Few-shot cyberviolence intent classification with Meta-learning AutoEncoder based on adversarial domain adaptation

Shun Yang; YaJun Du; S. X. Du; Xianyong Li; Xiaoliang Chen; Yanli Li; Chunzhi Xie; Jia Liu

doi:10.1016/j.neucom.2024.129089

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Few-shot cyberviolence intent classification with Meta-learning AutoEncoder based on adversarial domain adaptation

Shun Yang YaJun Du S. X. Du Xianyong Li Xiaoliang Chen Yanli Li Chunzhi Xie Jia Liu

Year: 2024 Journal: Neurocomputing Vol: 620 Pages: 129089-129089 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2024.129089

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Keywords:

Autoencoder Adversarial system Artificial intelligence Domain adaptation Computer science Adaptation (eye) Meta learning (computer science) Domain (mathematical analysis) Shot (pellet) Machine learning Pattern recognition (psychology) Deep learning Mathematics Classifier (UML) Psychology Engineering

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Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Hate Speech and Cyberbullying Detection

Physical Sciences → Computer Science → Artificial Intelligence

Few-shot cyberviolence intent classification with Meta-learning AutoEncoder based on adversarial domain adaptation

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