253 citations · 578 across the 15 of their papers we have counts for
17 papers
Multi-view analysis of unregistered medical images using cross-view transformers
Gijs van Tulder, Yao Tong, Elena Marchiori
Multi-view medical image analysis often depends on the combination of information from multiple views. However, differences in perspective or other forms of misalignment can make i…
Gaussian Processes with Skewed Laplace Spectral Mixture Kernels for Long-term Forecasting
Kai Chen, Twan van Laarhoven, Elena Marchiori
Long-term forecasting involves predicting a horizon that is far ahead of the last observation. It is a problem of high practical relevance, for instance for companies in order to d…
Unsupervised Domain Adaptation using Graph Transduction Games
Sebastiano Vascon, Sinem Aslan, Alessandro Torcinovich +3
Unsupervised domain adaptation (UDA) amounts to assigning class labels to the unlabeled instances of a dataset from a target domain, using labeled instances of a dataset from a rel…
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…
Multi-Output Convolution Spectral Mixture for Gaussian Processes
Kai Chen, Twan van Laarhoven, Perry Groot +2
Multi-output Gaussian processes (MOGPs) are an extension of Gaussian Processes (GPs) for predicting multiple output variables (also called channels, tasks) simultaneously. In this…
Multitask Gaussian Process with Hierarchical Latent Interactions
Kai Chen, Twan van Laarhoven, Elena Marchiori +2
Multitask Gaussian process (MTGP) is powerful for joint learning of multiple tasks with complicated correlation patterns. However, due to the assembling of additive independent lat…