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![[2605.31103] Model-Agnostic Signal Discovery with Machine Learning: Bridging the Gap Between Theory and Practice](/static/img/curated/desks/afbytes-tech.w400.webp)
Abstract page for arXiv paper 2605.31103: Model-Agnostic Signal Discovery with Machine Learning: Bridging the Gap Between Theory and Practice
Abstract page for arXiv paper 2605.31107: Clustering in atom probe tomography data: coordination number metric, percolation-based parameter scaling, and size ef...
Abstract page for arXiv paper 2605.31045: Data evaluation processes of different-sized datasets: an eye-tracking with concurrent think-aloud study
Abstract page for arXiv paper 2605.31026: From Statistics to Individuals: An Exploration of Zoomable Empathic Visualizations
> The quality of a survey is best judged not by its size, scope, or prominence, but by how much attention is given to dealing with the many important…