main webpage W Topic Computer Science arXiv (Cornell University) Weakly Supervised Anomaly Detection via Knowledge-Data Alignment 2024 Anomaly detection (AD) plays a pivotal role in numerous web-based applications, including malware detection, anti-money laundering, device failure detection, and network fault analysis. Most methods, which rely on unsupervised learning, are hard to reach sati… Article Open Computer Science Open Article Page

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Study of computation Computer science is the study of computation, information, and automation. Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines (including the design and implementation of hardware and software). Algorithms and data structures are central to computer science. The theory of computation concerns abstract models of computation and general classes of problems that can be solved using them. The fields of cryptography and computer security involve studying the means for secure communication and preventing security vulnerabilities. Computer graphics and computational geometry address the generation of images. Critical Symbolic Virtual Narrative Open Computer Science Open Article Page

Exploring foci of: arXiv (Cornell University) Weakly Supervised Anomaly Detection via Knowledge-Data Alignment 2024 Anomaly detection (AD) plays a pivotal role in numerous web-based applications, including malware detection, anti-money laundering, device failure detection, and network fault analysis. Most methods, which rely on unsupervised learning, are hard to reach satisfactory detection accuracy due to the lack of labels. Weakly Supervised Anomaly Detection (WSAD) has been introduced with a limited number of labeled anomaly samples to enhance model performance. Nevertheless, it is still challenging for models, trained on an… Open Article Page

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Explore Computer Science W Topic Computer Science arXiv (Cornell University) Weakly Supervised Anomaly Detection via Knowledge-Data Alignment 2024 Anomaly detection (AD) plays a pivotal role in numerous web-based applications, including malware detection, anti-money laundering, device failure detection, and network fault analysis. Most methods, which rely on unsupervised learning, are hard to reach sati… Article Critical Symbolic Virtual Narrative Open Computer Science Open Article Page