Early experiences with crowdsourcing airway annotations in chest CT
The similarity between dissimilarities
Asymmetric similarity-weighted ensembles for image segmentation
Label stability in multiple instance learning
Dissimilarity-based ensembles for multiple instance learning
Single- vs. multiple-instance classification
On classification with bags, groups and sets
Characterizing multiple instance datasets
Multiple instance learning with bag dissimilarities
Dissimilarity-based multiple instance learning
Network-guided group feature selection for classification of autism spectrum disorder
Classification of COPD with multiple instance learning
On the informativeness of asymmetric dissimilarities
Combining instance information to classify bags
Bridging structure and feature representations in graph matching
Class-dependent dissimilarity measures for multiple instance learning
Does one rotten apple spoil the whole barrel?
Random subspace method for one-class classifiers
Bag dissimilarities for multiple instance learning
Pruned random subspace method for one-class classifiers