Genetic Programming for Explainable Manifold Learning

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Genetic Programming for Explainable Manifold Learning

21 March 2024

Bing Xue

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Papers citing "Genetic Programming for Explainable Manifold Learning"

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Title
Explaining Genetic Programming Trees using Large Language Models Paula Maddigan Andrew Lensen Bing Xue AI4CE 74 6 0 06 Mar 2024
Rethinking Interpretability in the Era of Large Language Models Chandan Singh J. Inala Michel Galley Rich Caruana Jianfeng Gao LRM AI4CE 126 71 0 30 Jan 2024
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 150 225 0 30 Oct 2023
Forecasting Patient Demand at Urgent Care Clinics using Machine Learning Paula Maddigan Teo Susnjak OOD 35 4 0 25 May 2022
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 114 405 0 19 Oct 2020
FsNet: Feature Selection Network on High-dimensional Biological Data Dinesh Singh Héctor Climente-González Mathis Petrovich Eiryo Kawakami M. Yamada 95 49 0 23 Jan 2020
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality Andrew Lensen Mengjie Zhang Bing Xue 28 16 0 05 Jan 2020
Can Genetic Programming Do Manifold Learning Too? Andrew Lensen Bing Xue Mengjie Zhang AI4CE 50 18 0 08 Feb 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 247 9,512 0 09 Feb 2018