Tech Xplore

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
IEEE

Efficient ECG Anomaly Detection Using Autoencoder-Based Dimensionality Reduction: A Comparative Study of Machine Learning Algorithms

Abstract: Electrocardiograms (ECGs) are widely used to diagnose various cardiovascular conditions. While deep learning models have shown high accuracy in ECG classification, challenges such as high ...
IEEE

Integrating Dimensionality Reduction and Quantum Support Vector Machine (QSVM) for Cancer Diagnosis

Abstract: The analysis of data and the development of Quantum Support Vector Machine (QSVM) models for disease classification have rapidly become crucial, commanding significant attention from the ...
GitHub

Multi-dimensional gene set scoring and visualization for single-cell transcriptomics.

Color dimensionality reduction plots (UMAP, PCA, etc.) using a multi-dimensional color space derived from gene set scores — so you can visualize the activity of multiple gene programs simultaneously ...
GitHub

Latents: A Python Library for Latent Variable Modeling

Latents is in an early stage of development and is not yet stable. The API is subject to frequent change. Latents is a Python library for latent variable modeling and dimensionality reduction, with an ...