2024 Interpretable Local Explanations Through Genetic Programming Hayden Andersen, Andrew Lensen, Will N. Browne, and Yi Mei In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, Jul 2024 To Appear Bib PDF @inproceedings{andersen2024interpretable, author = {Andersen, Hayden and Lensen, Andrew and Browne, {Will N.} and Mei, Yi}, title = {Interpretable Local Explanations Through Genetic Programming}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion}, year = {2024}, month = jul, day = {14}, publisher = {{ACM}}, note = {To Appear} } Explaining Genetic Programming Trees using Large Language Models Paula Maddigan, Andrew Lensen, and Bing Xue arXiv, Mar 2024 Bib PDF DOI @article{maddigan2024explaining, author = {Maddigan, Paula and Lensen, Andrew and Xue, Bing}, title = {Explaining Genetic Programming Trees using Large Language Models}, year = {2024}, doi = {10.48550/arXiv.2403.03397}, eprinttype = {arXiv}, eprint = {2403.03397}, journal = {arXiv}, month = mar, day = {6}, } Genetic Programming Trees for Explainable Manifold Learning Ben Cravens, Andrew Lensen, Paula Maddigan, and Bing Xue arXiv, Mar 2024 Bib PDF DOI @article{cravens2024genetic, author = {Cravens, Ben and Lensen, Andrew and Maddigan, Paula and Xue, Bing}, title = {Genetic Programming Trees for Explainable Manifold Learning}, year = {2024}, doi = {10.48550/arXiv.2403.14139}, eprinttype = {arXiv}, eprint = {2403.14139}, journal = {arXiv}, month = mar, day = {22}, } 2023 Explainable Artificial Intelligence by Genetic Programming: A Survey Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, and Mengjie Zhang IEEE Transactions on Evolutionary Computation, Nov 2023 Bib PDF DOI @article{mei2022explainable, author = {Mei, Yi and Chen, Qi and Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {Explainable Artificial Intelligence by Genetic Programming: A Survey}, journal = {{IEEE} Transactions on Evolutionary Computation}, pages = {621--641}, year = {2023}, volume = {27}, number = {3}, month = nov, day = {25}, publisher = {IEEE}, doi = {10.1109/TEVC.2022.3225509}, } Explainable AI–building trust through understanding Matt Lythe, Gabriella Mazorra Cos, Maria Mingallon, Andrew Lensen, Christopher Galloway, David Knox, Sarah Auvaa, and Kaushalya Kumarasinghe Nov 2023 Bib PDF @article{lythe2023explainable, title = {Explainable AI--building trust through understanding}, 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 = nov, publisher = {AI Forum New Zealand}, } Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimisation Hayden Andersen, Andrew Lensen, Will N. Browne, and Yi Mei In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Jul 2023 Bib PDF DOI @inproceedings{andersen2023producing, author = {Andersen, Hayden and Lensen, Andrew and Browne, {Will N.} and Mei, Yi}, title = {Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimisation}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)}, year = {2023}, month = jul, day = {15}, publisher = {{ACM}}, pages = {393--401}, doi = {10.1145/3583131.3590444} } A Genetic Programming Encoder for Increasing Autoencoder Interpretability Finn Schofield, Luis Slyfield, and Andrew Lensen In Proceedings of the European Conference on Genetic Programming (EuroGP), Apr 2023 Bib PDF DOI @inproceedings{schofield2023genetic, author = {Schofield, Finn and Slyfield, Luis and Lensen, Andrew}, title = {A Genetic Programming Encoder for Increasing Autoencoder Interpretability}, booktitle = {Proceedings of the European Conference on Genetic Programming (EuroGP)}, year = {2023}, month = apr, day = {12}, volume = {13986}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, pages = {19--35}, doi = {10.1007/978-3-031-29573-7_2} } Differentiable Genetic Programming for High-dimensional Symbolic Regression Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, and Jiancheng Lv arXiv, Apr 2023 Bib PDF DOI @article{zeng2023differentiable, author = {Zeng, Peng and Song, Xiaotian and Lensen, Andrew and Ou, Yuwei and Sun, Yanan and Zhang, Mengjie and Lv, Jiancheng}, title = {Differentiable Genetic Programming for High-dimensional