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Niki Kiriakidou

Niki Kiriakidou received her B.Sc degree in Mathematics from the University of Patras in 2018. Currently, she is an M.Sc student in the Department of Statistics and Insurance Science at University of Piraeus. Her Master thesis is "Interest rate derivatives pricing models" (pending presentation). Her research interests include stochastic processes, data analysis, time series and derivatives.

 

 

Degrees

  • 2020: M.Sc. in "Applied Statistics", Department of Statistics and Insurance Science, University of Piraeus, Greece.
  • 2018: Bachelor Degree in Mathematics, Department of Mathematics, University of Patras, Greece.

 

 

Dissertations

 

 

Communication

E-mail :  This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Phone : 2610 997833

Fax : 2610 997313



An advanced CNN-LSTM model for cryptocurrency forecasting PDF Print E-mail

I.E. Livieris, N. Kiriakidou, S. Stavroyiannis and P. Pintelas. An advanced CNN-LSTM model for cryptocurrency forecasting. Electronics, 2020.

 
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Interest Rate Derivatives Pricing Models PDF Print E-mail

N. Kiriakidou. Interest Rate Derivatives Pricing Models. Master Thesis, University of Piraeus, 2020.

 
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Forecasting students’ performance using an ensemble SSL algorithm PDF Print E-mail

I.E. Livieris, V. Tampakas, N. Kyriakidou, T. Mikropoulos and P. Pintelas. Forecasting students’ performance using an ensemble SSL algorithm. In IEEE 1st International Conference on Technology and Innovation in Learning, Teaching and Education, 2018.

 
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An advanced deep learning model for short-term forecasting U.S. natural gas price and movement PDF Print E-mail

I.E. Livieris, E. Pintelas, N. Kiriakidou and S. Stavroyiannis. An advanced deep learning model for short-term forecasting U.S. natural gas price and movement. In IFIP Advances in Information and Communication Technology, 2020.

 
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Employing constrained neural networks for forecasting new product's sales increase PDF Print E-mail

I.E. Livieris, N.Kiriakidou, A. Kanavos, G. Vonitsanos and V. Tampakas. Employing Constrained Neural Networks for Forecasting new Products Sales Increase. In IFIP Advances in Information and Communication Technology, Springer, (accepted), 2019.

 
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On ensemble SSL algorithms for credit scoring problem PDF Print E-mail

I.E. Livieris, N. Kiriakidou, A. Kanavos, V. Tampakas, P. Pintelas. On ensemble SSL algorithms for credit scoring problem. Informatics, 2018.

 
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Performance evaluation of a SSL algorithm for forecasting the Dow Jones index stocks PDF Print E-mail

I.E. Livieris, A. Kanavos, G. Vonitsanos, N. Kyriakidou, A. Vikatos, K. Giotopoulos and V. Tampakas. Performance evaluation of a SSL algorithm for forecasting the Dow Jones index stocks. In IEEE 9th International Conference on Information, Intelligence, Systems and Applications (IISA 2018), 2018.

 
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