Types of Privacy Expectations [0.03%]
隐私期待的类型
Ashwini Rao,Juergen Pfeffer
Ashwini Rao
Understanding user privacy expectations is important and challenging. General Data Protection Regulation (GDPR) for instance requires companies to assess user privacy expectations. Existing privacy literature has largely considered privacy ...
Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification [0.03%]
稳健的机器学习方法在结直肠癌风险预测和分类中的应用
Bradley J Nartowt,Gregory R Hart,Wazir Muhammad et al.
Bradley J Nartowt et al.
While colorectal cancer (CRC) is third in prevalence and mortality among cancers in the United States, there is no effective method to screen the general public for CRC risk. In this study, to identify an effective mass screening method for...
Algorithmic Profiling of Job Seekers in Austria: How Austerity Politics Are Made Effective [0.03%]
奥地利求职者的算法画像：紧缩政策如何得以施行
Doris Allhutter,Florian Cech,Fabian Fischer et al.
Doris Allhutter et al.
As of 2020, the Public Employment Service Austria (AMS) makes use of algorithmic profiling of job seekers to increase the efficiency of its counseling process and the effectiveness of active labor market programs. Based on a statistical mod...
AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures [0.03%]
基于统计、神经和集成架构的医疗保健时间序列预测人工智能研究
Shruti Kaushik,Abhinav Choudhury,Pankaj Kumar Sheron et al.
Shruti Kaushik et al.
Both statistical and neural methods have been proposed in the literature to predict healthcare expenditures. However, less attention has been given to comparing predictions from both these methods as well as ensemble approaches in the healt...
The Datafication of Hate: Expectations and Challenges in Automated Hate Speech Monitoring [0.03%]
仇恨的量化：自动化仇恨言语监测的期望与挑战
Salla-Maaria Laaksonen,Jesse Haapoja,Teemu Kinnunen et al.
Salla-Maaria Laaksonen et al.
Hate speech has been identified as a pressing problem in society and several automated approaches have been designed to detect and prevent it. This paper reports and reflects upon an action research setting consisting of multi-organizationa...
Yi-Wei Chen,Qingquan Song,Xi Liu et al.
Yi-Wei Chen et al.
Neural architecture search (NAS), which aims at automatically seeking proper neural architectures given a specific task, has attracted extensive attention recently in supervised learning applications. In most real-world situations, the clas...
Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data [0.03%]
融合再分析数据的深度学习在热带气旋路径预测中的应用研究
Sophie Giffard-Roisin,Mo Yang,Guillaume Charpiat et al.
Sophie Giffard-Roisin et al.
The forecast of tropical cyclone trajectories is crucial for the protection of people and property. Although forecast dynamical models can provide high-precision short-term forecasts, they are computationally demanding, and current statisti...
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning [0.03%]
神经符号论证挖掘：深度学习和推理的优势论据
Andrea Galassi,Kristian Kersting,Marco Lippi et al.
Andrea Galassi et al.
Deep learning is bringing remarkable contributions to the field of argumentation mining, but the existing approaches still need to fill the gap toward performing advanced reasoning tasks. In this position paper, we posit that neural-symboli...
Spatial Pattern and Environmental Drivers of Acid Phosphatase Activity in Europe [0.03%]
欧洲酸性磷酸酶活性的空间格局及其环境驱动力
Yan Sun,Daniel S Goll,Philippe Ciais et al.
Yan Sun et al.
Acid phosphatase produced by plants and microbes plays a fundamental role in the recycling of soil phosphorus (P). A quantification of the spatial variation in potential acid phosphatase activity (AP) on large spatial scales and its drivers...
Bioactivity Signatures of Drugs vs. Environmental Chemicals Revealed by Tox21 High-Throughput Screening Assays [0.03%]
Tox21高通量筛选模型揭示的环境化学物质和药物的生物活性指纹图谱
Deborah K Ngan,Lin Ye,Leihong Wu et al.
Deborah K Ngan et al.
Humans are exposed to tens of thousands of chemicals over the course of a lifetime, yet there remains inadequate data on the potential harmful effects of these substances on human health. Using quantitative high-throughput screening (qHTS),...