Uncover the reasons for performance differences between measurement functions (Provably) [0.03%]
揭秘度量函数性能差异的原因（形式化方法证明）
Chao Wang,Jianchuan Feng,Linfang Liu et al.
Chao Wang et al.
Recently, an exciting experimental conclusion in Li et al. (Knowl Inf Syst 62(2):611-637, 1) about measures of uncertainty for knowledge bases has attracted great research interest for many scholars. However, these efforts lack solid theore...
Hierarchical attention network for multivariate time series long-term forecasting [0.03%]
用于多变量时间序列长期预测的层次注意力网络
Hongjing Bi,Lilei Lu,Yizhen Meng
Hongjing Bi
Multivariate time series long-term forecasting has always been the subject of research in various fields such as economics, finance, and traffic. In recent years, attention-based recurrent neural networks (RNNs) have received attention due ...
Computation and memory optimized spectral domain convolutional neural network for throughput and energy-efficient inference [0.03%]
用于高效能和节能推理的计算与内存优化光谱域卷积神经网络
Shahriyar Masud Rizvi,Ab Al-Hadi Ab Rahman,Usman Ullah Sheikh et al.
Shahriyar Masud Rizvi et al.
Conventional convolutional neural networks (CNNs) present a high computational workload and memory access cost (CMC). Spectral domain CNNs (SpCNNs) offer a computationally efficient approach to compute CNN training and inference. This paper...
Explaining deep reinforcement learning decisions in complex multiagent settings: towards enabling automation in air traffic flow management [0.03%]
复杂多智能体设置下深度强化学习决策解释在空中交通流量管理中的应用研究
Theocharis Kravaris,Konstantinos Lentzos,Georgios Santipantakis et al.
Theocharis Kravaris et al.
With the objective to enhance human performance and maximize engagement during the performance of tasks, we aim to advance automation for decision making in complex and large-scale multi-agent settings. Towards these goals, this paper prese...
A new humanitarian relief logistic network for multi-objective optimization under stochastic programming [0.03%]
基于随机规划的多层次人道主义救援物流网络新设计及多目标优化研究
Peiman Ghasemi,Fariba Goodarzian,Ajith Abraham
Peiman Ghasemi
Millions of affected people and thousands of victims are consequences of earthquakes, every year. Therefore, it is necessary to prepare a proper preparedness and response planning. The objectives of this paper are i) minimizing the expected...
An integrated fuzzy-grey relational analysis approach to portfolio optimization [0.03%]
集层灰色关联分析法的资产组合选择模型研究
Mukesh Kumar Mehlawat,Pankaj Gupta,Ahmad Zaman Khan
Mukesh Kumar Mehlawat
This paper combines two approaches (Fuzzy set theory and Grey Relational Analysis) for modelling an investor's imprecise linguistic expectations and the uncertain returns of assets. We propose a novel maximization-type risk measure capable ...
Rumor detection on social media using hierarchically aggregated feature via graph neural networks [0.03%]
基于图神经网络的社交网络谣言检测方法研究
Shouzhi Xu,Xiaodi Liu,Kai Ma et al.
Shouzhi Xu et al.
In the era of the Internet and big data, online social media platforms have been developing rapidly, which accelerate rumors circulation. Rumor detection on social media is a worldwide challenging task due to rumor's feature of high speed, ...
Cascaded parallel crowd counting network with multi-resolution collaborative representation [0.03%]
具有多分辨率协作表示的级联并行人群计数网络
Lei Lyu,Run Han,Ziming Chen
Lei Lyu
Accurately estimating the size and density distribution of a crowd from images is of great importance to public safety and crowd management during the COVID-19 pandemic, but it is very challenging as it is affected by many complex factors, ...
Yusra Ghafoor,Shi Jinping,Fernando H Calderon et al.
Yusra Ghafoor et al.
Microblogs generate a vast amount of data in which users express their emotions regarding almost all aspects of everyday life. Capturing affective content from these context-dependent and subjective texts is a challenging task. We propose a...
Person re-identification via semi-supervised adaptive graph embedding [0.03%]
基于半监督自适应图嵌入的跨摄像机行人重识别方法
Jiao Liu,Mingquan Lin,Mingbo Zhao et al.
Jiao Liu et al.
Video surveillance is an indispensable part of the smart city for public safety and security. Person Re-Identification (Re-ID), as one of elementary learning tasks for video surveillance, is to track and identify a given pedestrian in a mul...