There is a great need for identifying and characterizing human settlements at global scale. Though very high-resolution (VHR) imagery has proven to be highly useful in identifying human settlements, the algorithms and computational approaches have proven to be inadequate and very slow. Existing per-pixel based classification approaches are shown to be inadequate for characterizing urban neighbo...

Semantic labeling is a powerful transformation technique for proving termination of term rewrite systems. The semantic part is given by a model or a quasi-model of the rewrite rules. A variant of semantic labeling is predictive labeling where the quasi-model condition is only required for the usable rules. In this paper we investigate how semantic and predictive labeling can be used to prove in...

We report the identification of a molecular signature using the Scano-miR profiling platform based on the differential expression of circulating microRNAs (miRNA, miR) in serum samples specific to patients with very high-risk (VHR) prostate cancer (PCa). Five miRNA PCa biomarkers (miR-200c, miR-605, miR-135a*, miR-433, and miR-106a) were identified as useful for differentiating indolent and agg...

The goal of semantic role labeling is to map sentences to domain-independent semantic representations, which abstract away from syntactic structure and are important for deep NLP tasks such as question answering, textual entailment, and complex information extraction. Semantic role labeling has recently received significant interest in the natural language processing community. In this tutorial...

Endotoxin is thought to contribute to pulmonary hyperresponsiveness in byssinosis, asthma, and the acute respiratory distress syndrome (ARDS). The aim of this study was to elucidate the mechanism of this phenomenon in the isolated, blood-free perfused mouse lung. Perfusion with lipopolysaccharide (LPS) had no effect on pulmonary resistance or pulmonary artery pressure, but induced airway hyperr...

The semantic function tags of Bonial, Stowe, and Palmer (2013) and the ordinal, multi-property annotations of Reisinger et al. (2015) draw inspiration from Dowty’s semantic proto-role theory. We approach proto-role labeling as a multi-label classification problem and establish strong results for the task by adapting a successful model of traditional semantic role labeling. We achieve a proto-ro...

Semantic segmentation of Very High Resolution (VHR) remote sensing images is a fundamental task for many applications. However, large variations in the scales objects those VHR pose challenge performing accurate semantic segmentation. Existing networks are able to analyse an input image at up four resizing scales, but this may be insufficient given diversity object scales. Therefore, Multi Scal...

This tutorial will describe semantic role labeling, the assignment of semantic roles to eventuality participants in an attempt to approximate a semantic representation of an utterance. The linguistic background and motivation for the definition of semantic roles will be presented, as well as the basic approach to semantic role annotation of large amounts of corpora. Recent extensions to this ap...

In this paper we introduce the problem of Visual Semantic Role Labeling: given an image we want to detect people doing actions and localize the objects of interaction. Classical approaches to action recognition either study the task of action classification at the image or video clip level or at best produce a bounding box around the person doing the action. We believe such an output is inadequ...