Dec 30 2022 Tiago Alves , João Amador and Francisco Gonçalves   Assessing the scoreboard of the EU macroeconomic imbalances procedure: (machine) learning from decisions   Abstract  Contact Information  Citation  Full Text  -  Note   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   Abstract  Contact Information  Citation  Full Text  -  Preliminary Result   Apr 09 2021 Max Resende and Alexandre Ferreira   A machine learning approach to risk disclosure reporting   Abstract  Contact Information  Citation  Full Text  -  Preliminary Result   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?   Abstract  Contact Information  Citation  Full Text  -  Preliminary Result   Dec 08 2019 Arne Steinkraus   Estimating Treatment Effects With Artificial Neural Nets – A Comparison to Synthetic Control Method   Abstract  Contact Information  Citation  Full Text  -  Note   Mar 16 2019 Dweepobotee Brahma and Debasri Mukherjee   India's Universal Immunization Program: a lesson from Machine Learning   Abstract  Contact Information  Citation  Full Text  -  Note   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