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Found 5 papers, 0 papers with code
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network
Current time-series forecasting problems use short-term weather attributes as exogenous inputs.
Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data
The next stage tackles under-segmentations using a combination of a novel ``cut-point'' based technique and localized second-level edge detection to obtain individual parcels.
Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System
There are significant challenges involved in the design and implementation of a dialog-based tutoring system (DBT) ranging from domain engineering to natural language classification and eventually instantiating an adaptive, personalized dialog strategy.
Joint Multi-Domain Learning for Automatic Short Answer Grading
On a large-scale industry dataset and a benchmarking dataset, we show that our model performs significantly better than existing techniques which either learn domain-specific models or adapt a generic similarity scoring model from a large corpus.
Adaptive Locally Affine-Invariant Shape Matching
The problem is difficult due to many factors such as intra-class variations, local deformations, articulations, viewpoint changes and missed and extraneous contour portions due to errors in shape extraction.
