Call for papers for JDSSV Special Issue on Explainable Machine and Statistical Learning
For this special issue, we call for papers treating themes related to the modeling and analysis of complex data (structured, non-structured, mixed), using data analytics, statistical learning, and machine learning methods. Submissions are encouraged that propose novel approaches and visualization tools to provide the explainability of such models, particularly in real applications. Finally, papers emphasizing multidisciplinary topics are especially welcome. Submission is open until July 31, 2023.
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