Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Steven Lynden"'
Autor:
Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven Lynden, Kyoung-Sook Kim, Akiyoshi Matono
Publikováno v:
IEEE Access, Vol 10, Pp 73879-73892 (2022)
Actionable knowledge graph (AKG), a specialized version of knowledge graph, was proposed recently to represent, analyze, and predict human action, thus facilitating deeper understanding of human action by robots. However, the automatic construction o
Externí odkaz:
https://doaj.org/article/42b3309508464beeb311f02919acf547
Autor:
Yijun Duan, Xin Liu, Adam Jatowt, Hai-tao Yu, Steven Lynden, Kyoung-Sook Kim, Akiyoshi Matono
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4479 (2022)
In many real-world networks of interest in the field of remote sensing (e.g., public transport networks), nodes are associated with multiple labels, and node classes are imbalanced; that is, some classes have significantly fewer samples than others.
Externí odkaz:
https://doaj.org/article/4733d0722ddf46539cf6a084ee317eb8
Autor:
Yijun Duan, Xin Liu, Adam Jatowt, Hai-tao Yu, Steven Lynden, Kyoung-Sook Kim, Akiyoshi Matono
Publikováno v:
Remote Sensing, Vol 14, Iss 14, p 3295 (2022)
Deep learning algorithms have seen a massive rise in popularity for remote sensing over the past few years. Recently, studies on applying deep learning techniques to graph data in remote sensing (e.g., public transport networks) have been conducted.
Externí odkaz:
https://doaj.org/article/00b46418a6694fa1bdabedaa52f71e7e
Publikováno v:
International Database Engineered Applications Symposium Conference.
Entity Matching (EM) involves identifying different data representations referring to the same entity from multiple data sources and is typically formulated as a binary classification problem. It is a challenging problem in data integration due to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb88f836b541e25fb340208c24ac7ef4
https://doi.org/10.1145/3589462.3589498
https://doi.org/10.1145/3589462.3589498
Autor:
Yijun Duan, Xin Liu, Adam Jatowt, Hai-tao Yu, Steven Lynden, Kyoung-Sook Kim, Akiyoshi Matono
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031263897
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fe22870ccaf8571a6bfeeb927c254da
https://doi.org/10.1007/978-3-031-26390-3_2
https://doi.org/10.1007/978-3-031-26390-3_2
Autor:
Yijun Duan, Xin Liu, Adam Jatowt, Hai-tao Yu, Steven Lynden, Kyoung-Sook Kim, Akiyoshi Matono
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83e9dcfb05b5e6635186b02c254a324e
https://doi.org/10.1109/ijcnn55064.2022.9892598
https://doi.org/10.1109/ijcnn55064.2022.9892598
Publikováno v:
JCSSE
An increasing number of data visualization tools have started to support the automatic generation of modifications, embellishments, and natural language annotations (data facts) to aid in better understanding the data being visualized. Concurrently,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1a990ed16eea31d090bfb074b3508a9
https://doi.org/10.1109/jcsse49651.2020.9268315
https://doi.org/10.1109/jcsse49651.2020.9268315
Autor:
Supisara Sukkanta, Steven Lynden, Waran Taveekarn, Suppawong Tuarob, Wudhichart Sawangphol, Chatchanin Yimudom
Publikováno v:
JCSSE
In the present, technology has become a big influence that impacts the lives of many humans, with artificial intelligence being one of the most influential elements. Creative feature engineering is an important part of machine learning methodology th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06ce7e263e7beec5086de5c79ac9a15d
https://doi.org/10.1109/jcsse.2019.8864152
https://doi.org/10.1109/jcsse.2019.8864152
Autor:
Steven Lynden, Waran Taveekarn
Publikováno v:
Data Mining and Big Data ISBN: 9789813295629
DMBD
DMBD
Creative feature engineering is an important aspect within machine learning prediction tasks which can be facilitated by augmenting datasets with additional data to improve predictions. This paper presents an approach towards augmenting existing data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba2dc9e3a294ce8046362a9356192ffb
https://doi.org/10.1007/978-981-32-9563-6_8
https://doi.org/10.1007/978-981-32-9563-6_8
Autor:
Natthawut Kertkeidkachorn, Tsuyoshi Murata, Steven Lynden, Kyoung-Sook Kim, Xin Liu, Julien Leblay
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319973036
PRICAI (1)
PRICAI (1)
Network embedding based on the random walk and skip-gram model such as the DeepWalk and Node2Vec algorithms have received wide attention. We identify that these algorithms essentially estimate the node similarities by random walk simulation, which is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10ba7bb765e453ae992d83ee09dfea43
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100795236
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100795236