Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Within days of taking office, the Trump administration began purging federal demographic data—on a wide range of topics, including public health, education and climate—from government websites to ...

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...

USU’s data classification system organizes data into three tiers based on the potential adverse impact of unauthorized access, use, or alteration. This system helps us manage risks associated with ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. When applying machine learning (ML) approaches for the prediction of bioactivity, it ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset that’s ...

Division of Materials Science, Nara Institute of Science and Technology, Ikoma-shi, Nara-ken 630-0192, Japan Data Science Center, Nara Institute of Science and ...

Abstract: In this study, we propose a multi-task learning model of classification and generation for set-structured data. The proposed model learns data generation and classification in a single ...

Abstract: This paper studies the classification of unbalanced data sets. First, this kind of data sets is briefly introduced, and then the classification methods of unbalanced data sets are analyzed ...

Many academic institutions apply their data classification schemas in service of a range of institutional functions. At UW–Madison, for example, we use data classification in the following ways: With ...