Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2023; 24th International C Paulo Quaresma,David Camacho,Antonio J. Tallón-Bal C - BOOKS with Alphabet I (Ia, Ib,Ic, Id, Ie…... ) - 派博传思国际中心

新石器时代 发表于 2025-3-21 16:10:11

书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2023影响因子(影响力) http://figure.impactfactor.cn/if/?ISSN=BK0469596 书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2023影响因子(影响力)学科排名 http://figure.impactfactor.cn/ifr/?ISSN=BK0469596 书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2023网络公开度 http://figure.impactfactor.cn/at/?ISSN=BK0469596 书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2023网络公开度学科排名 http://figure.impactfactor.cn/atr/?ISSN=BK0469596 书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2023被引频次 http://figure.impactfactor.cn/tc/?ISSN=BK0469596 书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2023被引频次学科排名 http://figure.impactfactor.cn/tcr/?ISSN=BK0469596 书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2023年度引用 http://figure.impactfactor.cn/ii/?ISSN=BK0469596 书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2023年度引用学科排名 http://figure.impactfactor.cn/iir/?ISSN=BK0469596 书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2023读者反馈 http://figure.impactfactor.cn/5y/?ISSN=BK0469596 书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2023读者反馈学科排名 http://figure.impactfactor.cn/5yr/?ISSN=BK0469596

朦胧发表于 2025-3-21 23:52:35

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Petechiae 发表于 2025-3-22 01:53:27

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Oscillate 发表于 2025-3-22 07:12:46

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蜿蜒而流 发表于 2025-3-22 08:45:25

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旧石器 发表于 2025-3-22 13:51:21

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枯萎将要 发表于 2025-3-22 22:51:58

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jumble 发表于 2025-3-23 02:31:32

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GIBE 发表于 2025-3-23 06:04:46

Evaluating Text Classification in the Legal Domain Using BERT Embeddingss, SVM, neural networks, CNNs, and deep learning architectures. Despite BERT’s state-of-the-art capabilities, TF-IDF outperformed neural techniques across considered metrics. High similarity between certain classes was hypothesized to hinder BERT’s contextual embedding.

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