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Dr Andrew Lensen

Publications

2026

Differentiable Genetic Programming for High-dimensional Symbolic Regression

Xiaotian Song, Peng Zeng, Andrew Lensen, Hengzhe Zhang, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv
IEEE Transactions on Pattern Analysis and Machine Intelligence, September 2026
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BibTeX
@article{song2026differentiable,
	author = {Song, Xiaotian and Zeng, Peng and Lensen, Andrew and Zhang, Hengzhe and Ou, Yuwei and Sun, Yanan and Zhang, Mengjie and Lv, Jiancheng},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	doi = {10.1109/TPAMI.2026.3734437},
	year = {2026},
	month = {sep 16},
	pages = {1--18},
	title = {Differentiable {Genetic} {Programming} for {High}-dimensional {Symbolic} {Regression}},
}

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DOICited by 14

A machine learning framework for mapping shifts in species' abundance from long-term monitoring data

Journal of Ecology, June 2026
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BibTeX
@article{shabanov2026machine,
	author = {Shabanov, Ilya and Lensen, Andrew and Tonkin, Jonathan and Deslippe, Julie R.},
	journal = {Journal of Ecology},
	doi = {10.1111/1365-2745.70344},
	number = {5},
	year = {2026},
	month = {6},
	pages = {e70344},
	title = {A machine learning framework for mapping shifts in species' abundance from long-term monitoring data},
	volume = {114},
}

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DOI

Single Microphone Own Voice Detection based on Simulated Transfer Functions for Hearing Aids

Mathuranathan Mayuravaani, W. Bastiaan Kleijn, Andrew Lensen, Charlotte Sørensen
arXiv, March 2026
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BibTeX
@article{mayuravaani2026single,
	author = {Mayuravaani, Mathuranathan and Kleijn, W. Bastiaan and Lensen, Andrew and S\o{}rensen, Charlotte},
	journal = {arXiv},
	doi = {10.48550/arXiv.2603.02724},
	year = {2026},
	month = {mar 3},
	title = {Single {Microphone} {Own} {Voice} {Detection} based on {Simulated} {Transfer} {Functions} for {Hearing} {Aids}},
}

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DOICited by 1

Interpretable Wildlife Classification by Coupling Genetics, Scoring Systems, and Computer Vision

SSRN, February 2026
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BibTeX
@article{gonzalez2026interpretable,
	author = {Gonzalez, Sara and Lensen, Andrew and Lavretsky, Philip},
	journal = {SSRN},
	doi = {10.2139/ssrn.6253711},
	year = {2026},
	month = {feb 17},
	title = {Interpretable {Wildlife} {Classification} by {Coupling} {Genetics}, {Scoring} {Systems}, and {Computer} {Vision}},
}

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DOI

Genetic Programming for Explainable Manifold Learning

IEEE Transactions on Emerging Topics in Computational Intelligence, February 2026
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BibTeX
@article{cravens2025genetic,
	author = {Cravens, Ben and Lensen, Andrew and Maddigan, Paula and Xue, Bing},
	journal = {IEEE Transactions on Emerging Topics in Computational Intelligence},
	doi = {10.1109/TETCI.2025.3561666},
	number = {1},
	year = {2026},
	month = {2},
	pages = {676--688},
	title = {Genetic {Programming} for {Explainable} {Manifold} {Learning}},
	volume = {10},
}

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DOICited by 7

SALMA: A Machine Learning Tool for Precise Leaf Morphology Measurements

Ecological Informatics, February 2026
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BibTeX
@article{shabanov2026salma,
	author = {Shabanov, Ilya and Deslippe, Julie R. and Lensen, Andrew},
	journal = {Ecological Informatics},
	doi = {10.1016/j.ecoinf.2025.103592},
	year = {2026},
	month = {2},
	pages = {103592},
	publisher = {Elsevier},
	title = {SALMA: A {Machine} {Learning} {Tool} for {Precise} {Leaf} {Morphology} {Measurements}},
	volume = {93},
}

