Search Results - "Computing methodologies Machine learning Machine learning approaches Neural networks"

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  1. 1

    AaceGEN: Attention Guided Adversarial Code Example Generation for Deep Code Models by Li, Zhong, Zhang, Chong, Pan, Minxue, Zhang, Tian, Li, Xuandong

    ISSN: 2643-1572
    Published: ACM 27.10.2024
    “…Adversarial code examples are important to investigate the robustness of deep code models. Existing work on adversarial code example generation has shown…”
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    Conference Proceeding
  2. 2

    On-the-fly Improving Performance of Deep Code Models via Input Denoising by Tian, Zhao, Chen, Junjie, Zhang, Xiangyu

    ISSN: 2643-1572
    Published: IEEE 11.09.2023
    “…Deep learning has been widely adopted to tackle various code-based tasks by building deep code models based on a large amount of code snippets. While these…”
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    Conference Proceeding
  3. 3

    Safe DNN-type Controller Synthesis for Nonlinear Systems via Meta Reinforcement Learning by Zhao, Hanrui, Zeng, Xia, Qi, Niuniu, Yang, Zhengfeng, Zeng, Zhenbing

    Published: IEEE 09.07.2023
    “…) controllers for nonlinear systems subject to safety constraints. Our approach incorporates two phases…”
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    Conference Proceeding
  4. 4

    Convolutional Neural Networks for Biomedical Text Classification: Application in Indexing Biomedical Articles by Rios, Anthony, Kavuluru, Ramakanth

    Published: United States 01.09.2015
    “…) outperforms several traditional approaches in biomedical text classification with the specific use-case of assigning medical subject headings (or MeSH terms…”
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    Journal Article
  5. 5

    Accurate Body Pose Matching for Individuals with Stroke using Siamese Networks by Gokhman, Ruslan, Sawdayi, Talya, Khan, Rana, Satyanarayana, Ashwin, Vinjamuri, Ramana, Kadiyala, Sai Praveen

    ISSN: 2832-2975
    Published: IEEE 19.06.2024
    “…Stroke is one of the major causes of long-term disability in United States. With more than 800,00 people experiencing stroke every year, it is important that efficient means for recovery are presented to support stroke subjects…”
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    Conference Proceeding
  6. 6

    Reliable In-Memory Neuromorphic Computing Using Spintronics by Munch, Christopher, Bishnoi, Rajendra, Tahoori, Mehdi B.

    ISSN: 2153-697X
    Published: ACM 21.01.2019
    “…), is developed using magnetic layers that requires new fabrication materials and processes. Due to complexities of fabrication steps and materials, MTJ cells are subject to various failure mechanisms…”
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    Conference Proceeding
  7. 7

    GraphConfRec: A Graph Neural Network-Based Conference Recommender System by Iana, Andreea, Paulheim, Heiko

    Published: IEEE 01.09.2021
    “…In today's academic publishing model, especially in Computer Science, conferences commonly constitute the main platforms for releasing the latest peer-reviewed…”
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    Conference Proceeding
  8. 8

    Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks by Choudhary, Anirudh, Wu, Hang, Tong, Li, Wang, May D

    Published: 04.09.2019
    “…Stain normalization is a crucial pre-processing step for histopathological image processing, and can help improve the accuracy of downstream tasks such as…”
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    Journal Article
  9. 9

    Architecture of a cyberphysical avatar by Han, Song, Mok, Aloysius K., Meng, Jianyong, Wei, Yi-Hung, Huang, Pei-Chi, Leng, Quan, Zhu, Xiuming, Sentis, Luis, Kim, Kwan Suk, Miikkulainen, Risto

    ISBN: 1450319963, 9781450319966
    Published: New York, NY, USA ACM 08.04.2013
    “…This paper introduces the concept of a cyberphysical avatar which is defined to be a semi-autonomous robotic system that adjusts to an unstructured environment and performs physical tasks subject…”
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    Conference Proceeding
  10. 10

    Head-Pose Invariant Facial Expression Recognition Using Convolutional Neural Networks by Fasel, Beat

    ISBN: 9780769518343, 0769518346
    Published: Washington, DC, USA IEEE Computer Society 14.10.2002
    “…, which allow for improved facial expression recognition results with faces subject to in-plane pose variations…”
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  11. 11

    Digitally Evolving Models for Dynamically Adaptive Systems by Goldsby, Heather J., Knoester, David B., Cheng, Betty H. C., McKinley, Philip K., Ofria, Charles A.

    ISBN: 0769529739, 9780769529738
    ISSN: 2157-2305
    Published: Washington, DC, USA IEEE Computer Society 20.05.2007
    “… In digital evolution, a population of selfreplicating computer programs exists in a user-defined computational environment and is subject to instruction-level mutations and natural selection…”
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    Conference Proceeding