Review of Swarm Intelligence-based Feature Selection Methods

7 August 2020

Papers citing "Review of Swarm Intelligence-based Feature Selection Methods"

9 / 9 papers shown

Title
RelChaNet: Neural Network Feature Selection using Relative Change Scores Felix Zimmer 24 0 0 03 Oct 2024
CGS-Mask: Making Time Series Predictions Intuitive for All Feng Lu Wei Li Yifei Sun Cheng Song Yufei Ren Albert Y. Zomaya AI4TS 25 0 0 15 Dec 2023
Faster Learning of Temporal Action Proposal via Sparse Multilevel Boundary Generator Qing-Huang Song Yang Zhou Mengjie Hu Chun Liu 20 4 0 06 Mar 2023
Harnessing the Power of Decision Trees to Detect IoT Malware Marwan Omar 14 2 0 28 Jan 2023
Feature construction using explanations of individual predictions Boštjan Vouk Matej Guid Marko Robnik-Šikonja FAtt 24 10 0 23 Jan 2023
Early Diagnosis of Retinal Blood Vessel Damage via Deep Learning-Powered Collective Intelligence Models Pranjal Bhardwaj P. Gupta Thejineaswar Guhan Kathiravan Srinivasan 11 3 0 17 Oct 2022
Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization Zuyan Chen Adam Francis Shuai Li Bolin Liao Dunhui Xiao 6 74 0 29 Jul 2022
A fast converging particle swarm optimization through targeted, position-mutated, elitism (PSO-TPME) T. Shaqarin B. R. Noack 11 15 0 02 Jul 2022
Presentation a Trust Walker for rating prediction in Recommender System with Biased Random Walk: Effects of H-index Centrality, Similarity in Items and Friends Saman Forouzandeh M. Rostami K. Berahmand 4 44 0 10 Sep 2020