We present an XAI tool for time series classification providing model-agnostic instance-
based post-hoc explanations, by means of prototypes and counterfactuals. Additionally, our …

Despite the growing body of work on explainable machine learning in time series
classification (TSC), it remains unclear how to evaluate different explainability methods …

This paper explores the application of machine learning techniques to classify cognitive
processing operations using EEG data, contributing to the fields of cognitive neuroscience …

Abstract Given a Time Series Classifier (TSC) and three parameters that balance between
error, simplicity and robustness, we define an optimization problem over all possible ways of …