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Handling Climate Change Using Counterfactuals: Using Counterfactuals in
  Data Augmentation to Predict Crop Growth in an Uncertain Climate Future

Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future

International Conference on Case-Based Reasoning (ICCBR), 2021
8 April 2021
M. Temraz
Eoin M. Kenny
E. Ruelle
L. Shalloo
Barry Smyth
Markt. Keane
ArXiv (abs)PDFHTML

Papers citing "Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future"

3 / 3 papers shown
Augmenting The Weather: A Hybrid Counterfactual-SMOTE Algorithm for Improving Crop Growth Prediction When Climate Changes
Augmenting The Weather: A Hybrid Counterfactual-SMOTE Algorithm for Improving Crop Growth Prediction When Climate Changes
M. Temraz
Mark T Keane
73
0
0
14 Nov 2025
Solving the Class Imbalance Problem Using a Counterfactual Method for
  Data Augmentation
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation
M. Temraz
Markt. Keane
159
56
0
05 Nov 2021
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A ReviewACM Computing Surveys (ACM CSUR), 2020
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
695
242
0
20 Oct 2020
1