Cybersecurity roundup: supply chain threats, AI agent risks, browser-cloning malware, mule networks, endpoint bypasses, and ...

This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...

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Therefore, this tutorial describes the use of traditional qualitative methods to analyze a large corpus of qualitative text data. We use examples from a nationwide SMS text messaging poll of youth to ...

In my work with students across age groups, I have found great power in using words and images, as well as elements of design, to build capacity for critical analysis and discussion. Comics can be an ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

ConText is a new tool allowing you to to analyze corpora through a browser-based interface. Rather than separating out reports views, ConText uses hyperlinks to allow you to navigate connections ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Abstract: Handwritten text analysis for author identification is a significant but difficult topic with wide applications across several areas. The effectiveness of deep learning models, notably ...