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Showing 1 to 3 of 3 for “"Gold-standard Datasets"”.

  1. Spam Review Detection Using Self-Organizing Maps and Convolutional Neural Networks

    … then classification. Comprehensive tests on two gold-standard datasets show the effectiveness of the proposed method on single and multi-domain contexts. Observing our results, we deducted that using GloVe 300-dimensional embedding and higher resolution SOM grid maps, our method achieves very …

    windsor Repository record for Spam Review Detection Using Self-Organizing Maps and Convolutional Neural Networks (opens in a new tab)

  2. Benchmarking methods for label-free quantitative proteomics data analysis

    … tools for processing and analysing LFQ data. Gold-standard datasets play an essential role in the development and benchmarking of these tools. In this thesis, I will present methods for generating datasets to benchmark LFQ data analysis tools and highlight how Bayesian modelling paradigms can …

    cambridge Repository record for Benchmarking methods for label-free quantitative proteomics data analysis (opens in a new tab)

  3. Machine learning for social event analysis : public perceptions during COVID-19 and collective violence in South Africa

    … unrest in South Africa. The study produced two gold-standard datasets to support the findings. Humans created one dataset, while a pre-trained language model generated the other. The production process is outlined to demonstrate reproducibility in other scenarios. The datasets are a valuable …

    pretoria Repository record for Machine learning for social event analysis : public perceptions during COVID-19 and collective violence in South Africa (opens in a new tab)