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Showing results for XAVIER the Savior: A Web Application for Interactive Explainable AI in Time Series Data.
XAIVIER, the eXplainable AI VIsual. Explorer and Recommender, is a web application for interactive XAI in time series data for machine learning experts. Due to ...
We review our experience with integrating Artificial Intelligence (AI) into healthcare systems following the Model-Driven Development (MDD) approach. At a time ...
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Apr 2, 2021 · This paper presents an overview of existing explainable AI (XAI) methods applied on time series and illustrates the type of explanations they produce.
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Apr 2, 2021 · In this paper, we present an overview of existing explainable AI (XAI) methods applied on time series and illustrate the type of explanations they produce.
Missing: XAVIER Savior: Interactive
We describe design, scope and usage examples of this Python toolbox in this paper. The toolbox provides functionality for inspecting fairness, accountability ...
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In this work, we (a) present the first extensive literature review on Explainable AI (XAI) for time series classification, (b) categorize the research field ...
Sep 16, 2019 · This work presents a methodology to test and evaluate various XAI methods on time series by introducing new verification techniques to incorporate the temporal ...
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In this work, we (a) present the first extensive literature review on Explainable AI (XAI) for time series classification, (b) categorize the research field ...
Aug 23, 2018 · This paper focuses on identifying unique attributes, constraints and potential best practices towards what might represent “good” development ...
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