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Andrew Lensen

Genetic Programming for Explainable Manifold Learning

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Mar 21, 2024
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Explaining Genetic Programming Trees using Large Language Models

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Mar 06, 2024
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Differentiable Genetic Programming for High-dimensional Symbolic Regression

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Apr 18, 2023
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Feature-based Image Matching for Identifying Individual Kākā

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Jan 24, 2023
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Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand

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Aug 15, 2022
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Genetic Programming for Manifold Learning: Preserving Local Topology

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Aug 23, 2021
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Mining Feature Relationships in Data

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Feb 02, 2021
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Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation

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Jan 27, 2020
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Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality

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Jan 05, 2020
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Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis

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Oct 22, 2019
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