Today's article comes from the journal of Applied Artificial Intelligence. The authors are Tzionis et al., from the Center For Research and Technology Hellas (CERTH), in Greece. In this paper they're trying to figure out how we can make feature-importance methods more robust and reliable when dealing with noisy, complex industrial data.
DOI: 10.1080/08839514.2025.2515062
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