Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Abstract: The Uniform Manifold Approximation and Projection (UMAP) algorithm is a powerful tool for dimensionality reduction, renowned for its ability to preserve both local and global data structures ...

With the growing reliance on deep learning (DL) models for tasks in computer vision, high-quality training data is essential for the development of accurate models. However, generating large, labeled ...

ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...

We need to fix this, because this is a common case that users will experience often in our UMAP and we shouldn't fail here. Granted, we've rearranged some of the math in the smoothing function to make ...

Acute myeloid leukemia (AML) is the most common type of acute leukemia in adults and the second most common in children. Despite the introduction of targeted therapies, AML survival rates have shown ...

RAPIDS cuML introduces a faster, scalable UMAP implementation using GPU acceleration, addressing challenges in large dataset processing with new algorithms for improved performance. The latest ...

This week I interviewed Senator Amy Klobuchar, Democrat of Minnesota, about her Preventing Algorithmic Collusion Act. If you don’t know what algorithmic collusion is, it’s time to get educated, ...

Scientists have developed a new method for predicting and assessing the source of black inks using direct analysis in real-time mass spectrometry. By applying dimensionality reduction techniques and ...

I would like to use UMAP as a preprocessing step for density based clustering (DBScan) of a multidimensional data set. Is it possible to utilize a correlation matrix that I have generated for my data ...