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Query by Image Content using Multiple Objects and Multiple Features: Use Interface Issues.

, , , , , and . ICIP (2), page 76-80. IEEE Computer Society, (1994)

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Towards Heterogeneous Multimedia Information Systems: The Garlic Approach., , , , , , , , , and 3 other author(s). RIDE-DOM, page 124-131. IEEE Computer Society, (1995)On improving the accuracy of the Hough transform., and . Mach. Vis. Appl., 3 (2): 87-106 (1990)Using Learning Analytics to Assess Capstone Project Teams.. IEEE Computer, 49 (1): 80-83 (2016)Using the random forest classifier to assess and predict student learning of Software Engineering Teamwork., , , , , , and . FIE, page 1-7. IEEE Computer Society, (2016)Efficient and Effective Querying by Image Content., , , , , , and . J. Intell. Inf. Syst., 3 (3/4): 231-262 (1994)Machine learning and deep analytics for biocomputing: Call for better explainability., , and . PSB, page 623-627. (2018)Recent applications of IBM's query by image content (QBIC)., , , , , , , , , and 8 other author(s). SAC, page 2-6. ACM, (1996)SETAP: Software engineering teamwork assessment and prediction using machine learning., , , , , , , , and . FIE, page 1-8. IEEE Computer Society, (2014)Teaching practical software engineering and global software engineering: evaluation and comparison., , and . ITiCSE, page 294-298. ACM, (2006)Assessment and comparison of local and global SW engineering practices in a classroom setting., , and . ITiCSE, page 78-82. ACM, (2008)