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DOI

2025

Climate-Driven Forest Reassembly Follows Divergent Functional Pathways in Cold- and Warm-Adapted Communities

bioRxiv, November 2025
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BibTeX
@article{shabanov2025climate,
	author = {Shabanov, Ilya and Tonkin, Jonathan and Lensen, Andrew and Deslippe, Julie},
	journal = {bioRxiv},
	doi = {10.1101/2025.11.18.689113},
	year = {2025},
	month = {nov 18},
	title = {Climate-{Driven} {Forest} {Reassembly} {Follows} {Divergent} {Functional} {Pathways} in {Cold}- and {Warm}-{Adapted} {Communities}},
	url = {https://www.biorxiv.org/content/early/2025/11/18/2025.11.18.689113},
	howpublished = {https://www.biorxiv.org/content/early/2025/11/18/2025.11.18.689113},
}

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DOI

Re-Identifying Kākā with AI-Automated Video Key Frame Extraction

arXiv, October 2025
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BibTeX
@article{maddigan2025reidentification,
	author = {Maddigan, Paula and Lensen, Andrew and Shaw, Rachael C.},
	journal = {arXiv},
	doi = {10.48550/arXiv.2510.08775},
	year = {2025},
	month = {oct 14},
	title = {Re-{Identifying} {K}{\= a}k{\= a} with {AI}-{Automated} {Video} {Key} {Frame} {Extraction}},
}

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DOI

2024

Re-Identification of Individual Kākā: An Explainable DINO-Based Model

Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ), December 2024
PDF
BibTeX
@inproceedings{maddigan2024reidentification,
	author = {Maddigan, Paula and Ehrhardt, Oskar and Lensen, Andrew and Shaw, Rachael C.},
	booktitle = {Proceedings of the {International} {Conference} on {Image} and {Vision} {Computing} {New} {Zealand} ({IVCNZ})},
	doi = {10.1109/IVCNZ64857.2024.10794473},
	year = {2024},
	month = {dec 4},
	pages = {1--6},
	organization = {IEEE},
	title = {Re-{Identification} of {Individual} {K}{\= a}k{\= a}: An {Explainable} {DINO}-{Based} {Model}},
}

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DOICited by 7

Interpretable Local Explanations Through Genetic Programming

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, July 2024
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BibTeX
@inproceedings{andersen2024interpretable,
	author = {Andersen, Hayden and Lensen, Andrew and Browne, Will N. and Mei, Yi},
	booktitle = {Proceedings of the {Genetic} and {Evolutionary} {Computation} {Conference} ({GECCO}) {Companion}},
	doi = {10.1145/3638530.3654370},
	year = {2024},
	month = {jul 14},
	pages = {247--250},
	organization = {ACM},
	title = {Interpretable {Local} {Explanations} {Through} {Genetic} {Programming}},
}

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DOI

Explaining Genetic Programming Trees using Large Language Models

Paula Maddigan, Andrew Lensen, Bing Xue
arXiv, March 2024
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BibTeX
@article{maddigan2024explaining,
	author = {Maddigan, Paula and Lensen, Andrew and Xue, Bing},
	journal = {arXiv},
	doi = {10.48550/arXiv.2403.03397},
	year = {2024},
	month = {mar 6},
	title = {Explaining {Genetic} {Programming} {Trees} using {Large} {Language} {Models}},
}

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DOICited by 16

2023

Explainable Artificial Intelligence by Genetic Programming: A Survey

IEEE Transactions on Evolutionary Computation, November 2023
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BibTeX
@article{mei2022explainable,
	author = {Mei, Yi and Chen, Qi and Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	journal = {IEEE Transactions on Evolutionary Computation},
	doi = {10.1109/TEVC.2022.3225509},
	number = {3},
	year = {2023},
	month = {nov 25},
	pages = {621--641},
	publisher = {IEEE},
	title = {Explainable {Artificial} {Intelligence} by {Genetic} {Programming}: A {Survey}},
	volume = {27},
}

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DOICited by 253

Explainable AI–building trust through understanding

Matt Lythe, Gabriella Mazorra Cos, Maria Mingallon, Andrew Lensen, Christopher Galloway, David Knox, Sarah Auvaa, Kaushalya Kumarasinghe
AI Forum New Zealand, November 2023
PDF
BibTeX
@article{lythe2023explainable,
	author = {Lythe, Matt and de Cos, Gabriella Mazorra and Mingallon, Maria and Lensen, Andrew and Galloway, Christopher and Knox, David and Auvaa, Sarah and Kumarasinghe, Kaushalya},
	year = {2023},
	month = {11},
	publisher = {AI Forum New Zealand},
	title = {Explainable {AI}--building trust through understanding},
}

