Under these circumstances, one of the important issues is to provide good quality of service (QoS) in WLAN. For this purpose, Dhura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b3ba0b645ae77d0a189799a6b9ec7f0
https://doi.org/10.15803/ijnc.7.2_295
https://doi.org/10.15803/ijnc.7.2_295
Autor:
Shigetomo Kimura, Kyosuke Kubota
Publikováno v:
CANDAR Workshops
Bufferbloat is a serious problem where a router increases its queueing delay with the result that time-critical applications do not work properly. To overcome this problem, many researchers focus on AQM (Active Queue Management) and numerous methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d916bf581de822391552e6c093de1d38
https://doi.org/10.1109/candarw.2019.00011
https://doi.org/10.1109/candarw.2019.00011