| 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 | 1056 | 2020 |
| An advanced CNN-LSTM model for cryptocurrency forecasting IE Livieris, N Kiriakidou, S Stavroyiannis, P Pintelas Electronics 10 (3), 287, 2021 | 219 | 2021 |
| Ensemble deep learning models for forecasting cryptocurrency time-series IE Livieris, E Pintelas, S Stavroyiannis, P Pintelas Algorithms 13 (5), 121, 2020 | 208 | 2020 |
| 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 | 194 | 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 | 135 | 2019 |
| Investigating the problem of cryptocurrency price prediction: a deep learning approach E Pintelas, IE Livieris, S Stavroyiannis, T Kotsilieris, P Pintelas IFIP International conference on artificial intelligence applications and …, 2020 | 119 | 2020 |
| Special issue on ensemble learning and applications P Pintelas, IE Livieris Algorithms 13 (6), 140, 2020 | 98 | 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 | 92 | 2020 |
| 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 | 84 | 2020 |
| A convolutional autoencoder topology for classification in high-dimensional noisy image datasets E Pintelas, IE Livieris, PE Pintelas Sensors 21 (22), 7731, 2021 | 80 | 2021 |
| 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 | 79 | 2019 |
| Predicting students’ performance using artificial neural networks IE Livieris, K Drakopoulou, P Pintelas 8th PanHellenic Conference with International Participation Information and …, 2012 | 79 | 2012 |
| 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 | 73 | 2019 |
| 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 | 66 | 2018 |
| 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 | 64 | 2016 |
| On ensemble techniques of weight-constrained neural networks IE Livieris, L Iliadis, P Pintelas Evolving Systems 12 (1), 155-167, 2021 | 60 | 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 | 58 | 2018 |
| Smoothing and stationarity enforcement framework for deep learning time-series forecasting IE Livieris, S Stavroyiannis, L Iliadis, P Pintelas Neural Computing and Applications 33 (20), 14021-14035, 2021 | 50 | 2021 |
| 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 | 49 | 2018 |
| A multi-view-CNN framework for deep representation learning in image classification E Pintelas, IE Livieris, S Kotsiantis, P Pintelas Computer Vision and Image Understanding 232, 103687, 2023 | 47 | 2023 |
panagiotis pintelasProfessor Emeritus, University of PatrasVerified email at upatras.gr
