Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Tsukasa, ISHIGAKI"'
Autor:
Shogo Takedomi, Tsukasa Ishigaki
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db9b4ab3f8e03098f8c902e1a76493d5
https://doi.org/10.1109/bigdata55660.2022.10020286
https://doi.org/10.1109/bigdata55660.2022.10020286
Autor:
Kachun Lo, Tsukasa Ishigaki
Publikováno v:
Knowledge and Information Systems. 63:1117-1148
Most works of recommender systems focus on providing users with highly accurate item predictions based on the assumption that accurate suggestions can best satisfy users. However, accuracy-focused models also create great system bias towards popular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67c47b971f67d2ece878975dece6899a
https://doi.org/10.1007/s10115-021-01546-8
https://doi.org/10.1007/s10115-021-01546-8
Publikováno v:
Japanese Journal of Statistics and Data Science. 3:349-365
Supply-side factors related to regional variations in healthcare have been thoroughly documented in the current health economics literature. However, less attention has been given to demand-side factors. To determine the source of variations in patie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2480ad07788f992d341d7a1e7f5f5767
https://doi.org/10.1007/s42081-020-00082-z
https://doi.org/10.1007/s42081-020-00082-z
Publikováno v:
ACII
Towards explainable affective computing (XAC), researchers have invested considerable effort into post hoc approaches and reverse engineering to seek explanations for deep learning models. However, alternative, intrinsic approaches that aim to build
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d508ba5abdfc4b7dcd12d9579c8af00b
https://doi.org/10.1109/acii52823.2021.9597455
https://doi.org/10.1109/acii52823.2021.9597455
Autor:
Tsukasa Ishigaki, Kachun Lo
Publikováno v:
SIGIR
Carrying abundant side information, knowledge graph (KG) has shown its great potential in enriching the sparsity of collaborative filtering (CF) for recommendation. Although graph neural networks (GNNs) have been successfully employed to learn user p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4eecc6eca5eea941b2937d6504207e1
https://doi.org/10.1145/3404835.3463003
https://doi.org/10.1145/3404835.3463003
Autor:
Tsukasa Ishigaki, Shigeki Kushimoto, Haruya Ishizuka, Teiji Tominaga, Toshihiro Wagatsuma, Yutaka Ejima, Masanori Yamauchi, Daisuke Kudo, Hiroaki Toyama, Naoya Kobayashi, Michio Kumagai, Kuniyasu Niizuma, Kenji Kurotaki, Atsuhiro Nakagawa, Tomohiro Kawaguchi, Kokichi Ando, Kohji Saito
Publikováno v:
Blood Pressure Monitoring. 24:225-233
Objective To identify the outcome of patients with sepsis using high-frequency blood pressure data. Materials and methods This retrospective observational study was conducted at a university hospital ICU (derivation study) and at two urban hospitals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9664835250ecefa6d82ddf8a4ed52f4b
https://doi.org/10.1097/mbp.0000000000000398
https://doi.org/10.1097/mbp.0000000000000398
Autor:
Tsukasa Ishigaki, Linh Nguyen
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9789811533105
For successfully analyzing data in the business of chain stores, the quality of data recorded in their shops or factories is a key factor. Data quality management is an important practical issue because data qualities widely vary depending on the man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbd2f6d862e7b3d0a60945efe12e02c6
https://doi.org/10.1007/978-981-15-3311-2_27
https://doi.org/10.1007/978-981-15-3311-2_27
Publikováno v:
Computers & Industrial Engineering. 164:107859
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da03239aa00772df2d23f0850171aac8
https://doi.org/10.1016/j.cie.2021.107859
https://doi.org/10.1016/j.cie.2021.107859
Publikováno v:
International Journal of Data Science and Analytics. 5:233-248
Advanced database marketing is designed to ascertain individual customers’ market responses with a discount or display of widely various products from transaction data. However, transaction data recorded in a supermarket or electric commerce are fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::154c1b47d71497c6238fa9f7d02e8cb2
https://doi.org/10.1007/s41060-018-0099-9
https://doi.org/10.1007/s41060-018-0099-9
Autor:
Tsukasa Ishigaki, Linh Nguyen
Publikováno v:
IEEE BigData
Multi-domain recommender systems can solve cold-start problems and can support cross-selling of products and services. We propose a model to address these difficulties by extracting homogeneous and divergent features from domains. Our Domain-to-Domai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39181c327438e79bd810d158afee6525
https://doi.org/10.1109/bigdata47090.2019.9006461
https://doi.org/10.1109/bigdata47090.2019.9006461