Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Yabo Ni"'
Quantitative assessment of rotator cuff injuries using synthetic MRI and IDEAL-IQ imaging techniques
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37307- (2024)
Purpose: To evaluate synthetic magnetic resonance imaging (SyMRI) and iterative decomposition of water and fat with echo asymmetry and least squares estimation (IDEAL-IQ) imaging for a comprehensive evaluation of rotator cuff injuries (RCI). Methods:
Externí odkaz:
https://doaj.org/article/6f1902a017384421a5281c61f0391bcd
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12387-12395
Item representation learning is crucial for search and recommendation tasks in e-commerce. In e-commerce, the instances (e.g., items, users) in different domains are always related. Such instance relationship across domains contains useful local info
Autor:
Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou
In recent years, recommender systems have advanced rapidly, where embedding learning for users and items plays a critical role. A standard method learns a unique embedding vector for each user and item. However, such a method has two important limita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63e37b974af22d32c71f87d977cd2e6f
Publikováno v:
2021 IEEE 15th International Conference on Anti-counterfeiting, Security, and Identification (ASID).
In the past decade, recommender systems for e-commerce have witnessed significant advancement. Recommendation scenarios can be divided into different type (e.g., pre-, during-, post-purchase, campaign, promotion, bundle) for different user groups or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5389a9d4960d7b9339789bcdeb21cb95
https://hdl.handle.net/10356/152717
https://hdl.handle.net/10356/152717
Publikováno v:
2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT).
This paper introduces a kind of timing adaptive corrected circuit, which quantifies the phase between data generating clock and sampling clock, compares the current phase with the target phase that meets the timing requirement, adjusts the delay of o
Publikováno v:
ICDM (Workshops)
Recommender systems (RSs) are essential for e-commerce platforms to help meet the enormous needs of users. How to capture user interests and make accurate recommendations for users in heterogeneous e-commerce scenarios is still a continuous research
Publikováno v:
Algorithms, Vol 17, Iss 5, p 213 (2024)
We consider the estimation of the marginal likelihood in Bayesian statistics, with primary emphasis on Gaussian graphical models, where the intractability of the marginal likelihood in high dimensions is a frequently researched problem. We propose a
Externí odkaz:
https://doaj.org/article/587ec445fba84d81a5d14dd7f0b83c21
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Publikováno v:
KDD
Tasks such as search and recommendation have become increas- ingly important for E-commerce to deal with the information over- load problem. To meet the diverse needs of di erent users, person- alization plays an important role. In many large portals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81d0c91cec4f76e629751845ef436b5f
http://arxiv.org/abs/1805.10727
http://arxiv.org/abs/1805.10727
Publikováno v:
Electronics Letters. 51:466-467
A high energy-efficiency mixed capacitor switching scheme is proposed for the successive approximation register (SAR) analogue-to-digital converter (ADC). The new switching scheme combines a new switching method, monotonic switching method and split-