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Signed-off-by: Koorosh Aslansefat <[email protected]>
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| <!DOCTYPE html> | ||
| <html lang="en"> | ||
| <head> | ||
| <meta charset="UTF-8"> | ||
| <meta name="description" content="Explainability of Point Cloud Neural Networks Using SMILE"> | ||
| <meta name="keywords" content="XAI, Explainability, SMILE, Point Cloud, SafeML"> | ||
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | ||
| <title>Explainability with SMILE</title> | ||
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| </head> | ||
| <body> | ||
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| <nav class="navbar" role="navigation" aria-label="main navigation"> | ||
| <div class="navbar-brand"> | ||
| <a class="navbar-item" href="https://koo-ec.github.io/"> | ||
| <i class="fas fa-home"></i> | ||
| </a> | ||
| </div> | ||
| </nav> | ||
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| <section class="hero"> | ||
| <div class="hero-body"> | ||
| <div class="container"> | ||
| <h1 class="title">Explainability of Point Cloud Neural Networks Using SMILE</h1> | ||
| <p class="subtitle">Statistical Model-Agnostic Interpretability with Local Explanations</p> | ||
| <div class="content"> | ||
| <img src="https://github.com/koo-ec/xwhy/blob/main/docs/graphics/XWhy_Logo_v1.png" alt="XWhy Logo"> | ||
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| <section class="section"> | ||
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| <h2 class="title is-3">Abstract</h2> | ||
| <p>This study explores the implementation of SMILE for Point Cloud offering enhanced robustness and interpretability, particularly when Anderson-Darling distance is used. The approach demonstrates superior performance in terms of fidelity loss, R<sup>2</sup> scores, and robustness across various kernel widths, perturbation numbers, and clustering configurations.</p> | ||
| <p>Additionally, a stability analysis using the Jaccard index establishes a benchmark for model stability in point cloud classification, identifying dataset biases crucial for safety-critical applications like autonomous driving.</p> | ||
| </div> | ||
| </section> | ||
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| <section class="section" id="BibTeX"> | ||
| <div class="container"> | ||
| <h2 class="title">BibTeX</h2> | ||
| <pre><code> | ||
| @article{aslansefat2024pointcloud, | ||
| title={Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations}, | ||
| author={Aslansefat, Koorosh and others}, | ||
| journal={IEEE Software}, | ||
| year={2024}, | ||
| publisher={IEEE} | ||
| } | ||
| </code></pre> | ||
| </div> | ||
| </section> | ||
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| <p>Licensed under <a href="http://creativecommons.org/licenses/by-sa/4.0/">CC BY-SA 4.0</a>. <a href="https://github.com/koo-ec/xwhy">Source Code</a>.</p> | ||
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