Results 111 to 120 of about 17,625 (278)
Citation: 'undersampling' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.08297 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms. Requests for
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Undersampling techniques for large datasets
DNA-Encoded Libraries allow for an efficient approach to synthesize and screen billions of small molecules against a target of interest. With more real-world binding data, this can improve training of machine learning models. However, one key challenge in DELs is the severe imbalances between the classes, in other words, there are ...
Lexin Chen, Ramon Alain Miranda Quintana
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PLANTS, PEOPLE, PLANET, EarlyView.The use of wild edible plants and the traditional knowledge associated with them are rapidly disappearing across the Mediterranean, with serious consequences for biodiversity, cultural heritage, and regional food security. This study compiles and organizes fragmented information to create the first comprehensive catalogue of these plants across the ...
Benedetta Gori +5 more
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Hybrid Oversampling and Undersampling Method (HOUM) via Safe-Level SMOTE and Support Vector Machine
Applied SciencesThe improvements in collecting and processing data using machine learning algorithms have increased the interest in data mining. This trend has led to the development of real-life decision support systems (DSSs) in diverse areas such as biomedical ...
Duygu Yilmaz Eroglu, Mestan Sahin Pir
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A structurally localized ensemble Kalman filtering approach
Quarterly Journal of the Royal Meteorological Society, EarlyView.We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih +1 more
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On the relative importance of the hot stove effect and the tendency to rely on small samples
Judgment and Decision Making, 2009 Experiments have suggested that decisions from experience differ from decisions from description. In experience-based decisions, the decision makers often fail to maximise their payoffs. Previous authors have ascribed the effect of underweighting of rare
Takemi Fujikawa
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SFMR Surface Wind Undersampling over the Tropical Cyclone Life Cycle
, 2019 Surface wind speeds in tropical cyclones are important for defining current intensity and intensification. Traditionally, airborne observations provide the best information about the surface wind speeds, with the Stepped Frequency Microwave Radiometer ...
Nolan, David S, Klotz, Bradley W
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Remote Sensing in Ecology and Conservation, EarlyView.This study demonstrates that the mobile laser scanning (MLS) sampling density required to reliably characterise vegetation structure increases with a site's structural complexity. Applying a five‐level acquisition framework across open woodland, closed forest and sub‐alpine woodland ecosystems, we found that longer scanning paths increased the ...
Johann Tiede +3 more
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IEEE Open Journal of the Computer SocietyMicroservice architecture has emerged as a leading paradigm for decomposing large monolithic applications into smaller, autonomous services. Although this approach offers many advantages, its complexity, distributed nature, and substantial scale create ...
Luis M. Barata +3 more
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Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification
, 2023 While a broad range of techniques have been proposed to tackle distribution shift, the simple baseline of training on an $\textit{undersampled}$ balanced dataset often achieves close to state-of-the-art-accuracy across several popular benchmarks. This is
Hashimoto, Tatsunori +2 more
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