Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sarah Erfani"'
Publikováno v:
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) ISBN: 9781611977653
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b90fd995550cf7753a06a27844adbf21
https://doi.org/10.1137/1.9781611977653.ch20
https://doi.org/10.1137/1.9781611977653.ch20
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031263507
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ca87c67c052f1441e2dcab0d09318b0
https://doi.org/10.1007/978-3-031-26351-4_41
https://doi.org/10.1007/978-3-031-26351-4_41
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b21b64dcad13f8311ecb1cc6a8c8103c
https://doi.org/10.1007/978-3-031-20083-0_28
https://doi.org/10.1007/978-3-031-20083-0_28
Detecting beneficial feature interactions is essential in recommender systems, and existing approaches achieve this by examining all the possible feature interactions. However, the cost of examining all the possible higher-order feature interactions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efbd24254765bb7d04e9a343eb69ab27
This book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New Zealand, during December 11–13, 2023.The 20 full papers presented in this book were carefully reviewed
Feature interactions are essential for achieving high accuracy in recommender systems. Many studies take into account the interaction between every pair of features. However, this is suboptimal because some feature interactions may not be that releva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f714a0dcca615f2a71c672899145887
http://arxiv.org/abs/2008.00404
http://arxiv.org/abs/2008.00404
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
Continuous Human Activity Recognition (HAR) is an important application of smart mobile/wearable systems for providing dynamic assistance to users. However, HAR in real-time requires continuous sampling of data using built-in sensors (e.g., accelerom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b2e3b90df670d89bc552fe120731471
https://doi.org/10.1609/aaai.v32i1.11862
https://doi.org/10.1609/aaai.v32i1.11862
Publikováno v:
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f89173c123b70f697c3e7339f0aca26
https://doi.org/10.4108/eai.7-11-2017.2273710
https://doi.org/10.4108/eai.7-11-2017.2273710
Autor:
Sarah Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
Publikováno v:
Scopus-Elsevier
Training machine leaning algorithms on augmented data fromdifferent related sources is a challenging task. This problemarises in several applications, such as the Internet of Things(IoT), where data may be collected from devices with differentsetting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4941b4fa66619642c72feb628e52a7e4
http://www.scopus.com/inward/record.url?eid=2-s2.0-85030466327&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85030466327&partnerID=MN8TOARS