Abstract: This paper revisits the role of quantitative and qualitative methods in visualization research in the context of advancements in artificial intelligence (AI). The focus is on how we can ...
Abstract: Deep neural networks (DNNs) are sensitive to adversarial examples which are generated by corrupting benign examples with imperceptible perturbations, or have significant changes but can ...
As a qualitative researcher, Ruth Abrams, a senior lecturer at the University of Surrey, doesn’t usually share her data. “It feels like a private moment between the researcher and the participant,” ...
In the relentless pursuit of alpha, investors have long turned to quantitative data—the hard numbers of earnings reports, balance sheets and economic indicators. Just look at the myriad quant fund ...
First of all, thank you for the great work on shadcn-vue 🙏. The project is elegant, modern, and well-structured. However, after reviewing the shadcn-vue Data Table documentation, I noticed that the ...
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 ...
👓 What did you see? I came across the README.md about the DataTable Matchers and wanted to understand how to perform a list assertion with it. The problem with the sample code is that it assumes that ...
Objectives Shift work is associated with various health challenges, including obesity and metabolic disturbances. To address these concerns, a randomised controlled clinical trial was conducted to ...
ABSTRACT: The banking sector, crucial to economic growth in developing nations, is undergoing rapid digital transformation, especially in Serbia, where competition among banks is fierce. This study ...
Elizabeth Gage Bouchard, PhD Senior Vice President for Community Outreach and Engagement Professor of Oncology, Department of Cancer Prevention and Control Roswell Park Comprehensive Cancer Center ...
ABSTRACT: Background: A significant challenge in developing AI assistants, such as chatbots as mentors or coaches for leaders, is the Uncanny Valley effect. This phenomenon describes the discomfort ...