Symbolic Regression}, year = {2023}, doi = {10.48550/arXiv.2304.08915}, eprinttype = {arXiv}, eprint = {2304.08915}, journal = {arXiv}, month = apr, day = {18}, } Feature-based Image Matching for Identifying Individual Kākā Fintan O’Sullivan, Kirita-Rose Escott, Rachael Shaw, and Andrew Lensen arXiv, Jan 2023 Bib PDF DOI @article{osullivan2023feature, author = {O'Sullivan, Fintan and Escott, Kirita{-}Rose and Shaw, Rachael and Lensen, Andrew}, title = {Feature-based Image Matching for Identifying Individual Kākā}, year = {2023}, doi = {10.48550/arXiv.2301.06678}, eprinttype = {arXiv}, eprint = {2301.06678}, journal = {arXiv}, month = jan, day = {17}, } 2022 Using Neural Networks to Automate Monitoring of Fish Stocks Michael Stanley, Andrew Lensen, and Mengjie Zhang In Proceedings of the Symposium Series on Computational Intelligence (SSCI), Dec 2022 Bib PDF DOI @inproceedings{stanley2022using, author = {Stanley, Michael and Lensen, Andrew and Zhang, Mengjie}, title = {Using Neural Networks to Automate Monitoring of Fish Stocks }, booktitle = {Proceedings of the Symposium Series on Computational Intelligence (SSCI)}, year = {2022}, month = dec, day = {4}, pages = {1--6}, publisher = {{IEEE}}, doi = {10.1109/SSCI51031.2022.10022081} } Speeding up Genetic Programming Based Symbolic Regression Using GPUs Rui Zhang, Andrew Lensen, and Yanan Sun In Proceedings of the Pacific Rim International Conference on Artificial Intelligence (PRICAI), Nov 2022 Bib PDF DOI @inproceedings{zhang2022speeding, author = {Zhang, Rui and Lensen, Andrew and Sun, Yanan}, title = {Speeding up Genetic Programming Based Symbolic Regression Using GPUs}, booktitle = {Proceedings of the Pacific Rim International Conference on Artificial Intelligence (PRICAI)}, year = {2022}, month = nov, day = {10}, pages = {1--14}, publisher = {{IEEE}}, doi = {10.1007/978-3-031-20862-1_38} } Genetic Programming for Manifold Learning: Preserving Local Topology Andrew Lensen, Bing Xue, and Mengjie Zhang IEEE Transactions on Evolutionary Computation, Aug 2022 Bib PDF DOI @article{lensen2021genetic, author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {Genetic Programming for Manifold Learning: Preserving Local Topology}, journal = {{IEEE} Transactions on Evolutionary Computation}, pages = {661--675}, year = {2022}, month = aug, day = {23}, volume = {26}, number = {4}, publisher = {IEEE}, doi = {10.1109/TEVC.2021.3106672} } Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand Harry Rodger, Andrew Lensen, and Marcin Betkier Journal of the Royal Society of New Zealand, Aug 2022 Bib PDF DOI @article{rodger2022explainable, author = {Rodger, Harry and Lensen, Andrew and Betkier, Marcin}, title = {Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand}, journal = {Journal of the Royal Society of New Zealand}, year = {2022}, month = aug, pages = {1--15}, day = {15}, publisher = {Taylor & Francis}, doi = {10.1080/03036758.2022.2114506}, } Large Scale Image Classification Using GPU-based Genetic Programming Peng Zeng, Andrew Lensen, and Yanan Sun In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, Jul 2022 Bib PDF DOI @inproceedings{zeng2022large, author = {Zeng, Peng and Lensen, Andrew and Sun, Yanan}, title = {Large Scale Image Classification Using {GPU}-based Genetic Programming}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion}, year = {2022}, month = jul, day = {9}, pages = {619--622}, publisher = {{ACM}}, doi = {10.1145/3520304.3528892} } Improving the Search of Learning Classifier Systems Through Interpretable Feature Clustering Hayden Andersen, Andrew Lensen, and Will N. Browne In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, Jul 2022 Bib PDF DOI @inproceedings{andersen2022improving, author = {Andersen, Hayden and Lensen, Andrew and Browne, {Will N.}}, title = {Improving the Search of Learning Classifier Systems Through Interpretable Feature Clustering}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion}, year = {2022}, month = jul, day = {9}, pages = {1752--1756}, publisher = {{ACM}}, doi = {10.1145/3520304.3534027} } Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution Hayden Andersen, Andrew Lensen, Will N. Browne, and Yi Mei In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Jul 2022 Bib PDF DOI @inproceedings{andersen2022evolving, author = {Andersen, Hayden and Lensen, Andrew and Browne, {Will N.