Search Results for author: Marta Oliveira

Found 2 papers, 1 papers with code

EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods

no code implementations • 20 May 2024 • Benedict Clark, Rick Wilming, Artur Dox, Paul Eschenbach, Sami Hached, Daniel Jin Wodke, Michias Taye Zewdie, Uladzislau Bruila, Marta Oliveira, Hjalmar Schulz, Luca Matteo Cornils, Danny Panknin, Ahcène Boubekki, Stefan Haufe

The evolving landscape of explainable artificial intelligence (XAI) aims to improve the interpretability of intricate machine learning (ML) models, yet faces challenges in formalisation and empirical validation, being an inherently unsupervised process.

Benchmarking Explainable artificial intelligence +1

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Benchmark data to study the influence of pre-training on explanation performance in MR image classification

1 code implementation • 21 Jun 2023 • Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe

Here, we propose a benchmark dataset that allows for quantifying explanation performance in a realistic magnetic resonance imaging (MRI) classification task.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +2

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