• Feature Selection With Limited Bit Depth Mutual Information for Embedded Systems 

      Morán-Fernández, Laura; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (MDPI AG, 2018-09-17)
      [Abstract] Data is growing at an unprecedented pace. With the variety, speed and volume of data flowing through networks and databases, newer approaches based on machine learning are required. But what is really big in Big ...
    • Feature selection with limited bit depth mutual information for portable embedded systems 

      Morán-Fernández, Laura; Sechidis, Konstantinos; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo; Brown, Gavin (Elsevier, 2020-06)
      [Abstract]: Since wearable computing systems have grown in importance in the last years, there is an increased interest in implementing machine learning algorithms with reduced precision parameters/computations. Not only ...
    • Reduced precision discretization based on information theory 

      Ares, Brais; Morán-Fernández, Laura; Bolón-Canedo, Verónica (Elsevier, 2022-01)
      [Abstract] In recent years, new technological areas have emerged and proliferated, such as the Internet of Things or embedded systems in drones, which are usually characterized by making use of devices with strict requirements ...