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  • Universidade Federal do Rio Grande do Sul
  • Porto Alegre, Brazil

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jchambyd/README.md
  • 👋 Hi, I’m Jorge Chamby-Diaz (@jchambyd), a Ph.D. student at the Federal University of Rio Grande do Sul (Brazil), a Researcher in the Multi-Agent Systems research group (MASLAB), a Machine Learning Engineer at Cloud2Go company, and a Data Science Professor at Ada Tech.
  • 👀 My main research area is Machine Learning, especially data streams, concept-drift, ensemble methods, and complex networks.
  • 🌱 My research is highly interdisciplinary. Therefore, despite my goal to generate new advances in Machine Learning, I strongly focus on promoting its application in Recommendation Systems and Predictive Models to solve challenging and significant problems.

Popular repositories

  1. FIGMN FIGMN Public

    Fast Incremental Gaussian Mixture Network

    Java 4 1

  2. FIGMN-C FIGMN-C Public

    Fast Incremental Gaussian Mixture Networks

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  3. IGMN-NSE IGMN-NSE Public

    Incremental Gaussian Mixture Network for Non-Stationary Environments

    Java 4

  4. LFDD LFDD Public

    Landmark-based Feature Drift Detector

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  5. IGMN IGMN Public

    Incremental Gaussian Mixture Network

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  6. FeatureSelection FeatureSelection Public

    Algorithms for feature selection based on covariance matrix.

    Java 1 2