55 citations · 104 across the 9 of their papers we have counts for
12 papers
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…
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…
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation
Andrew Lensen, Bing Xue, Mengjie Zhang
Data visualisation is a key tool in data mining for understanding big datasets. Many visualisation methods have been proposed, including the well-regarded state-of-the-art method t…
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality
Andrew Lensen, Mengjie Zhang, Bing Xue
Manifold learning techniques have become increasingly valuable as data continues to grow in size. By discovering a lower-dimensional representation (embedding) of the structure of…
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis
Andrew Lensen, Bing Xue, Mengjie Zhang
Clustering is a difficult and widely-studied data mining task, with many varieties of clustering algorithms proposed in the literature. Nearly all algorithms use a similarity measu…
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification
Benjamin Patrick Evans, Harith Al-Sahaf, Bing Xue +1
Image classification is an essential task in computer vision, which aims to categorise a set of images into different groups based on some visual criteria. Existing methods, such a…