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Dec 30 2022 Tiago Alves , João Amador and Francisco Gonçalves
  Assessing the scoreboard of the EU macroeconomic imbalances procedure: (machine) learning from decisions
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Sep 30 2022 Xiaojie Xu and Yun Zhang
  Forecasting the total market value of a shares traded in the Shenzhen stock exchange via the neural network
  Abstract  Contact Information  Citation  Full Text  -  Preliminary Result
 
Apr 09 2021 Pål Børing , Arne Martin Fevolden and André Lynum
  Skills for the future – forecasting firm competitiveness using machine learning methods and employer–employee register data
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Apr 09 2021 Max Resende and Alexandre Ferreira
  A machine learning approach to risk disclosure reporting
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Sep 24 2020 Olivier Darne and Amelie Charles
  Nowcasting GDP growth using data reduction methods: Evidence for the French economy
  Abstract  Contact Information  Citation  Full Text  -  Preliminary Result
 
Apr 29 2020 Cuiyuan Wang , Tao Wang and Changhe Yuan
  Does Applying Deep Learning in Financial Sentiment Analysis Lead to Better Classification Performance?
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Dec 08 2019 Arne Steinkraus
  Estimating Treatment Effects With Artificial Neural Nets – A Comparison to Synthetic Control Method
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Mar 16 2019 Dweepobotee Brahma and Debasri Mukherjee
  India's Universal Immunization Program: a lesson from Machine Learning
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Apr 29 2013 Periklis Gogas , Theophilos Papadimitriou and Elvira Takli
  Comparison of simple sum and Divisia monetary aggregates in GDP forecasting: a support vector machines approach
  Abstract  Contact Information  Citation  Full Text  -  Preliminary Result