Andrew Lensen - RankMe

47 papers A 3B 11Misc 2Journal 21Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Genetic Programming for Explainable Manifold Learning. IEEE Trans. Emerg. Top. Comput. Intell. Ben Cravens, Andrew Lensen, Paula Maddigan, Bing Xue
2026	J	`jnl`	SALMA: A machine learning tool for precise leaf morphology measurements. Ecol. Informatics Ilya Shabanov, Julie R. Deslippe, Andrew Lensen
2026	J	`jnl`	Single Microphone Own Voice Detection based on Simulated Transfer Functions for Hearing Aids. CoRR Mathuranathan Mayuravaani, W. Bastiaan Kleijn, Andrew Lensen, Charlotte Sørensen
2025	J	`jnl`	Re-Identifying Kākā with AI-Automated Video Key Frame Extraction. CoRR Paula Maddigan, Andrew Lensen, Rachael C. Shaw
2024	J	`jnl`	Explaining Genetic Programming Trees using Large Language Models. CoRR Paula Maddigan, Andrew Lensen, Bing Xue
2024	J	`jnl`	Genetic Programming for Explainable Manifold Learning. CoRR Ben Cravens, Andrew Lensen, Paula Maddigan, Bing Xue
2024	—	`conf`	Intepretable Local Explanations Through Genetic Programming. GECCO Companion Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
2024	Misc	`conf`	Re-Identification of Individual Kākā: An Explainable DINO-Based Model. IVCNZ Paula Maddigan, Oskar Ehrhardt, Andrew Lensen, Rachael C. Shaw
2023	B	`conf`	A Genetic Programming Encoder for Increasing Autoencoder Interpretability. EuroGP Finn Schofield, Luis Slyfield, Andrew Lensen
2023	J	`jnl`	Differentiable Genetic Programming for High-dimensional Symbolic Regression. CoRR Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv
2023	J	`jnl`	Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang
2023	J	`jnl`	Feature-based Image Matching for Identifying Individual Kākā. CoRR Fintan O'Sullivan, Kirita-Rose Escott, Rachael C. Shaw, Andrew Lensen
2023	A	`conf`	Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. GECCO Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
2022	B	`conf`	Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution. CEC Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
2022	J	`jnl`	Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand. CoRR Harry Rodger, Andrew Lensen, Marcin Betkier
2022	J	`jnl`	Genetic Programming for Manifold Learning: Preserving Local Topology. IEEE Trans. Evol. Comput. Andrew Lensen, Bing Xue, Mengjie Zhang
2022	—	`conf`	Improving the search of learning classifier systems through interpretable feature clustering. GECCO Companion Hayden Andersen, Andrew Lensen, Will N. Browne
2022	—	`conf`	Large scale image classification using GPU-based genetic programming. GECCO Companion Peng Zeng, Andrew Lensen, Yanan Sun
2022	—	`conf`	Speeding up Genetic Programming Based Symbolic Regression Using GPUs. PRICAI (1) Rui Zhang, Andrew Lensen, Yanan Sun
2022	—	`conf`	Using Neural Networks to Automate Monitoring of Fish Stocks. SSCI Michael Stanley, Andrew Lensen, Mengjie Zhang
2021	B	`conf`	Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. CEC Hayden Andersen, Andrew Lensen, Bing Xue
2021	J	`jnl`	Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization. IEEE Trans. Cybern. Andrew Lensen, Bing Xue, Mengjie Zhang
2021	J	`jnl`	Genetic Programming for Manifold Learning: Preserving Local Topology. CoRR Andrew Lensen, Bing Xue, Mengjie Zhang
2021	B	`conf`	Mining Feature Relationships in Data. EuroGP Andrew Lensen
2021	J	`jnl`	Mining Feature Relationships in Data. CoRR Andrew Lensen
2021	B	`conf`	Using Genetic Programming to Find Functional Mappings for UMAP Embeddings. CEC Finn Schofield, Andrew Lensen
2020	B	`conf`	Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming. CEC Finn Schofield, Andrew Lensen
2020	J	`jnl`	Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. Evol. Comput. Andrew Lensen, Bing Xue, Mengjie Zhang
2020	J	`jnl`	Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation. CoRR Andrew Lensen, Bing Xue, Mengjie Zhang
2020	J	`jnl`	Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality. CoRR Andrew Lensen, Mengjie Zhang, Bing Xue
2020	J	`jnl`	Multi-objective genetic programming for manifold learning: balancing quality and dimensionality. Genet. Program. Evolvable Mach. Andrew Lensen, Mengjie Zhang, Bing Xue
2019	B	`conf`	Can Genetic Programming Do Manifold Learning Too? EuroGP Andrew Lensen, Bing Xue, Mengjie Zhang
2019	J	`jnl`	Can Genetic Programming Do Manifold Learning Too? CoRR Andrew Lensen, Bing Xue, Mengjie Zhang
2019	—	`—`	Evolutionary Feature Manipulation in Unsupervised Learning. Andrew Lensen
2019	J	`jnl`	Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. CoRR Andrew Lensen, Bing Xue, Mengjie Zhang
2018	A	`conf`	Automatically evolving difficult benchmark feature selection datasets with genetic programming. GECCO Andrew Lensen, Bing Xue, Mengjie Zhang
2018	J	`jnl`	Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming. CoRR Andrew Lensen, Bing Xue, Mengjie Zhang
2018	B	`conf`	Generating Redundant Features with Unsupervised Multi-tree Genetic Programming. EuroGP Andrew Lensen, Bing Xue, Mengjie Zhang
2018	B	`conf`	Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering. CEC Damien O'Neill, Andrew Lensen, Bing Xue, Mengjie Zhang
2017	A	`conf`	GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach. GECCO Andrew Lensen, Bing Xue, Mengjie Zhang
2017	—	`conf`	Improving GECCO (Companion) Andrew Lensen, Bing Xue, Mengjie Zhang
2017	—	`conf`	New Representations in Genetic Programming for Feature Construction in k-Means Clustering. SEAL Andrew Lensen, Bing Xue, Mengjie Zhang
2017	—	`conf`	Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering. EvoApplications (1) Andrew Lensen, Bing Xue, Mengjie Zhang
2016	B	`conf`	Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data. EuroGP Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue
2016	—	`conf`	Particle swarm optimisation representations for simultaneous clustering and feature selection. SSCI Andrew Lensen, Bing Xue, Mengjie Zhang
2015	Misc	`conf`	A hybrid Genetic Programming approach to feature detection and image classification. IVCNZ Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue
2015	B	`conf`	Genetic Programming for algae detection in river images. CEC Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh K. Verma