A hierarchical Deep neural network design for stock returns prediction - researchr publication authors

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Oussama Lachiheb, Mohamed Salah Gouider. A hierarchical Deep neural network design for stock returns prediction. In Robert J. Howlett, Lakhmi C. Jain, Zoran Popovic, Dejan B. Popovic, Slobodan N. Vukosavic, Carlos Toro 0001, Yulia Hicks, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, Belgrade, Serbia, 3-5 September 2018. Volume 126 of Procedia Computer Science, pages 264-272, Elsevier, 2018. [doi]

This author has not been identified. Look up 'Oussama Lachiheb' in GoogleThis author has not been identified. Look up 'Mohamed Salah Gouider' in Google

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