This library is one of six interconnected libraries supporting the machine learning for trading workflow described in Machine Learning for Trading: Together they cover data infrastructure, feature ...
Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...
Background Antimicrobial resistance (AMR) is an escalating global health crisis being worsened by climate change. Studies of ...
The Romanian subsidiary of the Spanish GMV Group has fully coordinated the first European Space Agency (ESA) mission led by a ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Biopharmaceutical developers should introduce risk-based, phase-appropriate characterization strategies for quality control ...
Researchers have for the first time virtually unwrapped and read an entire sealed Herculaneum papyrus scroll, carbonized ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...