Andrew Lensen

CoRR, 2024

2023

Explainable Artificial Intelligence by Genetic Programming: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2023

Differentiable Genetic Programming for High-dimensional Symbolic Regression.

[BibT_eX]

[DOI]

CoRR, 2023

Feature-based Image Matching for Identifying Individual Kākā.

[BibT_eX]

[DOI]

CoRR, 2023

Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

A Genetic Programming Encoder for Increasing Autoencoder Interpretability.

[BibT_eX]

[DOI]

Finn Schofield

Luis Slyfield

Proceedings of the Genetic Programming - 26th European Conference, 2023

2022

Genetic Programming for Manifold Learning: Preserving Local Topology.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand.

[BibT_eX]

[DOI]

Harry Rodger

Marcin Betkier

CoRR, 2022

Using Neural Networks to Automate Monitoring of Fish Stocks.

[BibT_eX]

[DOI]

Michael Stanley

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Speeding up Genetic Programming Based Symbolic Regression Using GPUs.

[BibT_eX]

[DOI]

Rui Zhang

Yanan Sun

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Large scale image classification using GPU-based genetic programming.

[BibT_eX]

[DOI]

Peng Zeng

Yanan Sun

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Improving the search of learning classifier systems through interpretable feature clustering.

[BibT_eX]

[DOI]

Hayden Andersen

Will N. Browne

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Mining Feature Relationships in Data.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming - 24th European Conference, 2021

Using Genetic Programming to Find Functional Mappings for UMAP Embeddings.

[BibT_eX]

[DOI]

Finn Schofield

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms.

[BibT_eX]

[DOI]

Hayden Andersen

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Multi-objective genetic programming for manifold learning: balancing quality and dimensionality.

[BibT_eX]

[DOI]

Genet. Program. Evolvable Mach., 2020

Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis.

[BibT_eX]

[DOI]

Evol. Comput., 2020

Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation.

[BibT_eX]

[DOI]

CoRR, 2020

Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming.

[BibT_eX]

[DOI]

Finn Schofield

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Evolutionary Feature Manipulation in Unsupervised Learning.

[BibT_eX]

[DOI]

PhD thesis, 2019

Can Genetic Programming Do Manifold Learning Too?

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming - 22nd European Conference, 2019

2018

Automatically evolving difficult benchmark feature selection datasets with genetic programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Generating Redundant Features with Unsupervised Multi-tree Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming - 21st European Conference, 2018

Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

New Representations in Genetic Programming for Feature Construction in k-Means Clustering.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Improving <i>k</i>-means clustering with genetic programming for feature construction.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016

Particle swarm optimisation representations for simultaneous clustering and feature selection.

[BibT_eX]

[DOI]