| Title | Theme | Country/Organisation | Reports | ML methods | Codes |
|---|---|---|---|---|---|
| Imagery Analysis | Australia | To be uploaded | |||
| Imagery Analysis | Netherlands | To be uploaded | ?? - Gitlab link (Joep: not public, yet? ) | ||
| Imagery Analysis | Switzerland | To be uploaded | |||
| Imagery Analysis | Mexico | To be uploaded | |||
| Imagery Analysis | UNECE | To be uploaded | Not applicable | ||
| Edit & Imputation | Italy | To be uploaded | MULTI-LAYER PERCEPTIONLOG-LINEAR | Python - Github link | |
| Edit & Imputation | Poland | To be uploaded | |||
| Edit & Imputation | Germany | To be uploaded | |||
| Edit & Imputation | Belgium VITO | To be uploaded | LASSO REGRESSIONLINEAR REGRESSIONNEURAL NETWORKRANDOM FORESTRIDGE REGRESSION | Python - Github link | |
| Edit & Imputation | UK | To be uploaded | |||
| Edit & Imputation | Italy | To be uploaded | |||
| Occupation and Economic activity coding using natural language processing | Coding & Classification | Mexico | To be uploaded | EXTRA TREENAIVE BAYESXGBOOSTSUPPORT VECTOR MACHINEMULTI-LAYER PERCEPTIONDECISION TREERANDOM FORESTK-NEAREST-NEIGHBOURSLOGISTIC REGRESSION | Python - File attachmen |
| Coding & Classification | Canada | To be uploaded | FASTTEST | Python - Github link | |
| Sentiment Analysis of twitter data | Coding & Classification | Belgium Flanders | To be uploaded | WORD EMBEDDINGLOGISTIC REGRESSION XGBOOST RANDOM FOREST | Python - Github link |
| Coding & Classification | Serbia | To be uploaded | Not available | ||
| Coding & Classification | USA | To be uploaded | NEURAL NETWORK | Python - Github link | |
| Coding & Classification | Poland | To be uploaded | Python - (to check with Marta and Krystyna) | ||
| Coding & Classification | Australia | To be uploaded | |||
| Coding & Classification | IMF | To be uploaded | |||
| Coding & Classification | Iceland | To be uploaded | |||
| Coding & Classification | Norway | To be uploaded |
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