Interpretable Artificial Intelligence: A Perspective of Granular Computing

Visualizing the Behavior of Convolutional Neural Networks for Time Series Forecasting.- Beyond Deep Event Prediction: Deep Event Understanding based on Explainable Artificial Intelligence.- Interpretation of SVM to build an Explainable AI via Granular Computing.- Factual and Counterfactual Explanation of Fuzzy Information Granules.- Survey of Explainable Machine Learning with Visual and Granular Methods beyond Quasi-explanations.- MiBeX: Malware-inserted Benign Datasets for Explainable Machine Learning.- A Generative Model Based Approach for Zero-shot Breast Cancer Segmentation Explaining Pixels' Contribution to the Model's Prediction.