| Theme | Title | Country/Organisation | ML methods | Data Source | Programming Language | Programme code | Note |
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| Imagery Analysis | | Australia | Convolutional neural network | Aerial imagery | R |
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| Imagery Analysis | | Netherlands | Convolutional neural network | Aerial imagery, Satellite imagery | Python |
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| Imagery Analysis | | Switzerland | Convolutional neural network, Random forest | Satellite imagery, Administrative data | Python |
| Land cover statistics, Land use statistics |
| Imagery Analysis | | Mexico | Convolutional neural network, Extra tree | Satellite imagery | Python |
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| Imagery Analysis | | UNECE | | Not applicable | Not applicable |
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| Edit & Imputation | | Italy | Multilayer perceptron, Log linear | Administrative data, Survey data, Census data | Python | GitHub link |
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| Edit & Imputation | | Poland | CART, Random forest, Optimal weighted nearest neighbor, Support vector machine | Survey data | R |
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| Edit & Imputation | | Germany | K-nearest neighbors, Bayesian network, Random forest, Support vector machine | Survey data | R |
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| Edit & Imputation | | Belgium VITO | Lasso regression, Linear regression, Neural network, Random forest, Ridge regression |
| Python | GitHub link |
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| Edit & Imputation | | UK | Decision tree, Random forest, Neural network | Survey data |
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| Edit & Imputation | | Italy | Decision tree, Random forest | Administrative data | R |
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| Edit & Imputation | Machine Learning for Data Editing Cleaning in NSI : Some ideas and hints | Italy |
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| Coding & Classification | | Mexico | Extra tree, Naive bayes, XGBoost, Support vector machine, Multilayer perceptron, Decision tree, Random forest, K-nearest neighbors, Logistic regression, Ensemble | Survey data | Python | |
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| Coding & Classification | | Canada | | Survey data | Python | GitHub link |
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| Coding & Classification | | Belgium Flanders | Word embedding, Logistic regression, XGBoost, Random forest | Social media data | Python | GitHub link |
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| Coding & Classification | | Serbia | Random forest, Support vector machine, Logistic regression | Survey data |
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| Coding & Classification | | USA | | Survey data | Python | GitHub link |
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| Coding & Classification | | Poland | Naive bayes, Logistic regression, Random forest, Support vector machine, Neural network | Web scraping data | Python | Github link |
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| Coding & Classification | No report expected | Australia | |
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| Coding & Classification | | IMF |
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| Coding & Classification | To be received | Iceland |
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| Coding & Classification |
| Norway | Logistic regression, Random forest, Naive bayes, Support vector machine, FastText, Neural network | Administrative data | Python |
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