Including results for Towards best practice in explanation neural network decisions with LRP
Sep 25, 2024 ， Instead of relying on gradients, LRP distributes the output of the final layer back through the network to calculate relevance scores for each neuron. This ...
Sep 22, 2024 ， One requirement is that decisions of ML systems in high-risk applications should be human-understandable. The field of ＾explainable artificial intelligence￣ ( ...
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Sep 18, 2024 ， In this review, we present a quantitative analysis of the challenges arising when designing interpretable deep learning solutions in functional genomics.
Sep 19, 2024 ， LRP is specifically applied to the generator component ... Towards better understanding of gradient-based attribution methods for deep neural networks.
Sep 18, 2024 ， In this study, we explore the integration of Explainable Artificial Intelligence (XAI) with deep learning models to enhance the detection of Advanced Persistent ...
Sep 18, 2024 ， By backpropagating the model prediction in a neural network, layer-wise relevance propagation (LRP) [22], an alternative technique, awards relevance scores to ...
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Sep 19, 2024 ， This research proposes a novel global post-hoc explainable method for unearthing the key time steps behind the inferences made by deep learning-based time ...
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Sep 26, 2024 ， A curated collection of guides and tutorials that simplify responsible ML implementation. It spans from basic model interpretability to advanced fairness ...
Oct 3, 2024 ， These methods utilize additional explanation models or algorithms to provide insights into the decision-making process of the primary AI model. In the field of ...
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Sep 19, 2024 ， XAI is a combination of tools and approaches meant to make artificial intelligence systems more transparent and understandable to human users.
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