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Found 7 papers, 4 papers with code
Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones
In response to this gap, we present a MZ clustering method based on fertilizer responsivity.
Counterfactual Explanations of Neural Network-Generated Response Curves
We propose to use counterfactual explanations (CFEs) for the identification of the features with the highest relevance on the shape of response curves generated by neural network black boxes.
Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation
In this paper, we present a method to learn prediction intervals for regression-based neural networks automatically in addition to the conventional target predictions.
Two-dimensional Deep Regression for Early Yield Prediction of Winter Wheat
Crop yield prediction is one of the tasks of Precision Agriculture that can be automated based on multi-source periodic observations of the fields.
Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks
The second step applies a wrapper-based approach to select bands from the reduced set based on their information entropy values, and trains a compact Convolutional Neural Network (CNN) to evaluate the performance of the current selection.
Estimation of 2D Velocity Model using Acoustic Signals and Convolutional Neural Networks
In those cases, shape identification of objects using only acoustic signals is a challenge because it is carried out with information of echoes that are produced by objects with different densities from that of the medium.
End-to-end Cloud Segmentation in High-Resolution Multispectral Satellite Imagery Using Deep Learning
Segmenting clouds in high-resolution satellite images is an arduous and challenging task due to the many types of geographies and clouds a satellite can capture.
