| A CNN–LSTM model for gold price time-series forecasting IE Livieris, E Pintelas, P Pintelas Neural computing and applications 32, 17351-17360, 2020 | 752 | 2020 |
| Ensemble deep learning models for forecasting cryptocurrency time-series IE Livieris, E Pintelas, S Stavroyiannis, P Pintelas Algorithms 13 (5), 121, 2020 | 165 | 2020 |
| An advanced CNN-LSTM model for cryptocurrency forecasting IE Livieris, N Kiriakidou, S Stavroyiannis, P Pintelas Electronics 10 (3), 287, 2021 | 160 | 2021 |
| 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 | 153 | 2020 |
| 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 | 120 | 2019 |
| Investigating the problem of cryptocurrency price prediction: a deep learning approach E Pintelas, IE Livieris, S Stavroyiannis, T Kotsilieris, P Pintelas Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 …, 2020 | 94 | 2020 |
| Predicting students’ performance using artificial neural networks IE Livieris, K Drakopoulou, P Pintelas 8th PanHellenic Conference with International Participation Information and …, 2012 | 76 | 2012 |
| Special issue on ensemble learning and applications P Pintelas, IE Livieris Algorithms 13 (6), 140, 2020 | 75 | 2020 |
| A novel validation framework to enhance deep learning models in time-series forecasting IE Livieris, S Stavroyiannis, E Pintelas, P Pintelas Neural Computing & Applications 32, 17149–17167, 2020 | 68 | 2020 |
| Gender recognition by voice using an improved self-labeled algorithm IE Livieris, E Pintelas, P Pintelas Machine Learning and Knowledge Extraction 1 (1), 492-503, 2019 | 65 | 2019 |
| Explainable machine learning framework for image classification problems: case study on glioma cancer prediction E Pintelas, M Liaskos, IE Livieris, S Kotsiantis, P Pintelas Journal of imaging 6 (6), 37, 2020 | 62 | 2020 |
| 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 | 62 | 2019 |
| 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 | 60 | 2016 |
| A review of machine learning prediction methods for anxiety disorders EG Pintelas, T Kotsilieris, IE Livieris, P Pintelas Proceedings of the 8th International Conference on Software Development and …, 2018 | 56 | 2018 |
| On ensemble techniques of weight-constrained neural networks IE Livieris, L Iliadis, P Pintelas Evolving Systems 12, 155-167, 2021 | 51 | 2021 |
| 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 | 47 | 2018 |
| A survey on algorithms for training artificial neural networks I Livieris, P Pintelas University of Patras Report 455, 2008 | 47 | 2008 |
| A convolutional autoencoder topology for classification in high-dimensional noisy image datasets E Pintelas, IE Livieris, PE Pintelas Sensors 21 (22), 7731, 2021 | 44 | 2021 |
| A descent hybrid conjugate gradient method based on the memoryless BFGS update IE Livieris, V Tampakas, P Pintelas Numerical Algorithms 79, 1169-1185, 2018 | 42 | 2018 |
| Globally convergent modified Perry’s conjugate gradient method IE Livieris, P Pintelas Applied Mathematics and Computation 218 (18), 9197-9207, 2012 | 40 | 2012 |
panagiotis pintelasProfessor Emeritus, University of Patrasupatras.gr의 이메일 확인됨