Search Results for author:
Found 3 papers, 0 papers with code
ConAM: Confidence Attention Module for Convolutional Neural Networks
It uses contextual information to recalibrate the input to strengthen the propagation of informative features.
Multi-objective Feature Selection with Missing Data in Classification
Databases with missing data are likely to be unreliable.
Multi-Strategy Coevolving Aging Particle Optimization
We propose Multi-Strategy Coevolving Aging Particles (MS-CAP), a novel population-based algorithm for black-box optimization.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
