155 citations · 358 across the 4 of their papers we have counts for
4 papers
ConAM: Confidence Attention Module for Convolutional Neural Networks
Yu Xue, Ziming Yuan, Ferrante Neri
The so-called "attention" is an efficient mechanism to improve the performance of convolutional neural networks. It uses contextual information to recalibrate the input to strength…
Multi-objective Feature Selection with Missing Data in Classification
Yu Xue, Yihang Tang, Xin Xu +2
Feature selection (FS) is an important research topic in machine learning. Usually, FS is modelled as a+ bi-objective optimization problem whose objectives are: 1) classification a…
Multi-Strategy Coevolving Aging Particle Optimization
Giovanni Iacca, Fabio Caraffini, Ferrante Neri
We propose Multi-Strategy Coevolving Aging Particles (MS-CAP), a novel population-based algorithm for black-box optimization. In a memetic fashion, MS-CAP combines two components w…
Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration
G. Iacca, F. Neri, E. Mininno +2
Memetic Computing is a subject in computer science which considers complex structures as the combination of simple agents, memes, whose evolutionary interactions lead to intelligen…