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Ioannis E. Livieris

Ioannis E. Livieris received his B.Sc., M.Sc. and Ph.D. degrees in Mathematics from the University of Patras, Greece in 2006, 2008 and 2012 respectively. His research interests include numerical optimization, neural networks and its application in bioinformatics. He is a member of the ESDLab since 2008. See his personal web page.

 

 

Degrees

  • 2012: Ph.D. from Department of Mathematics, University of Patras.
  • 2008: M.Sc. in "Computational Mathematics & Informatics", Department of Mathematics, University of Patras, Greece.
  • 2006: Bachelor Degree in Mathematics (speciality in Computational Mathematics & Informatics), Department of Mathematics, University of Patras, Greece.

 

Dissertations

  • Ph.D. Thesis: Nonlinear Conjugate Gradient Methods for Optimization and Neural Network Training. Supervisor: Professor P. Pintelas.
  • M.Sc. Thesis: Performance Evaluation of Algorithms for Neural Network Training and Applications. Supevisor: Professor P. Pintelas.
  • B.Sc. Thesis: Constraint Propagation Problems. Bachelor Thesis Supevisor: Associate Professor T.N. Grapsa.

   

Courses

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

Phone :      2610 997833

Fax :          2610 997313




Forecasting economy-related data utilizing constrained recurrent neural networks PDF Print E-mail
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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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An efficient preprocessing tool for supervised sentiment analysis on Twitter data PDF Print E-mail

E. Dritsas, G. Vonitsanos, I.E. Livieris, A. Kanavos, A. Ilias, C. Makris and A. Tsakalidis. An efficient preprocessing tool for supervised sentiment analysis on Twitter data. In Advances in Information and Communication Technology, Springer, 2019 (accepted).

 
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Predicting secondary structure for human proteins based on Chou-Fasman method PDF Print E-mail

F. Kounelis, A. Kanavos, I.E. Livieris, G. Vonitsanos and P. Pintelas. Predicting secondary structure for human proteins based on Chou-Fasman method. In Advances in Information and Communication Technology, Springer, 2019 (accepted).

 
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A weighted voting ensemble SSL algorithm for the detection of lung abnormalities from X-rays PDF Print E-mail

I.E. Livieris, A. Kanavos, V. Tampakas, P. Pintelas. A weighted voting ensemble SSL algorithm for the detection of lung abnormalities from X-rays. Algorithms, 2019.

 
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Gender recognition by voice using an improved self-labeled algorithm PDF Print E-mail

I.E. Livieris, E. Pintelas and P. Pintelas. Gender recognition by voice using an improved self-labeled algorithm. Machine Learning and Knowledge Extraction. 2019

 
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A semi-supervised self-trained two-level algorithm for forecasting students' graduation time PDF Print E-mail

I.E. Livieris, V. Tampakas, N. Karacapilidis and P. Pintelas. A semi-supervised self-trained two-level algorithm for forecasting students' graduation time. Intelligent Decision Technologies. 2019

 
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Predicting anxiety disorders and suicide tendency using machine learning: a review PDF Print E-mail

T. Kotsilieris, E. Pintelas, I.E. Livieris and P. Pintelas. Predicting anxiety disorders and suicide tendency using machine learning: a review. International Journal of Medical Engineering and Informatics, 2019

 
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Improving the classification efficiency of an ANN utilizing a new training methodology PDF Print E-mail
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A new ensemble self-labeled semi-supervised algorithm PDF Print E-mail

I.E. Livieris. A new ensemble self-labeled semi-supervised algorithm. Informatica, Volume 49, 2019.

 
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An identity relating Fibonacci and Lucas numbers of order k PDF Print E-mail

S.D. Dafnis, A.N. Philippou and I.E. Livieris, An identity relating Fibonacci and Lucas numbers of order k. Electronic Notes in Discrete Mathematics, Volume 70, pp. 37-42,
2018.

 
 
A decision support software for forecasting patient’s length of stay PDF Print E-mail

I.E. Livieris, T. Kotsilieris, I. Dimopoulos and P. Pintelas. A decision support software for forecasting patient’s length of stay. Algorithms, 2018.

 
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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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Improving the evaluation process of students’ performance utilizing a decision support software PDF Print E-mail

I.E. Livieris, T. Kotsilieris, V. Tampakas, P. Pintelas. Improving the evaluation process of students’ performance utilizing a decision support software. Neural Computing and Applications, 2018.

 
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Identification of blood cells subtypes from images using an improved SSL algorithm PDF Print E-mail

I.E. Livieris, E. Pintelas, A. Kanavos, P. Pintelas. Identification of blood cells subtypes from images using an improved SSL algorithm. Biomedical Journal of Scientific & Technical Research, Volume 9, Issue 1, 2018.

 
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An ensemble SSL algorithm for efficient chest X-rays image classification PDF Print E-mail

I.E. Livieris, A. Kanavos, V. Tampakas and P. Pintelas. An ensemble SSL algorithm for efficient chest X-rays image classification. Journal of Imaging, 2018.

 
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A descent hybrid conjugate gradient method based on the memoryless BFGS update PDF Print E-mail

I.E. Livieris, V. Tampakas and P. Pintelas. A descent hybrid conjugate gradient method based on the memoryless BFGS update. Numerical Algorithms, 2018.

 
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Predicting secondary school students’ performance utilizing a semi-supervised approach PDF Print E-mail

I.E. Livieris, K. Drakopoulou, V. Tampakas, T.A. Mikropoulos and P. Pintelas. Predicting secondary school students’ performance utilizing a semi-supervised approach. Journal of Educational Computing Research, 2018.

 
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CST-Voting - A semi-supervised ensemble method for classification problems PDF Print E-mail

G. Kostopoulos, I.E. Livieris, S. Kotsiantis and V. Tampakas. CST-Voting - A semi-supervised ensemble method for classification problems. Journal of Intelligent & Fuzzy Systems, 2017.

 
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An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter PDF Print E-mail

E. Dritsas, I.E. Livieris, K. Giotopoulos and K. Theodorakopoulos. An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter. In Proceedings of ACM 21th Panellenic Conference on Informatics (PCI’18), 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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