Andrew Lensen

Orcid: 0000-0003-1269-4751

According to our database1, Andrew Lensen authored at least 36 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Genetic Programming for Explainable Manifold Learning.
CoRR, 2024

Explaining Genetic Programming Trees using Large Language Models.
CoRR, 2024

Intepretable Local Explanations Through Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Explainable Artificial Intelligence by Genetic Programming: A Survey.
IEEE Trans. Evol. Comput., 2023

Differentiable Genetic Programming for High-dimensional Symbolic Regression.
CoRR, 2023

Feature-based Image Matching for Identifying Individual Kākā.
CoRR, 2023

Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

A Genetic Programming Encoder for Increasing Autoencoder Interpretability.
Proceedings of the Genetic Programming - 26th European Conference, 2023

2022
Genetic Programming for Manifold Learning: Preserving Local Topology.
IEEE Trans. Evol. Comput., 2022

Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand.
CoRR, 2022

Using Neural Networks to Automate Monitoring of Fish Stocks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Speeding up Genetic Programming Based Symbolic Regression Using GPUs.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Large scale image classification using GPU-based genetic programming.
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.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization.
IEEE Trans. Cybern., 2021

Mining Feature Relationships in Data.
Proceedings of the Genetic Programming - 24th European Conference, 2021

Using Genetic Programming to Find Functional Mappings for UMAP Embeddings.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality.
Genet. Program. Evolvable Mach., 2020

Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis.
Evol. Comput., 2020

Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation.
CoRR, 2020

Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Evolutionary Feature Manipulation in Unsupervised Learning.
PhD thesis, 2019

Can Genetic Programming Do Manifold Learning Too?
Proceedings of the Genetic Programming - 22nd European Conference, 2019

2018
Automatically evolving difficult benchmark feature selection datasets with genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Generating Redundant Features with Unsupervised Multi-tree Genetic Programming.
Proceedings of the Genetic Programming - 21st European Conference, 2018

Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
New Representations in Genetic Programming for Feature Construction in k-Means Clustering.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Improving <i>k</i>-means clustering with genetic programming for feature construction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach.
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.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016
Particle swarm optimisation representations for simultaneous clustering and feature selection.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data.
Proceedings of the Genetic Programming - 19th European Conference, 2016

2015
A hybrid Genetic Programming approach to feature detection and image classification.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Genetic Programming for algae detection in river images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015


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