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https://www.nist.gov/publications/explainable-machine-learning-based-flashover-prediction-model-using-dimension-wise

Explainable Machine Learning Based Flashover Prediction Model Using Dimension-Wise Class Activation...

This paper presents the development of an explainable machine learning based flashover prediction model, named xFlashNet.

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https://www.mdpi.com/2073-4441/15/12/2298

Coupling Machine and Deep Learning with Explainable Artificial Intelligence for Improving...

Recently, machine learning (ML) and deep learning (DL) models based on artificial intelligence (AI) have emerged as fast and reliable tools for predicting...

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https://pubmed.ncbi.nlm.nih.gov/34534619/

Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology

Many clinicians remain wary of machine learning because of longstanding concerns about "black box" models. "Black box" is shorthand for models that are...

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https://arxiv.org/abs/2502.04918

[2502.04918] Explainable and externally validated machine learning for neurocognitive diagnosis via...

Abstract page for arXiv paper 2502.04918: Explainable and externally validated machine learning for neurocognitive diagnosis via electrocardiograms

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https://www.xing.com/profile/AyeshaFazal_Lashkarwala

Ayesha Fazal Lashkarwala - Student Assistant - Explainable Machine Learning - Brandenburgische...

Ayesha Fazal Lashkarwala, Cottbus Professional experience, contact details, portfolio, etc.: Find out more or get in touch with Ayesha Fazal Lashkarwala on...

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https://www.kth.se/om/upptack/kalender/disputationer/addressing-shortcomings-of-explainable-machine-learning-methods-1.1380134

Addressing Shortcomings of Explainable Machine Learning Methods | KTH

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https://www.thoughtworks.com/en-de/insights/blog/machine-learning-and-ai/making-machine-learning-transparent-and-explainable-with-explainerdashboard

Making machine learning transparent and explainable with explainerdashboard | Thoughtworks Germany

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