Now showing items 1-3 of 3

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      Building hybrid classical-quantum classifiers to deal with unbalanced datasets 

      Lizarralde Imaz, Unai (2022-12-23)
      Quantum circuits offer a different approach to process data through quantum operations and measurements of quantum states. At the same time, the increasing number of advances in technology has opened a path to turning these ...
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      GowFed: a novel federated intrusion detection system for IoT devices 

      Belenguer Rodríguez, Aitor (2022-12-23)
      [EN] Intrusion detection systems are evolving into intelligent systems that perform data analysis while searching for anomalies in their environment. The development of deep learning techinques paved the way to build more ...
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      Tensor Decompositions for Neural Networks Compression 

      Sainz de la Maza Gamboa, Unai (2024-07-09)
      As the demand for deploying machine learning models on resource-constrained devices grows, neural network compression has become an important area of research. Tensor decomposition is a promising technique for compressing ...