| Title | Theme | Statistics Area | Country/Organisation | Reports | ML methods | Data Source | Data Type | Codes |
|---|---|---|---|---|---|---|---|---|
| Address Register Automated Image Recognition (AIR) model | Imagery Analysis | Australia | To be uploaded | CONVOLUTIONAL NEURAL NETWORK | ||||
| Learning statistical information from images: a proof of concept | Imagery Analysis | Netherlands | To be uploaded | CONVOLUTIONAL NEURAL NETWORK | ?? - Gitlab link (Joep: not public, yet? ) | |||
| Arealstatistik Deep Learning (ADELE) | Imagery Analysis | Switzerland | To be uploaded | CONVOLUTIONAL NEURAL NETWORK, RANDOM FOREST | ||||
| Use of Landsat satellite data for the mapping of urban areas in non-census years | Imagery Analysis | Mexico | To be uploaded | EXTRA TREE, CONVOLUTIONAL NEURAL NETWORK | ||||
| Generic Pipeline for Production of Official Statistics Using Satellite Data and Machine Learning | Imagery Analysis | UNECE | To be uploaded | GENERAL DOCUMENT | Not applicable | |||
| Imputation of the variable “Attained Level of Education” in Base Register of Individuals | Edit & Imputation | Italy | To be uploaded | MULTI-LAYER PERCEPTION, LOG-LINEAR | Python - Github link | |||
| Imputation in the sample survey on participation of Polish residents in trips | Edit & Imputation | Poland | To be uploaded | CART, RANDOM FOREST, OPTIMAL WEIGHTED NEAREST NEIGHBOUR, SUPPORT VECTOR MACHINE | ||||
| Machine learning methods for imputation | Edit & Imputation | Germany | To be uploaded | K-NEAREST-NEIGHBOURS, BAYESIAN NETWORKS, RANDOM FOREST, SUPPORT VECTOR MACHINE | ||||
| Early estimates of energy balance statistics using machine learning | Edit & Imputation | Belgium VITO | To be uploaded | LASSO REGRESSION, LINEAR REGRESSION, NEURAL NETWORK, RANDOM FOREST, RIDGE REGRESSION | Python - Github link | |||
| Edit & Imputation | UK | To be uploaded | ||||||
| Editing in the Italian Register of the Public Administration | Edit & Imputation | Italy | To be uploaded | DECISION TREE, RANDOM FOREST | ||||
| Occupation and Economic activity coding using natural language processing | Coding & Classification | Mexico | To be uploaded | EXTRA TREE, NAIVE BAYES, XGBOOST, SUPPORT VECTOR MACHINE, MULTI-LAYER PERCEPTION, DECISION TREE, RANDOM FOREST, K-NEAREST-NEIGHBOURS, LOGISTIC REGRESSION | Python - File attachmen | |||
| Industry and Occupation Coding | Coding & Classification | Canada | To be uploaded | FASTTEST | Python - Github link | |||
| Sentiment Analysis of twitter data | Coding & Classification | Belgium Flanders | To be uploaded | WORD EMBEDDING, LOGISTIC REGRESSION, XGBOOST, RANDOM FOREST | Python - Github link | |||
| Coding & Classification | Serbia | To be uploaded | Not available | |||||
| Coding Workplace Injury and Illness | Coding & Classification | USA | To be uploaded | NEURAL NETWORK | Python - Github link | |||
| Product Description to ECOICOP | Coding & Classification | Poland | To be uploaded | NAIVE BAYES, LOGISTIC REGRESSION, RANDOM FOREST, SUPPORT VECTOR MACHINE, NEURAL NETWORK | Python - (to check with Marta and Krystyna) | |||
| Coding & Classification | Australia | To be uploaded | ||||||
| Automated Coding of IMF's Catalog of Time Series | Coding & Classification | IMF | To be uploaded | |||||
| Coding & Classification | Iceland | To be uploaded | ||||||
Standard Industrial Code Classification by Using Machine Learning | Coding & Classification | Norway | To be uploaded | LOGISTIC REGRESSION, RANDOM FOREST, NAIVE BAYES, SUPPORT VECTOR MACHINE, FASTTEST, NEURAL NETWORK |