Suchergebnisse - "Computing methodologies Machine learning Machine learning approaches Kernel methods"

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  1. 1

    MAGIKA: AI-Powered Content-Type Detection von Fratantonio, Yanick, Invernizzi, Luca, Farah, Loua, Thomas, Kurt, Zhang, Marina, Albertini, Ange, Galilee, Francois, Metitieri, Giancarlo, Cretin, Julien, Petit-Bianco, Alex, Tao, David, Bursztein, Elie

    ISSN: 1558-1225
    Veröffentlicht: IEEE 26.04.2025
    “… The task of content-type detection-which entails identifying the data encoded in an arbitrary byte sequence-is critical for operating systems, development, …”
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  2. 2

    Finding Ethereum Smart Contracts Security Issues by Comparing History Versions von Chen, Jiachi

    ISSN: 2643-1572
    Veröffentlicht: ACM 01.09.2020
    “… Smart contracts are Turing-complete programs running on the blockchain. They cannot be modified, even when bugs are detected. The Selfdestruct function is the …”
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  3. 3

    When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection von Wen, Xin-Cheng, Wang, Xinchen, Gao, Cuiyun, Wang, Shaohua, Liu, Yang, Gu, Zhaoquan

    ISSN: 2643-1572
    Veröffentlicht: IEEE 11.09.2023
    “… Automated code vulnerability detection has gained increasing attention in recent years. The deep learning (DL)-based methods, which implicitly learn vulnerable …”
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  4. 4

    LA-MTL: Latency-Aware Automated Multi-Task Learning von Sampath, Shambhavi Balamuthu, Sawani, Sami, Thoma, Moritz, Frickenstein, Lukas, Mori, Pierpaolo, Fasfous, Nael, Vemparala, Manoj Rohit, Frickenstein, Alexander, Schlichtmann, Ulf, Passerone, Claudio, Stechele, Walter

    Veröffentlicht: IEEE 22.06.2025
    “… Multi-Task Learning (MTL) aims to unify a variety of tasks into a single network for improved training and inference efficiency. This is particularly …”
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  5. 5

    Function-Level Vulnerability Detection Through Fusing Multi-Modal Knowledge von Ni, Chao, Guo, Xinrong, Zhu, Yan, Xu, Xiaodan, Yang, Xiaohu

    ISSN: 2643-1572
    Veröffentlicht: IEEE 11.09.2023
    “… Software vulnerabilities damage the functionality of software systems. Recently, many deep learning-based approaches have been proposed to detect …”
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  6. 6

    Scalable Industrial Control System Analysis via XAI-Based Gray-Box Fuzzing von Kur, Justin, Chen, Jingshu, Huang, Jun

    ISSN: 2643-1572
    Veröffentlicht: IEEE 11.09.2023
    “… Conventional approaches to analyzing industrial control systems have relied on either white-box analysis or black-box fuzzing. However, white-box methods rely …”
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  7. 7

    MCBound: An Online Framework to Characterize and Classify Memory/Compute-bound HPC Jobs von Antici, Francesco, Bartolini, Andrea, Kiziltan, Zeynep, Babaoglu, Ozalp, Kodama, Yuetsu

    Veröffentlicht: IEEE 17.11.2024
    “… Modern High-Performance Computing (HPC) systems play a fundamental role in driving scientific research, as they execute computationally intensive jobs …”
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  8. 8

    Optimizing Uncertainty Estimation on Scientific Visualizations Using Learning Models von Almeida, Clara J., Guerrero-Pantoja, David, Pautsch, Erik, Rizzi, Silvio, Thiruvathukal, George K., Pantoja, Maria

    Veröffentlicht: IEEE 17.11.2024
    “… Scientific visualizations (SciVis) translate numerical and spatial data as images, enabling scientists to better understand the phenomena described by the data …”
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  9. 9

    Using Static Analysis to Aid Monolith to Microservice System Transformation: Tuning Fuzzy c-Means in a VAE-Based GNN Approach von Sooksatra, Korn, Hossain Chy, Md Showkat, Arju, Md Ashfakur Rahman, Cerny, Tomas, Rivas, Pablo

    ISSN: 2151-0849
    Veröffentlicht: ACM 27.10.2024
    “… Transitioning from monolithic systems to cloud-native based on microservice architecture is essential for organizations facing dynamic technological shifts and …”
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  10. 10

    hws: A Tool for Monitoring Hardware Metrics Across Diverse Vendors: A Case Study on Hyperparameter Optimization Algorithms von Breyer, Marcel, Van Craen, Alexander, Domanski, Peter, Pfluger, Dirk

    Veröffentlicht: IEEE 17.11.2024
    “… Due to modern hardware's constantly growing energy demands, it is important to consider energy efficiency and power consumption. Especially in the age of AI, …”
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  11. 11

    Geometry-oblivious FMM for compressing dense SPD matrices von Yu, Chenhan D., Levitt, James, Reiz, Severin, Biros, George

    ISBN: 9781450351140, 145035114X
    ISSN: 2167-4337
    Veröffentlicht: New York, NY, USA ACM 12.11.2017
    “… We present GOFMM (geometry-oblivious FMM), a novel method that creates a hierarchical low-rank approximation, or "compression," of an arbitrary dense symmetric …”
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  12. 12

    Identifying On-time Reward Delivery Projects with Estimating Delivery Duration on Kickstarter von Tran, Thanh, Lee, Kyumin, Vo, Nguyen, Choi, Hongkyu

    ISBN: 1450349935, 9781450349932
    Veröffentlicht: New York, NY, USA ACM 31.07.2017
    “… In Crowdfunding platforms, people turn their prototype ideas into real products by raising money from the crowd, or invest in someone else's projects. In …”
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