Publications
Claims fraud detection with uncertain labels KU Leuven University of Antwerp
Robust penalized spline estimation with difference penalties KU Leuven
Penalized spline estimation with discrete difference penalties (P-splines) is a popular estimation method for semiparametric models, but the classical least-squares estimator is highly sensitive to deviations from its ideal model assumptions. To remedy this deficiency, a broad class of P-spline estimators based on general loss functions is introduced and studied. Robust estimators are obtained by well-chosen loss functions, such as the Huber or ...
Smart initialisation and approximating loss function for robust regression KU Leuven University of Antwerp
Robust and efficient estimation of nonparametric generalized linear models KU Leuven
UNLABELLED: Generalized linear models are flexible tools for the analysis of diverse datasets, but the classical formulation requires that the parametric component is correctly specified and the data contain no atypical observations. To address these shortcomings, we introduce and study a family of nonparametric full-rank and lower-rank spline estimators that result from the minimization of a penalized density power divergence. The proposed ...
Sparse dimension reduction based on energy and ball statistics KU Leuven University of Antwerp
Instance-Dependent Cost-Sensitive Learning for Detecting Transfer Fraud KU Leuven University of Antwerp
RNA biomarkers from proximal liquid biopsy for diagnosis of ovarian cancer KU Leuven Ghent University
BACKGROUND: Most ovarian cancer patients are diagnosed at an advanced stage and have a high mortality rate. Current screening strategies fail to improve prognosis because markers that are sensitive for early stage disease are lacking. This medical need justifies the search for novel approaches using utero-tubal lavage as a proximal liquid biopsy. METHODS: In this study, we explore the extracellular transcriptome of utero-tubal lavage fluid ...