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  1. 1

    Optimization algorithms for multivariate sampling reduction using spatial-temporal data by Tamara Cantú Maltauro, Luciana Pagliosa Carvalho Guedes, Miguel Angel Uribe-Opazo

    Published 2025-08-01
    “…These zones can be defined by cluster methods and one of their advantages is to direct the determination of a future soil sampling, with a possible sample reduction. This study aimed to propose a methodology that integrates multivariate and space-time analyses to obtain an optimized sample configuration, using spatio-temporal data and application zones. …”
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  2. 2

    Localization algorithm for large-scale wireless sensor networks based on FCMTSR-support vector machine by Fang Zhu, Junfang Wei

    Published 2016-10-01
    “…In order to solve these problems, this article proposed a novel scale of training sample reduction method (FCMTSR). FCMTSR takes the training sample as point set, get the potential support vectors, and remove the non-boundary outlier data immixed by analyzing relationships between points and set. …”
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  3. 3

    Winemaking terroir – the guideline for choosing of grape rootstocks for soils with different characteristics by А. А. Averianov, E. D. Androsova, A. V. Rusakov

    Published 2023-10-01
    “…In total 20 the most common commercial varieties of rootstocks were considered for each selected soil area. The sample reduction scenario, based on the prioritization of the above stressors, reduced the number of varieties considered to three variants: 1103 Paulsen, 140 Ruggeri, and Fercal, which were scored against each other and considering the local terroir conditions of the plot, for further comparison in terms of market and logistics in making the final design decision.…”
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  4. 4

    A phase 2, double-blind, placebo-controlled trial of a valproate/lithium combination in ALS patients by M.-C. Boll, M. Alcaraz-Zubeldia, C. Rios, D. González-Esquivel, S. Montes

    Published 2025-01-01
    “…Survival rate, body weight, and quality of life were positive outcomes by the end of the trial despite a high sample reduction, especially in the placebo group. The inclusion of 212 subjects in each group would confirm these differences. …”
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  5. 5

    A phase 2, double-blind, placebo-controlled trial of a valproate/lithium combination in ALS patients by M.-C. Boll, M. Alcaraz-Zubeldia, C. Rios, D. González-Esquivel, S. Montes

    Published 2025-01-01
    “…Survival rate, body weight, and quality of life were positive outcomes by the end of the trial despite a high sample reduction, especially in the placebo group. The inclusion of 212 subjects in each group would confirm these differences. …”
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    Article
  6. 6

    Enhancing Autism Detection Through Gaze Analysis Using Eye Tracking Sensors and Data Attribution with Distillation in Deep Neural Networks by Federica Colonnese, Francesco Di Luzio, Antonello Rosato, Massimo Panella

    Published 2024-12-01
    “…This refinement process significantly improves both accuracy and computational efficiency, achieving a test accuracy of 94.35% while using only 77% of the dataset, showing that the proposed GBAC outperforms the same model trained on the full dataset and random sample reductions, as well as the benchmarks. Additionally, the data attribution analysis provides insights into the most influential training examples, offering a deeper understanding of how gaze patterns correlate with ASD-specific characteristics. …”
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  7. 7