Agricultural drain tile systems are a significant influence on the condition of wetlands and waterways. The influence of these systems is often difficult to determine since installation records are incomplete or were never kept. Using a modified decision class tree and raster analysis in ArcGIS, a model for predicting the location of land drained by subsurface systems was evaluated. The three-c...

Training high performance Deep Neural Networks (DNNs) models require large-scale and high-quality datasets. The expensive cost of collecting annotating datasets make the valuable can be considered as Intellectual Property (IP) dataset owner. To date, almost all copyright protection schemes for deep learning focus on models, while is rarely studied. In this paper, we propose a novel method to ac...

This paper is the basis paper for the accepted IJCNN challenge One-Minute Gradual-Emotion Recognition (OMG-Emotion) 1 by which we hope to foster long-emotion classification using neural models for the benefit of the IJCNN community. The proposed corpus has as novelty the data collection and annotation strategy based on emotion expressions which evolve over time into a specific context. Differen...