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cs.CV2018
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation
Joris van Vugt, Elena Marchiori, Ritse Mann +3
Computer-aided detection aims to improve breast cancer screening programs by helping radiologists to evaluate digital mammography (DM) exams. DM exams are generated by devices from…
stat.ML2018
Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation
Jeroen Manders, Twan van Laarhoven, Elena Marchiori
We consider unsupervised domain adaptation: given labelled examples from a source domain and unlabelled examples from a related target domain, the goal is to infer the labels of ta…
stat.ML2018
Domain Adaptation with Randomized Expectation Maximization
Twan van Laarhoven, Elena Marchiori
Domain adaptation (DA) is the task of classifying an unlabeled dataset (target) using a labeled dataset (source) from a related domain. The majority of successful DA methods try to…