883 citations · 2.2k across the 58 of their papers we have counts for
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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…
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-based Scoring Function for Re-ranking Peptide-Spectrum Matches
Samaneh Azari, Bing Xue, Mengjie Zhang +1
De novo peptide sequencing algorithms have been widely used in proteomics to analyse tandem mass spectra (MS/MS) and assign them to peptides, but quality-control methods to evaluat…
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
Bin Wang, Bing Xue, Mengjie Zhang
Deep Convolutional Neural Networks (CNNs) have been widely used in image classification tasks, but the process of designing CNN architectures is very complex, so Neural Architectur…
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification
Bin Wang, Yanan Sun, Bing Xue +1
In recent years, convolutional neural networks (CNNs) have become deeper in order to achieve better classification accuracy in image classification. However, it is difficult to dep…
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks
Bin Wang, Yanan Sun, Bing Xue +1
Image classification is a difficult machine learning task, where Convolutional Neural Networks (CNNs) have been applied for over 20 years in order to solve the problem. In recent y…