Search alternatives:
correction algorithm » detection algorithm (Expand Search), selection algorithm (Expand Search), compression algorithms (Expand Search)
learned correction » gene correction (Expand Search)
correction algorithm » detection algorithm (Expand Search), selection algorithm (Expand Search), compression algorithms (Expand Search)
learned correction » gene correction (Expand Search)
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Supplementary data for "Algorithm-level data-guided correction for class imbalance in biological machine learning predictions: Protein interactions as a case"
Published 2025“…Correct and efficient use of algorithm-level methods, on the other hand, needs paying heed to data structure and content. …”
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Deliverable De6 of the research project “BEnefiTTing from machine lEarning algoRithms and concepts for correcting satellite RAINfall products” (BETTER RAIN)
Published 2024“…This workshop was held online on Tuesday 10 September 2024 between 09:00 and 15:20 (CEST), and it was an activity of the research project BETTER RAIN (BEnefiTTing from machine lEarning algoRithms and concepts for correcting satellite RAINfall products). …”
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Effects of processing rate and algorithms performance on estimates of biodiversity.
Published 2025Subjects: -
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Color correction methods used for enhancing underwater images and related articles.
Published 2025Subjects: -
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Challenges faced by the color correction methods used for enhancing underwater images.
Published 2025Subjects: -
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Data Sheet 1_Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis.pdf
Published 2025“…The system includes a hardware device to provide a stable acquisition environment, an improved semi-supervised learning segmentation algorithm based on U2net, a high-performance colour correction module for standardising the segmented images, and a tongue image analysis algorithm that fuses different features according to the characteristics of each feature of the TCM tongue image. …”
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Uncertainty quantification and focus on extreme events in satellite precipitation data correction using machine learning
Published 2024“…<p dir="ltr">We summarize recent studies that introduced and extensively compared a large number of machine learning algorithms (distributional regression as well as quantile regression) and their multiple combinations for quantifying predictive uncertainty while correcting satellite precipitation products. …”
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