20 citations · 27 across the 4 of their papers we have counts for
5 papers
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network
Smit Marvaniya, Jitendra Singh, Nicolas Galichet +3
Current time-series forecasting problems use short-term weather attributes as exogenous inputs. However, in specific time-series forecasting solutions (e.g., demand prediction in t…
A Framework for Crop Price Forecasting in Emerging Economies by Analyzing the Quality of Time-series Data
Ayush Jain, Smit Marvaniya, Shantanu Godbole +1
Accuracy of crop price forecasting techniques is important because it enables the supply chain planners and government bodies to take appropriate actions by estimating market facto…
Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data
Smit Marvaniya, Umamaheswari Devi, Jagabondhu Hazra +2
The recent thrust on digital agriculture (DA) has renewed significant research interest in the automated delineation of agricultural fields. Most prior work addressing this problem…
Joint Multi-Domain Learning for Automatic Short Answer Grading
Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya +3
One of the fundamental challenges towards building any intelligent tutoring system is its ability to automatically grade short student answers. A typical automatic short answer gra…
Adaptive Locally Affine-Invariant Shape Matching
Smit Marvaniya, Raj Gupta, Anurag Mittal
Matching deformable objects using their shapes is an important problem in computer vision since shape is perhaps the most distinguishable characteristic of an object. The problem i…