} and Mei, Yi}, title = {Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution}, booktitle = {Proceedings of the {IEEE} Congress on Evolutionary Computation (CEC)}, year = {2022}, month = jul, day = {18}, pages = {1--8}, publisher = {{IEEE}}, doi = {10.1109/CEC55065.2022.9870283} } 2021 Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation Andrew Lensen, Bing Xue, and Mengjie Zhang IEEE Transactions on Cybernetics, Nov 2021 Bib PDF DOI @article{lensen2020genetic, author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation}, journal = {{IEEE} Transactions on Cybernetics}, pages = {5468--5482}, year = {2021}, month = nov, day = {9}, volume = {51}, number = {11}, publisher = {IEEE}, doi = {10.1109/TCYB.2020.2970198} } Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms Hayden Andersen, Andrew Lensen, and Bing Xue In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Jun 2021 Bib PDF DOI @inproceedings{andersen2021genetic, author = {Andersen, Hayden and Lensen, Andrew and Xue, Bing}, title = {Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms}, booktitle = {Proceedings of the {IEEE} Congress on Evolutionary Computation (CEC)}, year = {2021}, month = jun, day = {28}, publisher = {{IEEE}}, pages = {688--695}, doi = {10.1109/CEC45853.2021.9504855} } Using Genetic Programming to Find Functional Mappings for UMAP Embeddings Finn Schofield, and Andrew Lensen In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Jun 2021 Bib PDF DOI @inproceedings{schofield2021using, author = {Schofield, Finn and Lensen, Andrew}, title = {Using Genetic Programming to Find Functional Mappings for UMAP Embeddings}, booktitle = {Proceedings of the {IEEE} Congress on Evolutionary Computation (CEC)}, year = {2021}, month = jun, day = {28}, publisher = {{IEEE}}, pages = {704--711}, doi = {10.1109/CEC45853.2021.9504848} } Mining Feature Relationships in Data Andrew Lensen In Proceedings of the European Conference on Genetic Programming (EuroGP), Apr 2021 Bib PDF DOI @inproceedings{lensen2021mining, author = {Lensen, Andrew}, title = {Mining Feature Relationships in Data}, booktitle = {Proceedings of the European Conference on Genetic Programming (EuroGP)}, year = {2021}, month = apr, day = {7}, volume = {12691}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, pages = {247--262}, doi = {10.1007/978-3-030-72812-0_16} } 2020 Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis Andrew Lensen, Bing Xue, and Mengjie Zhang Evolutionary Computation, Dec 2020 Bib PDF DOI @article{lensen2019genetic, author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis}, journal = {Evolutionary Computation}, volume = {28}, number = {4}, pages = {531--561}, year = {2020}, month = dec, day = {1}, publisher = {MIT Press}, doi = {10.1162/evco_a_00264} } Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming Finn Schofield, and Andrew Lensen In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Jul 2020 Bib PDF DOI @inproceedings{schofield2020evolving, author = {Schofield, Finn and Lensen, Andrew}, title = {Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming}, booktitle = {Proceedings of the {IEEE} Congress on Evolutionary Computation (CEC)}, year = {2020}, month = jul, day = {19}, publisher = {{IEEE}}, pages = {1--8}, doi = {10.1109/CEC48606.2020.9185575} } Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality Andrew Lensen, Mengjie Zhang, and Bing Xue Genetic Programming and Evolvable Machines, Feb 2020 Bib PDF DOI @article{lensen2019multi, author = {Lensen, Andrew and Zhang, Mengjie and Xue, Bing}, title = {Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality}, journal = {Genetic Programming and Evolvable Machines}, volume = {21}, number = {3}, pages = {399--431}, year = {2020}, month = feb, day = {5}, publisher = {Springer}, doi = {10.1007/s10710-020-09375-4} } 2019 Evolutionary Feature Manipulation in Unsupervised Learning Andrew Lensen Sep 2019 Bib PDF DOI @phdthesis{lensen2019thesis, author = {Lensen, Andrew}, title = {Evolutionary Feature Manipulation in Unsupervised Learning}, year = {2019}, month = sep, pages = {268}, institution = {Te Herenga Waka---Victoria University of Wellington}, doi = {10.26686/wgtn.17142221.v1} } Can Genetic Programming Do Manifold Learning Too? Andrew Lensen, Bing Xue, and Mengjie Zhang In Proceedings of the European Conference on Genetic Programming (EuroGP), Apr 2019 Best paper Bib PDF DOI @inproceedings{lensen2019can, author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {Can Genetic Programming Do Manifold Learning Too?}, booktitle = {Proceedings of the European Conference on Genetic Programming (EuroGP)}, year = {2019}, month = apr, day = {24}, volume = {11451}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, pages = {114--130}, note = {Best paper}, doi = {10.1007/978-3-030-16670-0_8} } A survey on evolutionary machine learning Harith Al-Sahaf, Ying Bi, Qi Chen, Andrew Lensen, Yi Mei, Yanan Sun, Binh Tran, Bing Xue, and Mengjie Zhang Journal of the Royal Society of New Zealand, Apr 2019 Bib PDF DOI @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}, title = {A survey on evolutionary machine learning}, journal = {Journal of the Royal Society of New Zealand}, volume = {49}, number = {2}, pages = {205-228}, year = {2019}, month = apr, day = {15}, publisher = {Taylor & Francis}, doi = {10.1080/03036758.2019.1609052} } 2018 Automatically Evolving Difficult Benchmark Feature Selection Datasets with Genetic Programming Andrew Lensen, Bing Xue, and Mengjie Zhang In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Jul 2018 Bib PDF DOI @inproceedings{lensen2018automatically, author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {Automatically Evolving Difficult Benchmark Feature Selection Datasets with Genetic Programming}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)}, pages = {458--465}, year = {2018}, month = jul, day = {15}, publisher = {{ACM}}, doi = {10.1145/3205455.3205552} } Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering Damien O’Neill, Andrew Lensen, Bing Xue, and Mengjie Zhang In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Jul 2018 Bib PDF DOI @inproceedings{oneill2018particle, author = {O'Neill, Damien and Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering}, booktitle = {Proceedings of the {IEEE} Congress on Evolutionary Computation (CEC)}, year = {2018}, month = jul, day = {8}, publisher = {{IEEE}}, pages = {1--8}, doi = {10.1109/CEC.2018.8477974} } Generating Redundant Features with Unsupervised Multi-tree Genetic Programming Andrew Lensen, Bing Xue, and Mengjie Zhang In Proceedings of the European Conference on Genetic Programming (EuroGP), Apr 2018 Bib PDF DOI @inproceedings{lensen2018generating, author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {Generating Redundant Features with Unsupervised Multi-tree Genetic Programming}, booktitle = {Proceedings of the European Conference on Genetic Programming (EuroGP)}, pages = {84--100}, year = {2018}, month = apr, day = {4}, series = {Lecture Notes in Computer Science}, volume = {10781}, publisher = {Springer}, doi = {10.1007/978-3-319-77553-1_6}, } 2017 New Representations in Genetic Programming for Feature Construction in k-Means Clustering Andrew Lensen, Bing Xue, and Mengjie Zhang In Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL), Nov 2017 Bib PDF DOI @inproceedings{lensen2017New, author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {New Representations in Genetic Programming for Feature Construction in k-Means Clustering}, booktitle = {Proceedings of the 11th International Conference on Simulated Evolution and Learning ({SEAL})}, year = {2017}, month = nov, day = {10}, volume = {10593}, series = {Lecture Notes in Computer Science}, pages = {543--555}, publisher = {Springer}, doi = {10.1007/978-3-319-68759-9_44}, } GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach Andrew