Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series [0.03%]
基于因子的大规模时间序列多变量多步预测框架
Jacopo De Stefani,Gianluca Bontempi
Jacopo De Stefani
State-of-the-art multivariate forecasting methods are restricted to low dimensional tasks, linear dependencies and short horizons. The technological advances (notably the Big data revolution) are instead shifting the focus to problems chara...
Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems? [0.03%]
用于故障后定位，动态状态估计算及最优测量配置的神经网络选择研究
Andrei Afonin,Michael Chertkov
Andrei Afonin
We consider a power transmission system monitored using phasor measurement units (PMUs) placed at significant, but not all, nodes of the system. Assuming that a sufficient number of distinct single-line faults, specifically the pre-fault st...
Towards Machine-Readable (Meta) Data and the FAIR Value for Artificial Intelligence Exploration of COVID-19 and Cancer Research Data [0.03%]
迈向机器可读的（元）数据以及FAIR价值在探索COVID-19和癌症研究数据的人工智能中的应用
Maria Luiza M Campos,Eugênio Silva,Renato Cerceau et al.
Maria Luiza M Campos et al.
Structural Compression of Convolutional Neural Networks with Applications in Interpretability [0.03%]
卷积神经网络的结构压缩及在可解释性中的应用
Reza Abbasi-Asl,Bin Yu
Reza Abbasi-Asl
Deep convolutional neural networks (CNNs) have been successful in many tasks in machine vision, however, millions of weights in the form of thousands of convolutional filters in CNNs make them difficult for human interpretation or understan...
Unified Representation of Twitter and Online News Using Graph and Entities [0.03%]
基于图和实体的Twitter及在线新闻统一切入点
Munira Syed,Daheng Wang,Meng Jiang et al.
Munira Syed et al.
To improve consumer engagement and satisfaction, online news services employ strategies for personalizing and recommending articles to their users based on their interests. In addition to news agencies' own digital platforms, they also leve...
Computer Vision for Continuous Bedside Pharmacological Data Extraction: A Novel Application of Artificial Intelligence for Clinical Data Recording and Biomedical Research [0.03%]
用于临床数据记录和生物医学研究的人工智能新应用：连续床边药理学数据提取的计算机视觉技术
Logan Froese,Joshua Dian,Carleen Batson et al.
Logan Froese et al.
Introduction: As real time data processing is integrated with medical care for traumatic brain injury (TBI) patients, there is a requirement for devices to have digital output. However, there are still many devices that fail to have the req...
A Predictive Maintenance Model for Flexible Manufacturing in the Context of Industry 4.0 [0.03%]
工业4.0背景下柔性制造的预测性维护模型
Go Muan Sang,Lai Xu,Paul de Vrieze
Go Muan Sang
The Industry 4.0 paradigm is the focus of modern manufacturing system design. The integration of cutting-edge technologies such as the Internet of things, cyber-physical systems, big data analytics, and cloud computing requires a flexible p...
Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere [0.03%]
基于数据驱动的北极海冰与大气相互作用因果关系发现方法的benchmark研究
Yiyi Huang,Matthäus Kleindessner,Alexey Munishkin et al.
Yiyi Huang et al.
The Arctic sea ice has retreated rapidly in the past few decades, which is believed to be driven by various dynamic and thermodynamic processes in the atmosphere. The newly open water resulted from sea ice decline in turn exerts large influ...
Disease Modelling of Cognitive Outcomes and Biomarkers in the European Prevention of Alzheimer's Dementia Longitudinal Cohort [0.03%]
欧洲预防阿尔茨海默病纵向队列中认知结果和生物标志物的疾病建模
James Howlett,Steven M Hill,Craig W Ritchie et al.
James Howlett et al.
A key challenge for the secondary prevention of Alzheimer's dementia is the need to identify individuals early on in the disease process through sensitive cognitive tests and biomarkers. The European Prevention of Alzheimer's Dementia (EPAD...
Novi Quadrianto,Björn W Schuller,Finnian Rachel Lattimore
Novi Quadrianto