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Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation.

, , , , , , , , and . IbPRIA (1), volume 11867 of Lecture Notes in Computer Science, page 342-354. Springer, (2019)

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Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation., , , , , , , , and . IbPRIA (1), volume 11867 of Lecture Notes in Computer Science, page 342-354. Springer, (2019)A semi-automatic indexing system based on embedded information in HTML documents., , , , and . Libr. Hi Tech, 33 (2): 195-210 (2015)Thresholding Bandit with Optimal Aggregate Regret., , , and . NeurIPS, page 11659-11668. (2019)Enumerating polynomial colored permutation classes., and . ISSAC, page 283-291. ACM, (2024)Presentations of Coxeter groups of type A, B, and D using prefix-reversal generators., and . Appl. Algebra Eng. Commun. Comput., 35 (4): 433-454 (July 2024)CAT's: not just a furry friend. using active learning in your classrooms (abstract only)., , , , and . SIGCSE, page 731. ACM, (2014)The Logic of Hebbian Learning., , and . FLAIRS, (2022)Introducing Parallel Computing Concepts through a POGIL Activity: A Pilot Study., , , , and . SIGCSE, page 1386. ACM, (2020)Effects of Human vs. Automatic Feedback on Students' Understanding of AI Concepts and Programming Style., and . SIGCSE, page 44-50. ACM, (2020)What Do Hebbian Learners Learn? Reduction Axioms for Iterated Hebbian Learning., , and . AAAI, page 14894-14901. AAAI Press, (2024)