101 citations · 380 across the 26 of their papers we have counts for
11 papers · 1 filter
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…
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising
Yuqiao Liu, Yanan Sun, Bing Xue +1
Hyperspectral images (HSIs) are susceptible to various noise factors leading to the loss of information, and the noise restricts the subsequent HSIs object detection and classifica…
A Survey on Evolutionary Neural Architecture Search
Yuqiao Liu, Yanan Sun, Bing Xue +3
Deep Neural Networks (DNNs) have achieved great success in many applications. The architectures of DNNs play a crucial role in their performance, which is usually manually designed…
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
Bin Wang, Bing Xue, Mengjie Zhang
Deep convolutional neural networks have demonstrated promising performance on image classification tasks, but the manual design process becomes more and more complex due to the fas…
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems
Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne +1
Learning classifier systems (LCSs) originated from cognitive-science research but migrated such that LCS became powerful classification techniques. Modern LCSs can be used to extra…
Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
Multitask Learning is a learning paradigm that deals with multiple different tasks in parallel and transfers knowledge among them. XOF, a Learning Classifier System using tree-base…