Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Machiko Toyoda"'
Autor:
Michiaki Fukui, Yoshitaka Hashimoto, Yusuke Mineoka, Michiyo Ishii, Hiroki Yuge, Machiko Toyoda, Naoto Nakamura, Yasukazu Katsumi
Publikováno v:
BMJ Open Diabetes Research & Care, Vol 9, Iss 1 (2021)
Introduction Trigger finger is one of the complications affecting the upper extremity in patients with diabetes. Diabetes is also a well-known risk factor that predisposes individuals to cardiovascular diseases (CVDs). This retrospective cohort study
Externí odkaz:
https://doaj.org/article/4c2ccaee643f428099d357bfe9b8807d
Autor:
Yusuke Mineoka, Michiyo Ishii, Yoshitaka Hashimoto, Aki Yamashita, Takahiro Takemura, Sachiyo Yamaguchi, Machiko Toyoda, Michiaki Fukui
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 5; Pages: 1314
Malnutrition and diabetes are likely to co-occur. There are few reports on the association between nutritional status and foot risk in patients with type 2 diabetes (T2D). Therefore, we aimed to investigate this relationship in this cross-sectional s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffe4cfa4bbcd774d5a88b579b161471e
https://pubmed.ncbi.nlm.nih.gov/35268404
https://pubmed.ncbi.nlm.nih.gov/35268404
We propose a supervised anomaly detection method for data with inexact anomaly labels, where each label, which is assigned to a set of instances, indicates that at least one instance in the set is anomalous. Although many anomaly detection methods ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d3bd4b181bcdef4736349c8687b0da5
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 37(9)
The goal of cross-domain matching (CDM) is to find correspondences between two sets of objects in different domains in an unsupervised way. CDM has various interesting applications, including photo album summarization where photos are automatically a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3adbe579098c36021fe34b9ed5555488
https://pubmed.ncbi.nlm.nih.gov/26353125
https://pubmed.ncbi.nlm.nih.gov/26353125
Publikováno v:
KDD
Affinity Propagation is a clustering algorithm used in many applications. It iteratively updates messages between data points until convergence. The message updating process enables Affinity Propagation to have higher clustering quality compared with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::407db281716db3e2fa3825906041ea36
https://doi.org/10.1145/2783258.2783280
https://doi.org/10.1145/2783258.2783280
Autor:
Yasushi Sakurai, Machiko Toyoda
Publikováno v:
ICDE
In this paper, we focus on the problem of finding partial similarity between data streams. Our solution relies on dynamic time warping (DTW) as a similarity measure, which computes the distance between sequences whose lengths and/or sampling rates ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f59197d8ac31de6e7a305327a4caaeaf
https://doi.org/10.1109/icde.2010.5447927
https://doi.org/10.1109/icde.2010.5447927
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540856535
DEXA
DEXA
Similarity search has been studied in a domain of time series data mining, and it is an important technique in stream mining. Since sampling rates of streams are frequently different, and their time period varies in practical situations, the method w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07996c9ad1c7f338e3cde82a509ed01f
https://doi.org/10.1007/978-3-540-85654-2_23
https://doi.org/10.1007/978-3-540-85654-2_23
Publikováno v:
The VLDB Journal. 22(3):295-318
Subsequence matching is a basic problem in the field of data stream mining. In recent years, there has been significant research effort spent on efficiently finding subsequences similar to a query sequence. Another challenging issue in relation to su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f91a0cecad829e09467505052a55c3a