IEEE

CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection

Complex diseases arise from the intricate interactions between multiple genetic factors and environmental influences. Genome-Wide Association Studies (GWAS) are essential for uncovering the genetic ...
IEEE

CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection

Abstract: Complex diseases arise from the intricate interactions between multiple genetic factors and environmental influences. Genome-Wide Association Studies (GWAS) are essential for uncovering the ...
Frontiers

A dynamic multitask evolutionary algorithm for high-dimensional feature selection based on multi-indicator task construction and elite competition learning

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
The New York Times

The New AirPods Can Translate Languages in Your Ears. This Is Profound.

The technology is one of the strongest examples yet of how artificial intelligence can be used in a seamless, practical way to improve people’s lives. By Brian X. Chen Brian X. Chen is The Times’s ...
The Verge

Microsoft favors Anthropic over OpenAI for Visual Studio Code

Visual Studio Code now has a new auto AI model selector that favors Claude 4 over GPT-5. Visual Studio Code now has a new auto AI model selector that favors Claude 4 over GPT-5. is a senior editor and ...
MetalSucks

Signs of the Swarm Drop New Video for “Natural Selection”

Today marks the release of Pittsburgh deathcore outfit Signs of the Swarm‘s latest album To Rid Myself of Truth and to mark the occasion, they’ve released a music video for the track “Natural ...
Scientific Research Publishing

Kiranyaz, S., Ince, T. and Gabbouj, M. (2014) Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition. Springer.

ABSTRACT: Accurately predicting individual responses to antidepressant treatment is a critical step toward achieving personalized psychiatry and minimizing the ...
C&EN

Feature Selection and Hyperparameter Optimization for Machine Learned Classification of 3D Single-Particle Tracking

Department of Chemistry, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States Department of Chemistry, Rice University, Houston, Texas 77005, United States Department of ...