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CNN Based Yeast Cell Segmentation in Multi-modal Fluorescent Microscopy Data.

, , , , and . CVPR Workshops, page 753-759. IEEE Computer Society, (2017)

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KML: Using Machine Learning to Improve Storage Systems., , , , , , , and . CoRR, (2021)Towards making videos accessible for low vision screen magnifier users., , , and . IUI, page 10-21. ACM, (2020)Breaking the Accessibility Barrier in Non-Visual Interaction with PDF Forms., , , and . PACMHCI, 4 (EICS): 80:1-80:16 (2020)Improving Storage Systems Using Machine Learning., , , , , and . ACM Trans. Storage, 19 (1): 9:1-9:30 (February 2023)Modeling Gliding-based Target Selection for Blind Touchscreen Users., , , , , , , , and . MobileHCI, page 29:1-29:14. ACM, (2021)A saliency-driven video magnifier for people with low vision., , , and . W4A, page 6:1-6:2. ACM, (2020)Çok boyutlu veriden rastgele ormanlar ile düşük karmaşıklıklı güdümsüz öğrenme., , and . SIU, page 2229-2232. IEEE, (2014)A Machine Learning Framework to Improve Storage System Performance., , , , and . HotStorage, page 94-102. ACM / USENIX Association, (2021)CNN Based Yeast Cell Segmentation in Multi-modal Fluorescent Microscopy Data., , , , and . CVPR Workshops, page 753-759. IEEE Computer Society, (2017)Ontology-Driven Transformations for PDF Form Accessibility., , , and . ASSETS, page 94:1-94:3. ACM, (2020)