101 citations · 309 across the 18 of their papers we have counts for
30 papers
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification
Ying Bi, Bing Xue, Mengjie Zhang
Data-efficient image classification is a challenging task that aims to solve image classification using small training data. Neural network-based deep learning methods are effectiv…
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends
Ying Bi, Bing Xue, Pablo Mesejo +2
Computer vision (CV) is a big and important field in artificial intelligence covering a wide range of applications. Image analysis is a major task in CV aiming to extract, analyse…
Deep Learning Model with GA based Feature Selection and Context Integration
Ranju Mandal, Basim Azam, Brijesh Verma +1
Deep learning models have been very successful in computer vision and image processing applications. Since its inception, Many top-performing methods for image segmentation are bas…
Genetic Programming for Manifold Learning: Preserving Local Topology
Andrew Lensen, Bing Xue, Mengjie Zhang
Manifold learning methods are an invaluable tool in today's world of increasingly huge datasets. Manifold learning algorithms can discover a much lower-dimensional representation (…
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search
Xiangning Xie, Yuqiao Liu, Yanan Sun +3
Neural architecture search (NAS), which automatically designs the architectures of deep neural networks, has achieved breakthrough success over many applications in the past few ye…
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning
Ying Bi, Bing Xue, Mengjie Zhang
Using evolutionary computation algorithms to solve multiple tasks with knowledge sharing is a promising approach. Image feature learning can be considered as a multitask problem be…