Lensen, Bing Xue, and Mengjie Zhang In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Jul 2017 Bib PDF DOI @inproceedings{lensen2017GPGC, author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {{GPGC:} genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)}, year = {2017}, month = jul, day = {15}, pages = {449--456}, publisher = {{ACM}}, doi = {10.1145/3071178.3071222}, } Improving k-means clustering with genetic programming for feature construction Andrew Lensen, Bing Xue, and Mengjie Zhang In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, Apr 2017 Bib PDF DOI @inproceedings{lensen2017Improving, author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {Improving {k}-means clustering with genetic programming for feature construction}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion}, year = {2017}, month = apr, day = {19}, pages = {237--238}, publisher = {{ACM}}, doi = {10.1145/3067695.3075962}, } Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering Andrew Lensen, Bing Xue, and Mengjie Zhang In Proceedings of the European Conference on the Applications of Evolutionary Computation (EvoApplications), Part I, Apr 2017 Bib PDF DOI @inproceedings{lensen2017Using, author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering}, booktitle = {Proceedings of the European Conference on the Applications of Evolutionary Computation (EvoApplications), Part {I}}, year = {2017}, month = apr, day = {19}, volume = {10199}, series = {Lecture Notes in Computer Science}, pages = {538--554}, publisher = {Springer}, doi = {10.1007/978-3-319-55849-3_35}, } 2016 Particle Swarm Optimisation Representations for Simultaneous Clustering and Feature Selection Andrew Lensen, Bing Xue, and Mengjie Zhang In Proceedings of the Symposium Series on Computational Intelligence (SSCI), Dec 2016 Bib PDF DOI @inproceedings{lensen2016Particle, author = {Lensen, Andrew and Xue, Bing and Zhang, Mengjie}, title = {Particle Swarm Optimisation Representations for Simultaneous Clustering and Feature Selection}, booktitle = {Proceedings of the Symposium Series on Computational Intelligence (SSCI)}, year = {2016}, month = dec, day = {6}, pages = {1--8}, publisher = {{IEEE}}, doi = {10.1109/SSCI.2016.7850124}, } Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, and Bing Xue In Proceedings of the European Conference on Genetic Programming (EuroGP), Mar 2016 Bib PDF DOI @inproceedings{lensen2016Genetic, author = {Lensen, Andrew and Al{-}Sahaf, Harith and Zhang, Mengjie and Xue, Bing}, title = {Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data}, booktitle = {Proceedings of the European Conference on Genetic Programming (EuroGP)}, year = {2016}, month = mar, day = {30}, volume = {9594}, series = {Lecture Notes in Computer Science}, pages = {51--67}, publisher = {Springer}, doi = {10.1007/978-3-319-30668-1_4}, } 2015 A hybrid Genetic Programming approach to feature detection and image classification Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, and Bing Xue In Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ), Nov 2015 Bib PDF DOI @inproceedings{lensen2015hybrid, author = {Lensen, Andrew and Al{-}Sahaf, Harith and Zhang, Mengjie and Xue, Bing}, title = {A hybrid Genetic Programming approach to feature detection and image classification}, booktitle = {Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ)}, year = {2015}, month = nov, day = {23}, pages = {1--6}, publisher = {{IEEE}}, doi = {10.1109/IVCNZ.2015.7761564}, } Genetic Programming for algae detection in river images Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, and Brijesh Verma In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), May 2015 Bib PDF DOI @inproceedings{lensen2015Genetic, author = {Lensen, Andrew and Al{-}Sahaf, Harith and Zhang, Mengjie and Verma, Brijesh}, title = {Genetic Programming for algae detection in river images}, booktitle = {Proceedings of the {IEEE} Congress on Evolutionary Computation (CEC)}, year = {2015}, month = may, day = {25}, pages = {2468--2475}, publisher = {{IEEE}}, doi = {10.1109/CEC.2015.7257191}, }