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ORCIDAndrew Lensen
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2020 – today
- 2024
[c24]Hayden Andersen
, Andrew Lensen, Will N. Browne, Yi Mei:
Intepretable Local Explanations Through Genetic Programming. GECCO Companion 2024: 247-250- [i12]Paula Maddigan, Andrew Lensen, Bing Xue:
Explaining Genetic Programming Trees using Large Language Models. CoRR abs/2403.03397 (2024) - [i11]Ben Cravens, Andrew Lensen, Paula Maddigan, Bing Xue:
Genetic Programming for Explainable Manifold Learning. CoRR abs/2403.14139 (2024) - 2023
- [j5]Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang:
Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. 27(3): 621-641 (2023) - [c23]Finn Schofield, Luis Slyfield, Andrew Lensen:
A Genetic Programming Encoder for Increasing Autoencoder Interpretability. EuroGP 2023: 19-35 - [c22]Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei:
Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. GECCO 2023: 393-401 - [i10]Fintan O'Sullivan, Kirita-Rose Escott, Rachael C. Shaw, Andrew Lensen:
Feature-based Image Matching for Identifying Individual Kākā. CoRR abs/2301.06678 (2023) - [i9]Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv:
Differentiable Genetic Programming for High-dimensional Symbolic Regression. CoRR abs/2304.08915 (2023) - 2022
- [j4]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Manifold Learning: Preserving Local Topology. IEEE Trans. Evol. Comput. 26(4): 661-675 (2022) - [c21]Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei:
Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution. CEC 2022: 1-8 - [c20]Peng Zeng, Andrew Lensen, Yanan Sun:
Large scale image classification using GPU-based genetic programming. GECCO Companion 2022: 619-622 - [c19]Hayden Andersen, Andrew Lensen, Will N. Browne:
Improving the search of learning classifier systems through interpretable feature clustering. GECCO Companion 2022: 1752-1756 - [c18]Rui Zhang, Andrew Lensen, Yanan Sun:
Speeding up Genetic Programming Based Symbolic Regression Using GPUs. PRICAI (1) 2022: 519-533 - [c17]Michael Stanley, Andrew Lensen, Mengjie Zhang:
Using Neural Networks to Automate Monitoring of Fish Stocks. SSCI 2022: 634-641 - [i8]Harry Rodger, Andrew Lensen, Marcin Betkier:
Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand. CoRR abs/2208.06981 (2022) - 2021
- [j3]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization. IEEE Trans. Cybern. 51(11): 5468-5482 (2021) - [c16]Hayden Andersen, Andrew Lensen, Bing Xue:
Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. CEC 2021: 688-695 - [c15]Finn Schofield, Andrew Lensen:
Using Genetic Programming to Find Functional Mappings for UMAP Embeddings. CEC 2021: 704-711 - [c14]Andrew Lensen:
Mining Feature Relationships in Data. EuroGP 2021: 247-262 - [i7]Andrew Lensen:
Mining Feature Relationships in Data. CoRR abs/2102.01355 (2021) - [i6]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Manifold Learning: Preserving Local Topology. CoRR abs/2108.09914 (2021) - 2020
- [j2]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. Evol. Comput. 28(4): 531-561 (2020) - [j1]Andrew Lensen, Mengjie Zhang, Bing Xue:
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality. Genet. Program. Evolvable Mach. 21(3): 399-431 (2020) - [c13]Finn Schofield, Andrew Lensen:
Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming. CEC 2020: 1-8 - [i5]Andrew Lensen, Mengjie Zhang, Bing Xue:
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality. CoRR abs/2001.01331 (2020) - [i4]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation. CoRR abs/2001.09578 (2020)
2010 – 2019
- 2019
- [b1]Andrew Lensen:
Evolutionary Feature Manipulation in Unsupervised Learning. Victoria University of Wellington, New Zealand, 2019 - [c12]Andrew Lensen, Bing Xue, Mengjie Zhang:
Can Genetic Programming Do Manifold Learning Too? EuroGP 2019: 114-130 - [i3]Andrew Lensen, Bing Xue, Mengjie Zhang:
Can Genetic Programming Do Manifold Learning Too? CoRR abs/1902.02949 (2019) - [i2]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. CoRR abs/1910.10264 (2019) - 2018
- [c11]Damien O'Neill, Andrew Lensen, Bing Xue, Mengjie Zhang:
Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering. CEC 2018: 1-8 - [c10]Andrew Lensen, Bing Xue, Mengjie Zhang:
Generating Redundant Features with Unsupervised Multi-tree Genetic Programming. EuroGP 2018: 84-100 - [c9]Andrew Lensen, Bing Xue, Mengjie Zhang:
Automatically evolving difficult benchmark feature selection datasets with genetic programming. GECCO 2018: 458-465 - [i1]Andrew Lensen, Bing Xue, Mengjie Zhang:
Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming. CoRR abs/1802.00554 (2018) - 2017
- [c8]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: 538-554 - [c7]Andrew Lensen, Bing Xue, Mengjie Zhang:
Improving k-means clustering with genetic programming for feature construction. GECCO (Companion) 2017: 237-238 - [c6]Andrew Lensen, Bing Xue, Mengjie Zhang:
GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach. GECCO 2017: 449-456 - [c5]Andrew Lensen, Bing Xue, Mengjie Zhang:
New Representations in Genetic Programming for Feature Construction in k-Means Clustering. SEAL 2017: 543-555 - 2016
- [c4]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: 51-67 - [c3]Andrew Lensen, Bing Xue, Mengjie Zhang:
Particle swarm optimisation representations for simultaneous clustering and feature selection. SSCI 2016: 1-8 - 2015
- [c2]Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh K. Verma:
Genetic Programming for algae detection in river images. CEC 2015: 2468-2475 - [c1]Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue:
A hybrid Genetic Programming approach to feature detection and image classification. IVCNZ 2015: 1-6
Coauthor Index
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