In this study, we propose a novel anomaly detection model targeting subtle brain lesions in
multiparametric MRI. To compensate for the lack of annotated data adequately sampling the …

The functionality of face biometric systems is severely challenged by presentation attacks
(PA's), and especially those attacks that have not been available during the training phase of …

We address the one-class classification (OCC) problem and advocate a one-class MKL
(multiple kernel learning) approach for this purpose. To this aim, based on the Fisher null …

This work represents one attempt to develop a computer aided diagnosis system for
epilepsy lesion detection based on neuroimaging data, in particular T1-weighted and FLAIR …

The paper addresses the multiple kernel learning (MKL) problem for one-class classification
(OCC). For this purpose, based on the Fisher null-space one-class classification principle …

As a generalized linear model, Sparse Multinomial Logistic Regression (SMLR) is widely
used in various multi-class task scenarios. SMLR introduces Laplace priori into Multinomial …

Epilepsy affects around 50 million people worldwide, a third of those diagnosed with
medically refractory epilepsy where seizures cannot be controlled by pharmacotherapy. For …