<ul><li>Counterfactual explanations provide an intuitive way to understand model decisions by identifying minimal changes required to alter an outcome.</li><li>MASCOTS is a method that leverages the Bag-of-Receptive-Fields representation alongside symbolic transformations to enhance interpretability while preserving fidelity to the original data and model.</li><li>MASCOTS directly generates meaningful and diverse counterfactual observations in a model-agnostic manner, operating on both univariate and multivariate data.</li><li>MASCOTS improves interpretability and sparsity, allowing for explanations in visual, natural language, or semantic representations.</li></ul>

MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series

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