Ioannis E. Livieris
Ioannis E. Livieris
University of Patras, Department of Mathematics
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A CNN–LSTM model for gold price time-series forecasting
IE Livieris, E Pintelas, P Pintelas
Neural computing and applications 32 (23), 17351-17360, 2020
Predicting students’ performance using artificial neural networks
IE Livieris, K Drakopoulou, P Pintelas
8th PanHellenic Conference with International Participation Information and…, 2012
Predicting secondary school students' performance utilizing a semi-supervised learning approach
IE Livieris, K Drakopoulou, VT Tampakas, TA Mikropoulos, P Pintelas
Journal of educational computing research 57 (2), 448-470, 2019
A memoryless BFGS neural network training algorithm
MS Apostolopoulou, DG Sotiropoulos, IE Livieris, P Pintelas
2009 7th IEEE International Conference on Industrial Informatics, 216-221, 2009
A decision support system for predicting students’ performance
I Livieris, T Mikropoulos, P Pintelas
Themes in Science and Technology Education 9 (1), 43-57, 2016
A survey on algorithms for training artificial neural networks
IE Livieris, P Pintelas
Department of Mathematics, University of Patras. Tech. Rep, 2008
A new conjugate gradient algorithm for training neural networks based on a modified secant equation
IE Livieris, P Pintelas
Applied Mathematics and Computation 221, 491-502, 2013
Globally convergent modified Perry’s conjugate gradient method
IE Livieris, P Pintelas
Applied Mathematics and Computation 218 (18), 9197-9207, 2012
An ensemble-based semi-supervised approach for predicting students’ performance
IE Livieris, K Drakopoulou, TA Mikropoulos, V Tampakas, P Pintelas
Research on e-Learning and ICT in Education, 25-42, 2018
An ensemble SSL algorithm for efficient chest X-ray image classification
IE Livieris, A Kanavos, V Tampakas, P Pintelas
Journal of Imaging 4 (7), 95, 2018
A grey-box ensemble model exploiting black-box accuracy and white-box intrinsic interpretability
E Pintelas, IE Livieris, P Pintelas
Algorithms 13 (1), 17, 2020
Improving the classification efficiency of an ANN utilizing a new training methodology
IE Livieris
Informatics 6 (1), 1, 2019
A new class of spectral conjugate gradient methods based on a modified secant equation for unconstrained optimization
IE Livieris, P Pintelas
Journal of computational and applied mathematics 239, 396-405, 2013
An improved spectral conjugate gradient neural network training algorithm
IE Livieris, P Pintelas
International Journal on Artificial Intelligence Tools 21 (01), 1250009, 2012
On descent spectral CG algorithms for training recurrent neural networks
IE Livieris, DG Sotiropoulos, P Pintelas
2009 13th Panhellenic Conference on Informatics, 65-69, 2009
A weighted voting ensemble self-labeled algorithm for the detection of lung abnormalities from X-rays
IE Livieris, A Kanavos, V Tampakas, P Pintelas
Algorithms 12 (3), 64, 2019
A descent hybrid conjugate gradient method based on the memoryless BFGS update
IE Livieris, V Tampakas, P Pintelas
Numerical Algorithms 79 (4), 1169-1185, 2018
Forecasting economy-related data utilizing weight-constrained recurrent neural networks
IE Livieris
Algorithms 12 (4), 85, 2019
A descent Dai-Liao conjugate gradient method based on a modified secant equation and its global convergence
IE Livieris, P Pintelas
ISRN Computational Mathematics 2012, 2012
An auto-adjustable semi-supervised self-training algorithm
IE Livieris, A Kanavos, V Tampakas, P Pintelas
Algorithms 11 (9), 139, 2018
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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