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Cited by 4

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

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), July 2023
PDF
BibTeX
@inproceedings{andersen2023producing,
	author = {Andersen, Hayden and Lensen, Andrew and Browne, Will N. and Mei, Yi},
	booktitle = {Proceedings of the {Genetic} and {Evolutionary} {Computation} {Conference} ({GECCO})},
	doi = {10.1145/3583131.3590444},
	year = {2023},
	month = {jul 15},
	pages = {393--401},
	organization = {ACM},
	title = {Producing {Diverse} {Rashomon} {Sets} of {Counterfactual} {Explanations} with {Niching} {Particle} {Swarm} {Optimization} {Algorithms}},
}

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DOICited by 9

Differentiable Genetic Programming for High-dimensional Symbolic Regression

Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv
arXiv, April 2023
PDF
BibTeX
@article{zeng2023differentiable,
	author = {Zeng, Peng and Song, Xiaotian and Lensen, Andrew and Ou, Yuwei and Sun, Yanan and Zhang, Mengjie and Lv, Jiancheng},
	journal = {arXiv},
	doi = {10.48550/arXiv.2304.08915},
	year = {2023},
	month = {apr 18},
	title = {Differentiable {Genetic} {Programming} for {High}-dimensional {Symbolic} {Regression}},
}

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DOICited by 14

A Genetic Programming Encoder for Increasing Autoencoder Interpretability

Proceedings of the European Conference on Genetic Programming (EuroGP), April 2023
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BibTeX
@inproceedings{schofield2023genetic,
	author = {Schofield, Finn and Slyfield, Luis and Lensen, Andrew},
	series = {Lecture {Notes} in {Computer} {Science}},
	booktitle = {Proceedings of the {European} {Conference} on {Genetic} {Programming} ({EuroGP})},
	doi = {10.1007/978-3-031-29573-7_2},
	year = {2023},
	month = {apr 12},
	pages = {19--35},
	organization = {Springer},
	title = {A {Genetic} {Programming} {Encoder} for {Increasing} {Autoencoder} {Interpretability}},
	volume = {13986},
}

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DOICited by 5

Feature-based Image Matching for Identifying Individual Kākā

arXiv, January 2023
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BibTeX
@article{osullivan2023feature,
	author = {O'Sullivan, Fintan and Escott, Kirita-Rose and Shaw, Rachael C. and Lensen, Andrew},
	journal = {arXiv},
	doi = {10.48550/arXiv.2301.06678},
	year = {2023},
	month = {jan 17},
	title = {Feature-based {Image} {Matching} for {Identifying} {Individual} {K}{\= a}k{\= a}},
}

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DOICited by 1

2022

Using Neural Networks to Automate Monitoring of Fish Stocks

Proceedings of the Symposium Series on Computational Intelligence (SSCI), December 2022
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BibTeX
@inproceedings{stanley2022using,
	author = {Stanley, Michael and Lensen, Andrew and Zhang, Mengjie},
	booktitle = {Proceedings of the {Symposium} {Series} on {Computational} {Intelligence} ({SSCI})},
	doi = {10.1109/SSCI51031.2022.10022081},
	year = {2022},
	month = {dec 4},
	pages = {1--6},
	organization = {IEEE},
	title = {Using {Neural} {Networks} to {Automate} {Monitoring} of {Fish} {Stocks} },
}

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DOICited by 2

Speeding up Genetic Programming Based Symbolic Regression Using GPUs

Rui Zhang, Andrew Lensen, Yanan Sun
Proceedings of the Pacific Rim International Conference on Artificial Intelligence (PRICAI), November 2022
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BibTeX
@inproceedings{zhang2022speeding,
	author = {Zhang, Rui and Lensen, Andrew and Sun, Yanan},
	booktitle = {Proceedings of the {Pacific} {Rim} {International} {Conference} on {Artificial} {Intelligence} ({PRICAI})},
	doi = {10.1007/978-3-031-20862-1_38},
	year = {2022},
	month = {nov 10},
	pages = {1--14},
	organization = {IEEE},
	title = {Speeding up {Genetic} {Programming} {Based} {Symbolic} {Regression} {Using} {GPUs}},
}

