The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

Mamba Cross-Modal Information Fusion Self-Distillation Model for Joint Classification of LiDAR and Hyperspectral Data

Abstract: Recent studies have found that compared to single-modal data, the joint classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) multimodal data can use their ...
GitHub

TabPFGen: Synthetic Tabular Data Generation with TabPFN

TabPFGen is a Python library for generating high-quality synthetic tabular data using energy-based modeling and stochastic gradient Langevin dynamics (SGLD). It supports both classification and ...
IEEE

Positive Data Augmentation Based on Manifold Heuristic Optimization for Image Classification

Abstract: Data augmentation is crucial for addressing insufficient training data, especially for augmenting positive samples. However, existing methods mostly rely on neural network-based feedback for ...
MLive

More communities near Ann Arbor pressing pause button on massive data centers

WASHTENAW COUNTY, MI — As communities across Michigan grapple with an influx of proposals for massive “hyperscale” data centers, other communities are reacting with moratoria — temporary pauses on ...