Andrew Lensen

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Genetic Programming for Explainable Manifold Learning.

Ben Cravens, Andrew Lensen, Paula Maddigan, Bing Xue

CoRR, 2024

Explaining Genetic Programming Trees using Large Language Models.

Paula Maddigan, Andrew Lensen, Bing Xue

CoRR, 2024

Intepretable Local Explanations Through Genetic Programming.

Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Explainable Artificial Intelligence by Genetic Programming: A Survey.

Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., 2023

Differentiable Genetic Programming for High-dimensional Symbolic Regression.

Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv

CoRR, 2023

Feature-based Image Matching for Identifying Individual Kākā.

Fintan O'Sullivan, Kirita-Rose Escott, Rachael C. Shaw, Andrew Lensen

CoRR, 2023

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

Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

A Genetic Programming Encoder for Increasing Autoencoder Interpretability.

Finn Schofield, Luis Slyfield, Andrew Lensen

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

2022

Genetic Programming for Manifold Learning: Preserving Local Topology.

Andrew Lensen, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., 2022

Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand.

Harry Rodger, Andrew Lensen, Marcin Betkier

CoRR, 2022

Using Neural Networks to Automate Monitoring of Fish Stocks.

Michael Stanley, Andrew Lensen, Mengjie Zhang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Speeding up Genetic Programming Based Symbolic Regression Using GPUs.

Rui Zhang, Andrew Lensen, Yanan Sun

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

Large scale image classification using GPU-based genetic programming.

Peng Zeng, Andrew Lensen, 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.

Hayden Andersen, Andrew Lensen, 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.

Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

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

Andrew Lensen, Bing Xue, Mengjie Zhang

IEEE Trans. Cybern., 2021

Mining Feature Relationships in Data.

Andrew Lensen

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

Using Genetic Programming to Find Functional Mappings for UMAP Embeddings.

Finn Schofield, Andrew Lensen

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms.

Hayden Andersen, Andrew Lensen, Bing Xue

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

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

Andrew Lensen, Mengjie Zhang, Bing Xue

Genet. Program. Evolvable Mach., 2020

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

Andrew Lensen, Bing Xue, Mengjie Zhang

Evol. Comput., 2020

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

Andrew Lensen, Bing Xue, Mengjie Zhang

CoRR, 2020

Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming.

Finn Schofield, Andrew Lensen

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Evolutionary Feature Manipulation in Unsupervised Learning.

Andrew Lensen

PhD thesis, 2019

Can Genetic Programming Do Manifold Learning Too?

Andrew Lensen, Bing Xue, Mengjie Zhang

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

2018

Automatically evolving difficult benchmark feature selection datasets with genetic programming.

Andrew Lensen, Bing Xue, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Generating Redundant Features with Unsupervised Multi-tree Genetic Programming.

Andrew Lensen, Bing Xue, Mengjie Zhang

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

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

Damien O'Neill, Andrew Lensen, Bing Xue, Mengjie Zhang

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

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

Andrew Lensen, Bing Xue, Mengjie Zhang

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

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

Andrew Lensen, Bing Xue, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

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

Andrew Lensen, Bing Xue, Mengjie Zhang

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.

Andrew Lensen, Bing Xue, Mengjie Zhang

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

2016

Particle swarm optimisation representations for simultaneous clustering and feature selection.

Andrew Lensen, Bing Xue, Mengjie Zhang

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.

Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue

Proceedings of the Genetic Programming - 19th European Conference, 2016

2015

A hybrid Genetic Programming approach to feature detection and image classification.

Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue

Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Genetic Programming for algae detection in river images.

Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh K. Verma

Proceedings of the IEEE Congress on Evolutionary Computation, 2015