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DOICited by 13

Genetic Programming for Manifold Learning: Preserving Local Topology

Andrew Lensen, Bing Xue, Mengjie Zhang
IEEE Transactions on Evolutionary Computation, August 2022
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BibTeX
@article{lensen2021genetic,
	author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	journal = {IEEE Transactions on Evolutionary Computation},
	doi = {10.1109/TEVC.2021.3106672},
	number = {4},
	year = {2022},
	month = {aug 23},
	pages = {661--675},
	publisher = {IEEE},
	title = {Genetic {Programming} for {Manifold} {Learning}: Preserving {Local} {Topology}},
	volume = {26},
}

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DOICited by 22

Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand

Journal of the Royal Society of New Zealand, August 2022
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BibTeX
@article{rodger2022explainable,
	author = {Rodger, Harry and Lensen, Andrew and Betkier, Marcin},
	journal = {Journal of the Royal Society of New Zealand},
	doi = {10.1080/03036758.2022.2114506},
	year = {2022},
	month = {aug 15},
	pages = {1--15},
	publisher = {Taylor \& Francis},
	title = {Explainable {Artificial} {Intelligence} for {Assault} {Sentence} {Prediction} in {New} {Zealand}},
}

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DOICited by 18

Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution

Proceedings of the IEEE Congress on Evolutionary Computation (CEC), July 2022
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BibTeX
@inproceedings{andersen2022evolving,
	author = {Andersen, Hayden and Lensen, Andrew and Browne, Will N. and Mei, Yi},
	booktitle = {Proceedings of the {IEEE} {Congress} on {Evolutionary} {Computation} ({CEC})},
	doi = {10.1109/CEC55065.2022.9870283},
	year = {2022},
	month = {jul 18},
	pages = {1--8},
	organization = {IEEE},
	title = {Evolving {Counterfactual} {Explanations} with {Particle} {Swarm} {Optimization} and {Differential} {Evolution}},
}

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DOICited by 5

Large Scale Image Classification Using GPU-based Genetic Programming

Peng Zeng, Andrew Lensen, Yanan Sun
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, July 2022
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BibTeX
@inproceedings{zeng2022large,
	author = {Zeng, Peng and Lensen, Andrew and Sun, Yanan},
	booktitle = {Proceedings of the {Genetic} and {Evolutionary} {Computation} {Conference} ({GECCO}) {Companion}},
	doi = {10.1145/3520304.3528892},
	year = {2022},
	month = {jul 9},
	pages = {619--622},
	organization = {ACM},
	title = {Large {Scale} {Image} {Classification} {Using} {GPU}-based {Genetic} {Programming}},
}

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DOICited by 4

Improving the Search of Learning Classifier Systems Through Interpretable Feature Clustering

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, July 2022
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BibTeX
@inproceedings{andersen2022improving,
	author = {Andersen, Hayden and Lensen, Andrew and Browne, Will N.},
	booktitle = {Proceedings of the {Genetic} and {Evolutionary} {Computation} {Conference} ({GECCO}) {Companion}},
	doi = {10.1145/3520304.3534027},
	year = {2022},
	month = {jul 9},
	pages = {1752--1756},
	organization = {ACM},
	title = {Improving the {Search} of {Learning} {Classifier} {Systems} {Through} {Interpretable} {Feature} {Clustering}},
}

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DOICited by 8

2021

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

Andrew Lensen, Bing Xue, Mengjie Zhang
IEEE Transactions on Cybernetics, November 2021
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BibTeX
@article{lensen2020genetic,
	author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	journal = {IEEE Transactions on Cybernetics},
	doi = {10.1109/TCYB.2020.2970198},
	number = {11},
	year = {2021},
	month = {nov 9},
	pages = {5468--5482},
	publisher = {IEEE},
	title = {Genetic {Programming} for {Evolving} a {Front} of {Interpretable} {Models} for {Data} {Visualization}},
	volume = {51},
}

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DOICited by 66

Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms

Hayden Andersen, Andrew Lensen, Bing Xue
Proceedings of the IEEE Congress on Evolutionary Computation (CEC), June 2021
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BibTeX
@inproceedings{andersen2021genetic,
	author = {Andersen, Hayden and Lensen, Andrew and Xue, Bing},
	booktitle = {Proceedings of the {IEEE} {Congress} on {Evolutionary} {Computation} ({CEC})},
	doi = {10.1109/CEC45853.2021.9504855},
	year = {2021},
	month = {jun 28},
	pages = {688--695},
	organization = {IEEE},
	title = {Genetic {Programming} for {Evolving} {Similarity} {Functions} {Tailored} to {Clustering} {Algorithms}},
}

