Contextual Motifs: Increasing the Utility of Motifs using Contextual Data. Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation. Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs. Capturing Long-term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition. …

Scalable Prototype Selection by Genetic Algorithms and Hashing. A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation. R-Clustering for Egocentric Video Segmentation. Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer. Graph-based Isometry Invariant Representation Learning. A Framework for Wassers …