Andrew Lensen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 39

Top Topics

Symbolic Regression

Genetic Programming

Laplacian Eigenmaps

Feature Selection

Top Venues

Publications

Ben Cravens, Andrew Lensen, Paula Maddigan, Bing Xue
Genetic Programming for Explainable Manifold Learning. CoRR (2024)
Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
Intepretable Local Explanations Through Genetic Programming. GECCO Companion (2024)
Paula Maddigan, Andrew Lensen, Bing Xue
Explaining Genetic Programming Trees using Large Language Models. CoRR (2024)
Fintan O'Sullivan, Kirita-Rose Escott, Rachael Shaw, Andrew Lensen
Feature-based Image Matching for Identifying Individual Kākā. CoRR (2023)
Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv
Differentiable Genetic Programming for High-dimensional Symbolic Regression. CoRR (2023)
Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. GECCO (2023)
Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang
Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. 27 (3) (2023)
Finn Schofield, Luis Slyfield, Andrew Lensen
A Genetic Programming Encoder for Increasing Autoencoder Interpretability. EuroGP (2023)
Peng Zeng, Andrew Lensen, Yanan Sun
Large scale image classification using GPU-based genetic programming. GECCO Companion (2022)
Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution. CEC (2022)
Rui Zhang, Andrew Lensen, Yanan Sun
Speeding up Genetic Programming Based Symbolic Regression Using GPUs. PRICAI (1) (2022)
Harry Rodger, Andrew Lensen, Marcin Betkier
Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand. CoRR (2022)
Andrew Lensen, Bing Xue, Mengjie Zhang
Genetic Programming for Manifold Learning: Preserving Local Topology. IEEE Trans. Evol. Comput. 26 (4) (2022)
Hayden Andersen, Andrew Lensen, Will N. Browne
Improving the search of learning classifier systems through interpretable feature clustering. GECCO Companion (2022)
Michael Stanley, Andrew Lensen, Mengjie Zhang
Using Neural Networks to Automate Monitoring of Fish Stocks. SSCI (2022)
Hayden Andersen, Andrew Lensen, Bing Xue
Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. CEC (2021)
Andrew Lensen, Bing Xue, Mengjie Zhang
Genetic Programming for Manifold Learning: Preserving Local Topology. CoRR (2021)
Andrew Lensen, Bing Xue, Mengjie Zhang
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization. IEEE Trans. Cybern. 51 (11) (2021)
Finn Schofield, Andrew Lensen
Using Genetic Programming to Find Functional Mappings for UMAP Embeddings. CEC (2021)
Andrew Lensen
Mining Feature Relationships in Data. EuroGP (2021)
Andrew Lensen
Mining Feature Relationships in Data. CoRR (2021)
Andrew Lensen, Bing Xue, Mengjie Zhang
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. Evol. Comput. 28 (4) (2020)
Finn Schofield, Andrew Lensen
Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming. CEC (2020)
Andrew Lensen, Mengjie Zhang, Bing Xue
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality. CoRR (2020)
Andrew Lensen, Mengjie Zhang, Bing Xue
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality. Genet. Program. Evolvable Mach. 21 (3) (2020)
Andrew Lensen, Bing Xue, Mengjie Zhang
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation. CoRR (2020)
Andrew Lensen, Bing Xue, Mengjie Zhang
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. CoRR (2019)
Andrew Lensen, Bing Xue, Mengjie Zhang
Can Genetic Programming Do Manifold Learning Too? EuroGP (2019)
Andrew Lensen, Bing Xue, Mengjie Zhang
Can Genetic Programming Do Manifold Learning Too? CoRR (2019)
Andrew Lensen, Bing Xue, Mengjie Zhang
Generating Redundant Features with Unsupervised Multi-tree Genetic Programming. EuroGP (2018)
Andrew Lensen, Bing Xue, Mengjie Zhang
Automatically evolving difficult benchmark feature selection datasets with genetic programming. GECCO (2018)
Damien O'Neill, Andrew Lensen, Bing Xue, Mengjie Zhang
Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering. CEC (2018)
Andrew Lensen, Bing Xue, Mengjie Zhang
Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming. CoRR (2018)
Andrew Lensen, Bing Xue, Mengjie Zhang
New Representations in Genetic Programming for Feature Construction in k-Means Clustering. SEAL (2017)
Andrew Lensen, Bing Xue, Mengjie Zhang
Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering. EvoApplications (1) (2017)
Andrew Lensen, Bing Xue, Mengjie Zhang
-means clustering with genetic programming for feature construction. GECCO (Companion) (2017)
Andrew Lensen, Bing Xue, Mengjie Zhang
GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach. GECCO (2017)
Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue
Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data. EuroGP (2016)
Andrew Lensen, Bing Xue, Mengjie Zhang
Particle swarm optimisation representations for simultaneous clustering and feature selection. SSCI (2016)
Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue
A hybrid Genetic Programming approach to feature detection and image classification. IVCNZ (2015)
Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh K. Verma
Genetic Programming for algae detection in river images. CEC (2015)