1 code implementation • 3 Jul 2023 • Ye Bi, Leticia M. Campos, Jin Wang, Haipeng Yu, Mark D. Hanigan, Gota Morota
Therefore, the objectives of this study were to predict cow body weight from repeatedly measured video data, to compare the performance of the thresholding and Mask R-CNN deep learning approaches, to evaluate the predictive ability of body weight regression models, and to promote open science in the animal science community by releasing the source code for video-based body weight prediction.
no code implementations • 14 Aug 2020 • Ye Bi, Shuo Wang, Zhongrui Fan
The animated Graphical Interchange Format (GIF) images have been widely used on social media as an intuitive way of expression emotion.
no code implementations • 14 Aug 2020 • Ye Bi, Shuo Wang, Zhongrui Fan
The cataloging of product listings is a fundamental problem for most e-commerce platforms.
no code implementations • 11 Aug 2020 • Liqiang Song, Ye Bi, Mengqiu Yao, Zhen-Yu Wu, Jianming Wang, Jing Xiao
In this paper, we propose a unified framework named Dynamic RElation Aware Model (DREAM) for social recommendation, which tries to model both users dynamic interests and their friends temporal influences.
no code implementations • 6 Aug 2020 • Bo Huang, Ye Bi, Zhen-Yu Wu, Jianming Wang, Jing Xiao
The problem of session-based recommendation aims to predict user next actions based on session histories.
1 code implementation • 30 Jul 2020 • Ye Bi, Liqiang Song, Mengqiu Yao, Zhen-Yu Wu, Jianming Wang, Jing Xiao
Specifically, we first try to learn more effective user and item latent features in both source and target domains.
no code implementations • 27 Jul 2020 • Ye Bi, Liqiang Song, Mengqiu Yao, Zhen-Yu Wu, Jianming Wang, Jing Xiao
In this paper, we propose a Deep Cross Domain Insurance Recommendation System (DCDIR) for cold start users.