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cs.LG2025
Frequency-Aware Model Parameter Explorer: A new attribution method for improving explainability
Ali Yavari, Alireza Mohamadi, Elham Beydaghi +2
State-of-the-art attribution methods such as AttEXplore rely on adversarial sample generation that applies an all-pass filter across the frequency spectrum: they perturb all freque…
cs.LG2024
An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes
Aigin Karimzadeh, Amir Zakery, Mohammadreza Mohammadi +1
Online customer data provides valuable information for product design and marketing research, as it can reveal the preferences of customers. However, analyzing these data using art…