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DOICited by 3

Using Genetic Programming to Find Functional Mappings for UMAP Embeddings

Finn Schofield, Andrew Lensen
Proceedings of the IEEE Congress on Evolutionary Computation (CEC), June 2021
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BibTeX
@inproceedings{schofield2021using,
	author = {Schofield, Finn and Lensen, Andrew},
	booktitle = {Proceedings of the {IEEE} {Congress} on {Evolutionary} {Computation} ({CEC})},
	doi = {10.1109/CEC45853.2021.9504848},
	year = {2021},
	month = {jun 28},
	pages = {704--711},
	organization = {IEEE},
	title = {Using {Genetic} {Programming} to {Find} {Functional} {Mappings} for {UMAP} {Embeddings}},
}

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DOICited by 15

Mining Feature Relationships in Data

Andrew Lensen
Proceedings of the European Conference on Genetic Programming (EuroGP), April 2021
PDF
BibTeX
@inproceedings{lensen2021mining,
	author = {Lensen, Andrew},
	series = {Lecture {Notes} in {Computer} {Science}},
	booktitle = {Proceedings of the {European} {Conference} on {Genetic} {Programming} ({EuroGP})},
	doi = {10.1007/978-3-030-72812-0_16},
	year = {2021},
	month = {apr 7},
	pages = {247--262},
	organization = {Springer},
	title = {Mining {Feature} {Relationships} in {Data}},
	volume = {12691},
}

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DOICited by 13

2020

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

Andrew Lensen, Bing Xue, Mengjie Zhang
Evolutionary Computation, December 2020
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BibTeX
@article{lensen2019genetic,
	author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	journal = {Evolutionary Computation},
	doi = {10.1162/evco_a_00264},
	number = {4},
	year = {2020},
	month = {dec 1},
	pages = {531--561},
	publisher = {MIT Press},
	title = {Genetic {Programming} for {Evolving} {Similarity} {Functions} for {Clustering}: Representations and {Analysis}},
	volume = {28},
}

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DOICited by 38

Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming

Finn Schofield, Andrew Lensen
Proceedings of the IEEE Congress on Evolutionary Computation (CEC), July 2020
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BibTeX
@inproceedings{schofield2020evolving,
	author = {Schofield, Finn and Lensen, Andrew},
	booktitle = {Proceedings of the {IEEE} {Congress} on {Evolutionary} {Computation} ({CEC})},
	doi = {10.1109/CEC48606.2020.9185575},
	year = {2020},
	month = {jul 19},
	pages = {1--8},
	organization = {IEEE},
	title = {Evolving {Simpler} {Constructed} {Features} for {Clustering} {Problems} with {Genetic} {Programming}},
}

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DOICited by 6

Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality

Andrew Lensen, Mengjie Zhang, Bing Xue
Genetic Programming and Evolvable Machines, February 2020
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BibTeX
@article{lensen2019multi,
	author = {Lensen, Andrew and Zhang, Mengjie and Xue, Bing},
	journal = {Genetic Programming and Evolvable Machines},
	doi = {10.1007/s10710-020-09375-4},
	number = {3},
	year = {2020},
	month = {feb 5},
	pages = {399--431},
	publisher = {Springer},
	title = {Multi-{Objective} {Genetic} {Programming} for {Manifold} {Learning}: Balancing {Quality} and {Dimensionality}},
	volume = {21},
}

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DOICited by 27

2019

Evolutionary Feature Manipulation in Unsupervised Learning

Andrew Lensen
Te Herenga Waka—Victoria University of Wellington, September 2019
PDF
BibTeX
@misc{lensen2019thesis,
	author = {Lensen, Andrew},
	doi = {10.26686/wgtn.17142221.v1},
	year = {2019},
	month = {9},
	pages = {268},
	school = {Te Herenga Waka---Victoria University of Wellington},
	title = {Evolutionary {Feature} {Manipulation} in {Unsupervised} {Learning}},
	type = {phdthesis},
}

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DOICited by 2

Can Genetic Programming Do Manifold Learning Too?

