Science News

Machine learning streamlines the complexities of making better proteins

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
IEEE

Federated Learning on Heterogeneous and Long-Tailed Data via Disentangled Representation

Abstract: Federated Learning (FL) is a popular distributed machine learning method that enables the development of a robust global model through decentralized computation and periodic model ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
IEEE

Missing Data Imputation: A Systematic Comparison of Traditional, Machine Learning and Deep Learning Approaches

Abstract: The most important step in data processing is handling missing data. Missing data introduces bias and degrades machine learning's model performance. Traditional imputation techniques, such ...