|
|
|
Baoyu Fan, Han Ma, Yue Liu and Xiaochen Yuan
With the growth of data in the real world, datasets often encounter the problem of long-tailed distribution of class sample sizes. In long-tailed image recognition, existing solutions usually adopt a class rebalancing strategy, such as reweighting based ...
ver más
|
|
|
|
|
|
|
Claudia Angelica Rivera-Romero, Jorge Ulises Munoz-Minjares, Carlos Lastre-Dominguez and Misael Lopez-Ramirez
Identifying patient posture while they are lying in bed is an important task in medical applications such as monitoring a patient after a surgical intervention, sleep supervision to identify behavioral and physiological markers, or for bedsore prevention...
ver más
|
|
|
|
|
|
|
Hongjun Cui, Guang Chen, Minqing Zhu, Yue Su and Jingxuan Liu
A scientifically accurate assessment of tunnel health is the prerequisite for the safe maintenance and sustainability of the in-service road tunnel. The changing trend of tunnel health is not considered in existing research. Most evaluation indicators ar...
ver más
|
|
|
|
|
|
|
Nassar S. Al-Nassar
This study contributes to the ongoing debate on the size effect and size-based investment styles by investigating the return and volatility spillovers and time-varying conditional correlations among Saudi large-, mid-, and small-cap indices. To this end,...
ver más
|
|
|
|
|
|
|
Mirza Sikalo, Almira Arnaut-Berilo and Adela Delalic
Comparing portfolio performance is complex due to the fact that each model is dominant in its own risk space. Since there is no single dominant performance measure, the research problem is how to incorporate several different measures into a performance ...
ver más
|
|
|
|
|
|
|
Xue Dai, Xiaoqin Li, Yuguang Zhang, Wenping Li, Xiangsheng Meng, Liangning Li and Yanbo Han
With the gradual increase of coal production capacity, the issue of water hazards in coal seam roofs is increasing in prominence. Accurate and effective prediction of the water content of the roof aquifer, based on limited hydrogeological data, is critic...
ver más
|
|
|
|
|
|
|
Alysha van Duynhoven and Suzana Dragicevic
An open problem impeding the use of deep learning (DL) models for forecasting land cover (LC) changes is their bias toward persistent cells. By providing sample weights for model training, LC changes can be allocated greater influence in adjustments to m...
ver más
|
|
|
|
|
|
|
Zhaohui Li, Lin Wang, Wenjia Piao, Hao Jia, Shan Dong and Jiehan Zhang
With the rapid development of global trade, the turnover of shipping containers has increased rapidly. How to use port resources reasonably and efficiently has become one of the main challenges that ports need to deal with when planning for the future. I...
ver más
|
|
|
|
|
|
|
Guizhe Song, Degen Huang and Zhifeng Xiao
Multilingual characteristics, lack of annotated data, and imbalanced sample distribution are the three main challenges for toxic comment analysis in a multilingual setting. This paper proposes a multilingual toxic text classifier which adopts a novel fus...
ver más
|
|
|
|
|
|
|
Shenghua Xu, Meng Zhang, Yu Ma, Jiping Liu, Yong Wang, Xinrui Ma and Jie Chen
Geological disaster risk assessment can quantitatively assess the risk of disasters to hazard-bearing bodies. Visualizing the risk of geological disasters can provide scientific references for regional engineering construction, urban planning, and disast...
ver más
|
|
|
|