Andrew Lensen, Bing Xue, Mengjie Zhang
Proceedings of the European Conference on Genetic Programming (EuroGP), April 2019 (Best paper)
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BibTeX
@inproceedings{lensen2019can,
	author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	series = {Lecture {Notes} in {Computer} {Science}},
	booktitle = {Proceedings of the {European} {Conference} on {Genetic} {Programming} ({EuroGP})},
	doi = {10.1007/978-3-030-16670-0_8},
	year = {2019},
	month = {apr 24},
	note = {Best paper},
	pages = {114--130},
	organization = {Springer},
	title = {Can {Genetic} {Programming} {Do} {Manifold} {Learning} {Too}?},
	volume = {11451},
}

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DOICited by 31

A survey on evolutionary machine learning

Journal of the Royal Society of New Zealand, April 2019
PDF
BibTeX
@article{alsahaf2019survey,
	author = {Al-Sahaf, Harith and Bi, Ying and Chen, Qi and Lensen, Andrew and Mei, Yi and Sun, Yanan and Tran, Binh and Xue, Bing and Zhang, Mengjie},
	journal = {Journal of the Royal Society of New Zealand},
	doi = {10.1080/03036758.2019.1609052},
	number = {2},
	year = {2019},
	month = {apr 15},
	pages = {205--228},
	publisher = {Taylor \& Francis},
	title = {A survey on evolutionary machine learning},
	volume = {49},
}

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DOICited by 318

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 (GECCO), July 2018
PDF
BibTeX
@inproceedings{lensen2018automatically,
	author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	booktitle = {Proceedings of the {Genetic} and {Evolutionary} {Computation} {Conference} ({GECCO})},
	doi = {10.1145/3205455.3205552},
	year = {2018},
	month = {jul 15},
	pages = {458--465},
	organization = {ACM},
	title = {Automatically {Evolving} {Difficult} {Benchmark} {Feature} {Selection} {Datasets} with {Genetic} {Programming}},
}

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DOICited by 11

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

Proceedings of the IEEE Congress on Evolutionary Computation (CEC), July 2018
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BibTeX
@inproceedings{oneill2018particle,
	author = {O'Neill, Damien and Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	booktitle = {Proceedings of the {IEEE} {Congress} on {Evolutionary} {Computation} ({CEC})},
	doi = {10.1109/CEC.2018.8477974},
	year = {2018},
	month = {jul 8},
	pages = {1--8},
	organization = {IEEE},
	title = {Particle {Swarm} {Optimisation} for {Feature} {Selection} and {Weighting} in {High}-{Dimensional} {Clustering}},
}

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DOICited by 25

Generating Redundant Features with Unsupervised Multi-tree Genetic Programming

Andrew Lensen, Bing Xue, Mengjie Zhang
Proceedings of the European Conference on Genetic Programming (EuroGP), April 2018
PDF
BibTeX
@inproceedings{lensen2018generating,
	author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	series = {Lecture {Notes} in {Computer} {Science}},
	booktitle = {Proceedings of the {European} {Conference} on {Genetic} {Programming} ({EuroGP})},
	doi = {10.1007/978-3-319-77553-1_6},
	year = {2018},
	month = {apr 4},
	pages = {84--100},
	organization = {Springer},
	title = {Generating {Redundant} {Features} with {Unsupervised} {Multi}-tree {Genetic} {Programming}},
	volume = {10781},
}

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DOICited by 21

2017

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

Andrew Lensen, Bing Xue, Mengjie Zhang
Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL), November 2017
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BibTeX
@inproceedings{lensen2017New,
	author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	series = {Lecture {Notes} in {Computer} {Science}},
	booktitle = {Proceedings of the 11th {International} {Conference} on {Simulated} {Evolution} and {Learning} ({SEAL})},
	doi = {10.1007/978-3-319-68759-9_44},
	year = {2017},
	month = {nov 10},
	pages = {543--555},
	organization = {Springer},
	title = {New {Representations} in {Genetic} {Programming} for {Feature} {Construction} in k-{Means} {Clustering}},
	volume = {10593},
}

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DOICited by 8

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 (GECCO), July 2017
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BibTeX
@inproceedings{lensen2017GPGC,
	author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	booktitle = {Proceedings of the {Genetic} and {Evolutionary} {Computation} {Conference} ({GECCO})},
	doi = {10.1145/3071178.3071222},
	year = {2017},
	month = {jul 15},
	pages = {449--456},
	organization = {ACM},
	title = {GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach},
}

