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08/18/2023
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation
The aquaculture sector in New Zealand is experiencing rapid expansion, w...
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07/06/2023
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
Extracorporeal membrane oxygenation (ECMO) is an essential life-supporti...
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01/30/2023
Online Loss Function Learning
Loss function learning is a new meta-learning paradigm that aims to auto...
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12/07/2022
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks
Convolutional neural networks (CNNs) have constantly achieved better per...
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11/28/2022
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations
Deep convolutional neural networks have proven their effectiveness, and ...
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10/10/2022
Self-explaining Hierarchical Model for Intraoperative Time Series
Major postoperative complications are devastating to surgical patients. ...
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09/19/2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
In this paper, we develop upon the emerging topic of loss function learn...
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08/23/2022
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues
Over recent years, there has been a rapid development of deep learning (...
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08/23/2021
Genetic Programming for Manifold Learning: Preserving Local Topology
Manifold learning methods are an invaluable tool in today's world of inc...
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08/09/2021
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search
Neural architecture search (NAS), which automatically designs the archit...
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12/17/2020
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning
Using evolutionary computation algorithms to solve multiple tasks with k...
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12/03/2020
Evolving Character-level Convolutional Neural Networks for Text Classification
Character-level convolutional neural networks (char-CNN) require no know...
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08/25/2020
A Survey on Evolutionary Neural Architecture Search
Deep Neural Networks (DNNs) have achieved great success in many applicat...
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08/15/2020
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising
Hyperspectral images (HSIs) are susceptible to various noise factors lea...
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07/03/2020
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
Deep convolutional neural networks have demonstrated promising performan...
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01/28/2020
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML
A common claim of evolutionary computation methods is that they can achi...
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01/27/2020
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation
Data visualisation is a key tool in data mining for understanding big da...
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01/23/2020
Improving generalisation of AutoML systems with dynamic fitness evaluations
A common problem machine learning developers are faced with is overfitti...
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01/05/2020
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality
Manifold learning techniques have become increasingly valuable as data c...
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11/25/2019
KerGM: Kernelized Graph Matching
Graph matching plays a central role in such fields as computer vision, p...
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10/22/2019
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis
Clustering is a difficult and widely-studied data mining task, with many...
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09/28/2019
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification
Image classification is an essential task in computer vision, which aims...
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08/12/2019
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
De novo peptide sequencing algorithms have been widely used in proteomic...
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07/29/2019
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
Deep Convolutional Neural Networks (CNNs) have been widely used in image...
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03/21/2019
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification
In recent years, convolutional neural networks (CNNs) have become deeper...
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03/10/2019
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks
Image classification is a difficult machine learning task, where Convolu...
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02/08/2019
Can Genetic Programming Do Manifold Learning Too?
Exploratory data analysis is a fundamental aspect of knowledge discovery...
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02/03/2019
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm
Proteomics is the large-scale analysis of the proteins. The common metho...
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10/28/2018
Automatically Evolving CNN Architectures Based on Blocks
The performance of Convolutional Neural Networks (CNNs) highly relies on...
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08/20/2018
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification
Convolutional Neural Networks (CNNs) have demonstrated their superiority...
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08/20/2018
A Hybrid DE Approach to Designing CNN for Image Classification
Convolutional Neural Networks (CNNs) have demonstrated their superiority...
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08/11/2018
Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification
Convolutional Neural Networks (CNNs) have gained a remarkable success on...
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03/17/2018
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification
Convolutional neural networks (CNNs) are one of the most effective deep ...
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02/02/2018
Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming
Recently, feature selection has become an increasingly important area of...
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12/13/2017
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification
Convolutional auto-encoders have shown their remarkable performance in s...
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10/30/2017
