Now showing items 1-4 of 4

    • CABRA: Clustering algorithm based on regular arrangement 

      C-Rella, Jorge (Elsevier, 2024)
      [Abstract]: Clustering is an unsupervised learning technique for organizing complex datasets into coherent groups. A novel clustering algorithm is presented, with a simple grouping concept depending on only one hyperparameter, ...
    • Cost-sensitive learning for credit risk 

      C-Rella, Jorge (2024)
      [Abstract]: This thesis addresses the problem of fraud detection and credit risk from a cost sensitive perspective, exploring techniques that maximize the benefits to a financial institution while minimizing the probability ...
    • Cost-sensitive thresholding over a two-dimensional decision region for fraud detection 

      C-Rella, Jorge; Cao, Ricardo; Vilar, Juan M. (Elsevier B.V., 2024-02)
      [Absctract]: Credit fraud poses a challenging task in terms of detection. It can result in significant losses depending on the amount, so a cost-sensitive perspective needs to be taken. Classical approaches focus on ...
    • Instance-dependent cost-sensitive parametric learning 

      C-Rella, Jorge; Claeskens, Gerda; Cao, Ricardo; Vilar, Juan M. (Elsevier B.V., 2025-01-28)
      [Abstract]: Instance-dependent cost-sensitive learning addresses classification problems where each observation has a different misclassification cost. In this paper, we propose cost-sensitive parametric models to minimize ...