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 :
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Phone : 2610 997833
Fax : 2610 997313
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Gender recognition by voice using an improved self-labeled algorithm |
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A semi-supervised self-trained two-level algorithm for forecasting students' graduation time |
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Predicting anxiety disorders and suicide tendency using machine learning: a review |
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Improving the classification efficiency of an ANN utilizing a new training methodology |
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A new ensemble self-labeled semi-supervised algorithm |
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An identity relating Fibonacci and Lucas numbers of order k |
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A decision support software for forecasting patient’s length of stay |
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On ensemble SSL algorithms for credit scoring problem |
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Improving the evaluation process of students’ performance utilizing a decision support software |
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Identification of blood cells subtypes from images using an improved SSL algorithm |
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An ensemble SSL algorithm for efficient chest X-rays image classification |
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A descent hybrid conjugate gradient method based on the memoryless BFGS update |
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Predicting secondary school students’ performance utilizing a semi-supervised approach |
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CST-Voting - A semi-supervised ensemble method for classification problems |
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An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter |
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Performance evaluation of a SSL algorithm for forecasting the Dow Jones index stocks |
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Prediction of students’ graduation time using a two-level classification algorithm |
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Predicting length of stay in hospitalized patients using SSL algorithms |
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A review of machine learning prediction methods for anxiety disorders |
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A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update |
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