Implementation plans for the National Institutes of Health policy for data management and sharing, which takes effect in 2023, provide an opportunity to reflect on the stakeholders, infrastructures, practice, economics, and sustainability of data sha...
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Oct 2, 2019 · Encourage full meta data delivery with all data sets and to establish and promote the use standard descriptors to allow best data harvesting Include to the EOVs discussion issues such as …
This paper introduces the problem of coresets for regression problems to panel data settings. We first define coresets for several variants of regression problems with panel data and then present efficient algorithms to construct coresets of size tha...
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Oct 2, 2019 · Encourage full meta data delivery with all data sets and to establish and promote the use standard descriptors to allow best data harvesting Include to the EOVs discussion issues such as …
Provenance, or information about the origin or derivation of data, is important for assessing the trustworthiness of data and identifying and correcting mistakes. Most prior implementations of data provenance have involved heavyweight modifications t...
Oct 2, 2019 · Encourage full meta data delivery with all data sets and to establish and promote the use standard descriptors to allow best data harvesting Include to the EOVs discussion issues such as …
Data Propinsi, kabupaten, kecamatan dan kelurahan di Indonesia dalam bentuk json (⭐ 308)
The information era is the time when information is not only largely generated, but also vastly processed in order to extract and generated more information. The complex nature of modern living is represented by the various kind of data. Data can be...
Concurrent and parallel programming is difficult due to the presence of memory side-effects, which may introduce data races. Type qualifiers, such as reference capabilities, can remove data races by restricting sharing of mutable data. Unfortunately,...
Data Augmentation (DA) is known to improve the generalizability of deep neural networks. Most existing DA techniques naively add a certain number of augmented samples without considering the quality and the added computational cost of these samples....
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How governments and Internet companies regulate user data on social media attracts public attention. This study tried to answer two questions: What kind of countries send more requests for Facebook user data? What kind of countries get more requests...
A graph or chart is a graphic that represents tabular or numeric data. Charts are often used to make it easier to understand large quantities of data and the relationships between different parts of the data.
Oct 2, 2019 · Encourage full meta data delivery with all data sets and to establish and promote the use standard descriptors to allow best data harvesting Include to the EOVs discussion issues such as …
With Libelle DataMasking we provide data masking software to anonymize sensitive and personal data and work with it sensibly - whether in SAP ® or another environment.
Internet companies derive value from users by recording and influencing their behavior. Users can pressure companies to refrain from certain invasive and manipulative practices by selectively withdrawing their attention, an exercise of data leverage...
This paper presents the development of a prototype Automatic Speech Recognition (ASR) system specifically designed for Bengali biomedical data. Recent advancements in Bengali ASR are encouraging, but a lack of domain-specific data limits the creation...
Psychological bias towards, or away from, a prior measurement or a theory prediction is an intrinsic threat to any data analysis. While various methods can be used to avoid the bias, e.g. actively not looking at the result, only data blinding is a tr...