eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Frontiers

Improving Machine Learning for Water Resources Through Scientific Knowledge Integration

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
CU Independent

The Role of AI and Machine Learning in People Search Accuracy

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...
IEEE

Balancing Feature Selection, Model Accuracy, and Transparency in Maritime Machine Learning: A Trade-Off Analysis

Abstract: Feature selection (FS) is a critical step in machine learning (ML) applications, particularly in the maritime transportation domain, where large-scale data from sensors, weather conditions, ...
IEEE

A Critical Analysis on Evolution of Feature Selection Strategies in Machine Learning Models

Abstract: Data accomplishes astonishing sensation; however, the data's massiveness and distinctive features are obstacles to acquiring promising results. Feature selection (FS) algorithms can develop ...