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ACM Task Force on Data Science Education: Draft Report and Opportunity for Feedback.

, , , and . SIGCSE, page 496-497. ACM, (2019)

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Sparse fuzzy techniques improve machine learning., , and . IFSA/NAFIPS, page 531-535. IEEE, (2013)Shall We Ignore All Intermediate Grades?, , and . Decision Making Under Uncertainty and Constraints, 217, Springer, (2023)Maximum Entropy in Support of Semantically Annotated Datasets., , and . URSW, volume 423 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)Why Grade Distribution Is Often Multi-modal: An Uncertainty-Based Explanation., , and . IFSA/NAFIPS, volume 1000 of Advances in Intelligent Systems and Computing, page 106-112. Springer, (2019)Mathematical Considerations in Two-Year Computing Degrees: The Evolution of Math in Curricular Guidelines., , , , and . SIGITE, page 209-212. ACM, (2023)Curricular and Pedagogical Considerations in Computer Science Education: The Role of Community Colleges for the Next Decade., , , , and . SIGCSE (1), page 1196-1201. ACM, (2024)How to Teach Recursion: A Formula to Transform an Iterative-Based to a Recursive-Based Method.. SIGCSE, page 1303. ACM, (2021)Fuzzy Information Processing Computing Curricula: A Perspective from the First Two-Years in Computing Education.. NAFIPS, volume 258 of Lecture Notes in Networks and Systems, page 391-399. Springer, (2021)Pre-Bachelor's Curricular Guidance For Cybersecurity Programs., , , , and . ITiCSE, page 562. ACM, (2020)How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies., , , , and . Time Series Analysis, Modeling and Applications, volume 47 of Intelligent Systems Reference Library, Springer, (2013)