416 citations · 545 across the 35 of their papers we have counts for
3 papers · 1 filter
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
Heather D. Couture, J. S. Marron, Charles M. Perou +2
Multiple instance (MI) learning with a convolutional neural network enables end-to-end training in the presence of weak image-level labels. We propose a new method for aggregating…
Testing Alignment of Node Attributes with Network Structure Through Label Propagation
Natalie Stanley, Marc Niethammer, Peter J. Mucha
Attributed network data is becoming increasingly common across fields, as we are often equipped with information about nodes in addition to their pairwise connectivity patterns. Th…
Stochastic Block Models with Multiple Continuous Attributes
Natalie Stanley, Thomas Bonacci, Roland Kwitt +2
The stochastic block model (SBM) is a probabilistic model for community structure in networks. Typically, only the adjacency matrix is used to perform SBM parameter inference. In t…