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DOICited by 13

Improving k-means clustering with genetic programming for feature construction

Andrew Lensen, Bing Xue, Mengjie Zhang
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, April 2017
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BibTeX
@inproceedings{lensen2017Improving,
	author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	booktitle = {Proceedings of the {Genetic} and {Evolutionary} {Computation} {Conference} ({GECCO}) {Companion}},
	doi = {10.1145/3067695.3075962},
	year = {2017},
	month = {apr 19},
	pages = {237--238},
	organization = {ACM},
	title = {Improving k-means clustering with genetic programming for feature construction},
}

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DOICited by 8

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 European Conference on the Applications of Evolutionary Computation (EvoApplications), Part I, April 2017
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BibTeX
@inproceedings{lensen2017Using,
	author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	series = {Lecture {Notes} in {Computer} {Science}},
	booktitle = {Proceedings of the {European} {Conference} on the {Applications} of {Evolutionary} {Computation} ({EvoApplications}), {Part} {I}},
	doi = {10.1007/978-3-319-55849-3_35},
	year = {2017},
	month = {apr 19},
	pages = {538--554},
	organization = {Springer},
	title = {Using {Particle} {Swarm} {Optimisation} and the {Silhouette} {Metric} to {Estimate} the {Number} of {Clusters}, {Select} {Features}, and {Perform} {Clustering}},
	volume = {10199},
}

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DOICited by 30

2016

Particle Swarm Optimisation Representations for Simultaneous Clustering and Feature Selection

Andrew Lensen, Bing Xue, Mengjie Zhang
Proceedings of the Symposium Series on Computational Intelligence (SSCI), December 2016
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BibTeX
@inproceedings{lensen2016Particle,
	author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie},
	booktitle = {Proceedings of the {Symposium} {Series} on {Computational} {Intelligence} ({SSCI})},
	doi = {10.1109/SSCI.2016.7850124},
	year = {2016},
	month = {dec 6},
	pages = {1--8},
	organization = {IEEE},
	title = {Particle {Swarm} {Optimisation} {Representations} for {Simultaneous} {Clustering} and {Feature} {Selection}},
}

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DOICited by 24

Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data

Proceedings of the European Conference on Genetic Programming (EuroGP), March 2016
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BibTeX
@inproceedings{lensen2016Genetic,
	author = {Lensen, Andrew and Al-Sahaf, Harith and Zhang, Mengjie and Xue, Bing},
	series = {Lecture {Notes} in {Computer} {Science}},
	booktitle = {Proceedings of the {European} {Conference} on {Genetic} {Programming} ({EuroGP})},
	doi = {10.1007/978-3-319-30668-1_4},
	year = {2016},
	month = {mar 30},
	pages = {51--67},
	organization = {Springer},
	title = {Genetic {Programming} for {Region} {Detection}, {Feature} {Extraction}, {Feature} {Construction} and {Classification} in {Image} {Data}},
	volume = {9594},
}

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DOICited by 72

2015

A hybrid Genetic Programming approach to feature detection and image classification

Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ), November 2015
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BibTeX
@inproceedings{lensen2015hybrid,
	author = {Lensen, Andrew and Al-Sahaf, Harith and Zhang, Mengjie and Xue, Bing},
	booktitle = {Proceedings of the {International} {Conference} on {Image} and {Vision} {Computing} {New} {Zealand} ({IVCNZ})},
	doi = {10.1109/IVCNZ.2015.7761564},
	year = {2015},
	month = {nov 23},
	pages = {1--6},
	organization = {IEEE},
	title = {A hybrid {Genetic} {Programming} approach to feature detection and image classification},
}

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DOICited by 8

Genetic Programming for algae detection in river images

Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh Verma
Proceedings of the IEEE Congress on Evolutionary Computation (CEC), May 2015
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BibTeX
@inproceedings{lensen2015Genetic,
	author = {Lensen, Andrew and Al-Sahaf, Harith and Zhang, Mengjie and Verma, Brijesh},
	booktitle = {Proceedings of the {IEEE} {Congress} on {Evolutionary} {Computation} ({CEC})},
	doi = {10.1109/CEC.2015.7257191},
	year = {2015},
	month = {may 25},
	pages = {2468--2475},
	organization = {IEEE},
	title = {Genetic {Programming} for algae detection in river images},
}

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DOICited by 5