| 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 | 1057 | 2020 |
| 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 |
| 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 |
| A novel validation framework to enhance deep learning models in time-series forecasting IE Livieris, S Stavroyiannis, E Pintelas, P Pintelas Neural Computing and Applications 32 (23), 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 |
| 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 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 |
| A novel explainable image classification framework: case study on skin cancer and plant disease prediction E Pintelas, M Liaskos, IE Livieris, S Kotsiantis, P Pintelas Neural Computing and Applications 33 (22), 15171-15189, 2021 | 46 | 2021 |
| A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index IE Livieris, S Stavroyiannis, E Pintelas, T Kotsilieris, P Pintelas Evolving Systems 13 (1), 85-100, 2022 | 40 | 2022 |
| Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques ID Apostolopoulos, EG Pintelas, IE Livieris, DJ Apostolopoulos, ... Medical & Biological Engineering & Computing 59 (6), 1299-1310, 2021 | 38 | 2021 |
| An advanced deep learning model for short-term forecasting US natural gas price and movement IE Livieris, E Pintelas, N Kiriakidou, S Stavroyiannis IFIP International Conference on Artificial Intelligence Applications and …, 2020 | 37 | 2020 |
| Prediction of students’ graduation time using a two-level classification algorithm V Tampakas, IE Livieris, E Pintelas, N Karacapilidis, P Pintelas International Conference on Technology and Innovation in Learning, Teaching …, 2018 | 36 | 2018 |
| A 3D-CAE-CNN model for Deep Representation Learning of 3D images E Pintelas, P Pintelas Engineering Applications of Artificial Intelligence 113, 104978, 2022 | 30 | 2022 |
| Explainable image similarity: integrating siamese networks and Grad-CAM IE Livieris, E Pintelas, N Kiriakidou, P Pintelas Journal of Imaging 9 (10), 224, 2023 | 28 | 2023 |
| Identification of blood cell subtypes from images using an improved SSL algorithm IE Livieris, E Pintelas, A Kanavos, P Pintelas Biomedical Journal of Scientific & Technical Research 9 (1), 6923-6929, 2018 | 26 | 2018 |
| Fundamental research questions and proposals on predicting cryptocurrency prices using DNNs E Pintelas, I Livieris, S Stavroyiannis, T Kotsilieris, P Pintelas | 19 | 2020 |
| Weight-constrained neural networks in forecasting tourist volumes: A case study IE Livieris, E Pintelas, T Kotsilieris, S Stavroyiannis, P Pintelas Electronics 8 (9), 1005, 2019 | 18 | 2019 |
Ioannis E. LivierisAssociate Professor, University of the Pelopponese, Department of Business Organization, GreeceVerified email at uop.gr
