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AFAgarap/malware-classification v0.1-alpha

Abien Fred Agarap


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{
  "@context": "https://schema.org/", 
  "@id": "https://doi.org/10.5281/zenodo.1134207", 
  "@type": "SoftwareSourceCode", 
  "codeRepository": "https://github.com/AFAgarap/malware-classification/tree/v0.1-alpha", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "@ACOMSS-Coders", 
      "name": "Abien Fred Agarap"
    }
  ], 
  "datePublished": "2017-12-31", 
  "description": "<p>Code implementation of &quot;Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification&quot;</p>", 
  "identifier": "https://doi.org/10.5281/zenodo.1134207", 
  "inLanguage": {
    "@type": "Language", 
    "alternateName": "eng", 
    "name": "English"
  }, 
  "keywords": [
    "artificial intelligence", 
    "artificial neural networks", 
    "classification", 
    "computer vision", 
    "convolutional neural networks", 
    "deep learning", 
    "gated recurrent unit", 
    "machine learning", 
    "malware detection", 
    "multilayer perceptron", 
    "recurrent neural network", 
    "supervised learning", 
    "support vector machine", 
    "tensorflow"
  ], 
  "license": "http://www.opensource.org/licenses/Apache-2.0", 
  "name": "AFAgarap/malware-classification v0.1-alpha", 
  "url": "https://zenodo.org/record/1134207", 
  "version": "v0.1-alpha"
}

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