Now showing items 1-2 of 2

    • Fitting the data from embryo implantation prediction: Learning from label proportions 

      Hernández-González J.; Inza I.; Crisol-Ortíz L.; Guembe MA.; Iñarra MJ.; Lozano J.A. (Statistical Methods in Medical Research, 2016-01-01)
      Machine learning techniques have been previously used to assist clinicians to select embryos for human-assisted reproduction. This work aims to show how an appropriate modeling of the problem can contribute to improve ...
    • Soft range information for network localization 

      Mazuelas S.; Conti A.; Allen J.C.; Win M.Z. (IEEE Transactions on Signal Processing, 2018-06-15)
      The demand for accurate localization in complex environments continues to increase despite the difficulty in extracting positional information from measurements. Conventional range-based localization approaches rely on ...