British Journal of Ophthalmology

DeepAdapter: a generalisable algorithm integrating self-supervised learning and unsupervised domain adaptation for robust retinopathy of prematurity screening

Aims To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and unsupervised domain adaptation (UDA) to enhance model generalisability for ...
Digital Trends

You can now tell Instagram’s algorithm exactly what you want to see on your main feed

Your Algorithm shows you the topics the system thinks you care about most and lets you act on them. You can see the full list, add topics you want more of, and ditch the ones you do not. Right now, ...
Frontiers

Evolutionary algorithm-optimized feature fusion for accurate classification of shredded tobacco using multi-sensor data

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
Cancer Research

Abstract 5020: Quantum algorithms improve feature selection for multimodal cancer classification

Cancer Res (2025) 85 (8_Supplement_1): 5020. Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly ...
IEEE

A Surrogate-Assisted Multi-Phase Ensemble Feature Selection Algorithm With Particle Swarm Optimization in Imbalanced Data

Abstract: Feature selection based on evolutionary algorithm (EA) is an effective dimension reduction technology. However, existing EAs still constrained by high computational cost and easy-to-local ...
IEEE

Two-Stage Hybrid Feature Selection: Integrating ACO Algorithms With a Statistical Ensemble Technique for EV Demand Prediction

Abstract: This paper presents a novel hybrid algorithm combining Ant Colony Optimization (ACO) and multi-model ensemble feature selection techniques to enhance the accuracy of Support Vector ...
Scientific Research Publishing

Tan, P., Wang, X. and Wang, Y. (2020) Dimensionality Reduction in Evolutionary Algorithms-Based Feature Selection for Motor Imagery Brain-Computer Interface. Swarm and ...

ABSTRACT: This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis.
C&EN

Automatic Feature Selection for Atom-Centered Neural Network Potentials Using a Gradient Boosting Decision Algorithm

Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, People’s Republic of China Department of Chemistry, The University of Texas at Austin, ...