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cs.LG2025
Elastic-Net Multiple Kernel Learning: Combining Multiple Data Sources for Prediction
Janaina Mourão-Miranda, Zakria Hussain, Konstantinos Tsirlis +2
Multiple Kernel Learning (MKL) models combine several kernels in supervised and unsupervised settings to integrate multiple data representations or sources, each represented by a d…
cs.LG2022
TransductGAN: a Transductive Adversarial Model for Novelty Detection
Najiba Toron, Janaina Mourao-Miranda, John Shawe-Taylor
Novelty detection, a widely studied problem in machine learning, is the problem of detecting a novel class of data that has not been previously observed. A common setting for novel…