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
PDF DOICited by 14
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}},
}
Download .bibA machine learning framework for mapping shifts in species' abundance from long-term monitoring data
Journal of Ecology, June 2026
PDF DOI
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},
}
Download .bibSingle Microphone Own Voice Detection based on Simulated Transfer Functions for Hearing Aids
arXiv, March 2026
PDF DOICited by 1
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}},
}
Download .bibInterpretable Wildlife Classification by Coupling Genetics, Scoring Systems, and Computer Vision
SSRN, February 2026
PDF DOI
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}},
}
Download .bibGenetic Programming for Explainable Manifold Learning
IEEE Transactions on Emerging Topics in Computational Intelligence, February 2026
PDF DOICited by 7
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},
}
Download .bibSALMA: A Machine Learning Tool for Precise Leaf Morphology Measurements
Ecological Informatics, February 2026
PDF DOI
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},
}
Download .bib2025
Climate-Driven Forest Reassembly Follows Divergent Functional Pathways in Cold- and Warm-Adapted Communities
bioRxiv, November 2025
PDF DOI
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},
}
Download .bibRe-Identifying Kākā with AI-Automated Video Key Frame Extraction
arXiv, October 2025
PDF DOI
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}},
}
Download .bib2024
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 DOICited by 7
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}},
}
Download .bibInterpretable Local Explanations Through Genetic Programming
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, July 2024
PDF DOI
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}},
}
Download .bibExplaining Genetic Programming Trees using Large Language Models
arXiv, March 2024
PDF DOICited by 16
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}},
}
Download .bib2023
Explainable Artificial Intelligence by Genetic Programming: A Survey
IEEE Transactions on Evolutionary Computation, November 2023
PDF DOICited by 253
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},
}
Download .bibExplainable 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
PDFCited by 4
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},
}
Download .bibProducing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), July 2023
PDF DOICited by 9
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}},
}
Download .bibDifferentiable Genetic Programming for High-dimensional Symbolic Regression
arXiv, April 2023
PDF DOICited by 14
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}},
}
Download .bibA Genetic Programming Encoder for Increasing Autoencoder Interpretability
Proceedings of the European Conference on Genetic Programming (EuroGP), April 2023
PDF DOICited by 5
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},
}
Download .bibFeature-based Image Matching for Identifying Individual Kākā
arXiv, January 2023
PDF DOICited by 1
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}},
}
Download .bib2022
Using Neural Networks to Automate Monitoring of Fish Stocks
Proceedings of the Symposium Series on Computational Intelligence (SSCI), December 2022
PDF DOICited by 2
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} },
}
Download .bibSpeeding up Genetic Programming Based Symbolic Regression Using GPUs
Proceedings of the Pacific Rim International Conference on Artificial Intelligence (PRICAI), November 2022
PDF DOICited by 13
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}},
}
Download .bibGenetic Programming for Manifold Learning: Preserving Local Topology
IEEE Transactions on Evolutionary Computation, August 2022
PDF DOICited by 22
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},
}
Download .bibExplainable Artificial Intelligence for Assault Sentence Prediction in New Zealand
Journal of the Royal Society of New Zealand, August 2022
PDF DOICited by 18
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}},
}
Download .bibEvolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution
Proceedings of the IEEE Congress on Evolutionary Computation (CEC), July 2022
PDF DOICited by 5
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}},
}
Download .bibLarge Scale Image Classification Using GPU-based Genetic Programming
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, July 2022
PDF DOICited by 4
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}},
}
Download .bibImproving the Search of Learning Classifier Systems Through Interpretable Feature Clustering
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, July 2022
PDF DOICited by 8
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}},
}
Download .bib2021
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization
IEEE Transactions on Cybernetics, November 2021
PDF DOICited by 66
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},
}
Download .bibGenetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms
Proceedings of the IEEE Congress on Evolutionary Computation (CEC), June 2021
PDF DOICited by 3
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}},
}
Download .bibUsing Genetic Programming to Find Functional Mappings for UMAP Embeddings
Finn Schofield, Andrew Lensen
Proceedings of the IEEE Congress on Evolutionary Computation (CEC), June 2021
PDF DOICited by 15
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}},
}
Download .bibMining Feature Relationships in Data
Andrew Lensen
Proceedings of the European Conference on Genetic Programming (EuroGP), April 2021
PDF DOICited by 13
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},
}
Download .bib2020
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis
Evolutionary Computation, December 2020
PDF DOICited by 38
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},
}
Download .bibEvolving Simpler Constructed Features for Clustering Problems with Genetic Programming
Finn Schofield, Andrew Lensen
Proceedings of the IEEE Congress on Evolutionary Computation (CEC), July 2020
PDF DOICited by 6
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}},
}
Download .bibMulti-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality
Genetic Programming and Evolvable Machines, February 2020
PDF DOICited by 27
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},
}
Download .bib2019
Evolutionary Feature Manipulation in Unsupervised Learning
Andrew Lensen
Te Herenga Waka—Victoria University of Wellington, September 2019
PDF DOICited by 2
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},
}
Download .bibCan Genetic Programming Do Manifold Learning Too?
Proceedings of the European Conference on Genetic Programming (EuroGP), April 2019 (Best paper)
PDF DOICited by 31
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},
}
Download .bibA survey on evolutionary machine learning
Harith Al-Sahaf, Ying Bi, Qi Chen, Andrew Lensen, Yi Mei, Yanan Sun, Binh Tran, Bing Xue, Mengjie Zhang
Journal of the Royal Society of New Zealand, April 2019
PDF DOICited by 318
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},
}
Download .bib2018
Automatically Evolving Difficult Benchmark Feature Selection Datasets with Genetic Programming
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), July 2018
PDF DOICited by 11
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}},
}
Download .bibParticle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering
Proceedings of the IEEE Congress on Evolutionary Computation (CEC), July 2018
PDF DOICited by 25
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}},
}
Download .bibGenerating Redundant Features with Unsupervised Multi-tree Genetic Programming
Proceedings of the European Conference on Genetic Programming (EuroGP), April 2018
PDF DOICited by 21
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},
}
Download .bib2017
New Representations in Genetic Programming for Feature Construction in k-Means Clustering
Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL), November 2017
PDF DOICited by 8
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},
}
Download .bibGPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), July 2017
PDF DOICited by 13
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},
}
Download .bibImproving k-means clustering with genetic programming for feature construction
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, April 2017
PDF DOICited by 8
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},
}
Download .bibUsing Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering
Proceedings of the European Conference on the Applications of Evolutionary Computation (EvoApplications), Part I, April 2017
PDF DOICited by 30
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},
}
Download .bib2016
Particle Swarm Optimisation Representations for Simultaneous Clustering and Feature Selection
Proceedings of the Symposium Series on Computational Intelligence (SSCI), December 2016
PDF DOICited by 24
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}},
}
Download .bibGenetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data
Proceedings of the European Conference on Genetic Programming (EuroGP), March 2016
PDF DOICited by 72
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},
}
Download .bib2015
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
PDF DOICited by 8
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},
}
Download .bibGenetic Programming for algae detection in river images
Proceedings of the IEEE Congress on Evolutionary Computation (CEC), May 2015
PDF DOICited by 5
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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