Adam Kapelner,Justin Bleich,Alina Levine et al.
Adam Kapelner et al.
We present methodological advances in understanding the effectiveness of personalized medicine models and supply easy-to-use open-source software. Personalized medicine involves the systematic use of individual patient characteristics to de...
Gianfranco Chicco
Gianfranco Chicco
In the smart grid era, the number of data available for different applications has increased considerably. However, data could not perfectly represent the phenomenon or process under analysis, so their usability requires a preliminary valid...
Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies [0.03%]
基于八卦的消息传递在参与式流行病学研究中的隐私保护政策更新机制
Aakash Sharma,Thomas Bye Nilsen,Katja Pauline Czerwinska et al.
Aakash Sharma et al.
Researchers and researched populations are actively involved in participatory epidemiology. Such studies collect many details about an individual. Recent developments in statistical inferences can lead to sensitive information leaks from se...
Increasing the Execution Speed of Containerized Analysis Workflows Using an Image Snapshotter in Combination With CVMFS [0.03%]
基于镜像快照技术的容器化分析工作流加速方法研究——以CVMFS为例
Simone Mosciatti,Clemens Lange,Jakob Blomer
Simone Mosciatti
The past years have shown a revolution in the way scientific workloads are being executed thanks to the wide adoption of software containers. These containers run largely isolated from the host system, ensuring that the development and exec...
Iowa Urban FEWS: Integrating Social and Biophysical Models for Exploration of Urban Food, Energy, and Water Systems [0.03%]
基于社会与生物物理模型的城市食品能源水系统集成研究——以爱荷华州为例
Jan Thompson,Baskar Ganapathysubramanian,Wei Chen et al.
Jan Thompson et al.
Most people in the world live in urban areas, and their high population densities, heavy reliance on external sources of food, energy, and water, and disproportionately large waste production result in severe and cumulative negative environ...
Scalable Declarative HEP Analysis Workflows for Containerised Compute Clouds [0.03%]
可扩展的声明式HEP分析工作流用于容器计算云
Tibor Šimko,Lukas Alexander Heinrich,Clemens Lange et al.
Tibor Šimko et al.
We describe a novel approach for experimental High-Energy Physics (HEP) data analyses that is centred around the declarative rather than imperative paradigm when describing analysis computational tasks. The analysis process can be structure...
Association vs. Prediction: The Impact of Cortical Surface Smoothing and Parcellation on Brain Age [0.03%]
关联与预测：皮层表面平滑和划分对脑年龄的影响
Yashar Zeighami,Alan C Evans
Yashar Zeighami
Association and prediction studies of the brain target the biological consequences of aging and their impact on brain function. Such studies are conducted using different smoothing levels and parcellations at the preprocessing stage, on whi...
Proving the Correctness of Knowledge Graph Update: A Scenario From Surveillance of Adverse Childhood Experiences [0.03%]
论证实证儿童经历监视中的知识图更新的正确性
Jon Haël Brenas,Arash Shaban-Nejad
Jon Haël Brenas
Knowledge graphs are a modern way to store information. However, the knowledge they contain is not static. Instances of various classes may be added or deleted and the semantic relationship between elements might evolve as well. When such c...
Detecting Group Anomalies in Tera-Scale Multi-Aspect Data via Dense-Subtensor Mining [0.03%]
基于密集子张量挖掘的tera级多方面群体异常检测
Kijung Shin,Bryan Hooi,Jisu Kim et al.
Kijung Shin et al.
How can we detect fraudulent lockstep behavior in large-scale multi-aspect data (i.e., tensors)? Can we detect it when data are too large to fit in memory or even on a disk? Past studies have shown that dense subtensors in real-world tensor...
Data-Driven Computational Social Network Science: Predictive and Inferential Models for Web-Enabled Scientific Discoveries [0.03%]
数据驱动的计算社会科学：网络赋能科学发现的预测和推断模型
Frank Emmert-Streib,Matthias Dehmer
Frank Emmert-Streib
The ultimate goal of the social sciences is to find a general social theory encompassing all aspects of social and collective phenomena. The traditional approach to this is very stringent by trying to find causal explanations and models. Ho...