| A CNN–LSTM model for gold price time-series forecasting IE Livieris, E Pintelas, P Pintelas Neural computing and applications 32, 17351-17360, 2020 | 627 | 2020 |
| Ensemble deep learning models for forecasting cryptocurrency time-series IE Livieris, E Pintelas, S Stavroyiannis, P Pintelas Algorithms 13 (5), 121, 2020 | 137 | 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 | 129 | 2020 |
| 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 | 81 | 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 | 62 | 2019 |
| 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 | 60 | 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 | 55 | 2020 |
| 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 | 45 | 2018 |
| A convolutional autoencoder topology for classification in high-dimensional noisy image datasets E Pintelas, IE Livieris, PE Pintelas Sensors 21 (22), 7731, 2021 | 37 | 2021 |
| 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 | 33 | 2021 |
| Prediction of students’ graduation time using a two-level classification algorithm V Tampakas, IE Livieris, E Pintelas, N Karacapilidis, P Pintelas Technology and Innovation in Learning, Teaching and Education: First …, 2019 | 31 | 2019 |
| An advanced deep learning model for short-term forecasting US natural gas price and movement IE Livieris, E Pintelas, N Kiriakidou, S Stavroyiannis Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 …, 2020 | 28 | 2020 |
| 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, 1-16, 2022 | 26 | 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 | 25 | 2021 |
| 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 | 21 | 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 | 15 | 2022 |
| Fundamental research questions and proposals on predicting cryptocurrency prices using DNNs E Pintelas, I Livieris, S Stavroyiannis, T Kotsilieris, P Pintelas | 15 | 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 | 14 | 2019 |
| 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 | 12 | 2023 |
| Reviewing machine learning techniques for predicting anxiety disorders T Kotsilieris, E Pintelas, IE Livieris, P Pintelas Technical Report TR01-18. University of Patras, Tech. Rep, 2018 | 12 | 2018 |
Ioannis E. LivierisAssistant Professor, Department of Statistics & Insurance Science, University of Piraeus, Greece在 unipi.gr 的电子邮件经过验证
