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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
North American Chapter of the Association for Computational Linguistics, 2019We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language representation models (Peters et al., 2018a; Radford et al., 2018), BERT is designed to pre ...
Jacob Devlin +3 more
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Optimizing Supernova Classification: A Metric-Aware Approach with PR-AUC and F1-score
Anurag Garg
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Food Chemistry
Individual detection techniques cannot guarantee accurate and reliable results when combatting the presence of adulterated lamb meat in the market. Here, we propose an approach combining the electronic nose and near-infrared spectroscopy fusion data with machine learning methods to effectively detect adulterated lamb meat (mixed with duck meat).
Wenshen Jia +2 more
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Individual detection techniques cannot guarantee accurate and reliable results when combatting the presence of adulterated lamb meat in the market. Here, we propose an approach combining the electronic nose and near-infrared spectroscopy fusion data with machine learning methods to effectively detect adulterated lamb meat (mixed with duck meat).
Wenshen Jia +2 more
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On kNN Class Weights for Optimising G-Mean and F1-Score
2023Grzegorz Góra, Andrzej Skowron
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2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3), 2023
G R S Naga Kumar +2 more
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G R S Naga Kumar +2 more
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Predicting F1-Scores of Classifiers in Network Intrusion Detection Systems
2024 33rd International Conference on Computer Communications and Networks (ICCCN)Priscila Silva +5 more
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