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Emmanuel Pintelas, Postdoctoral Researcher
Emmanuel Pintelas, Postdoctoral Researcher
University of Patras, Department of Mathematics
Geverifieerd e-mailadres voor upatras.gr
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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, 17351-17360, 2020
7502020
Ensemble deep learning models for forecasting cryptocurrency time-series
IE Livieris, E Pintelas, S Stavroyiannis, P Pintelas
Algorithms 13 (5), 121, 2020
1652020
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
1532020
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
942020
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
682020
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
652019
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
622020
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
562018
A convolutional autoencoder topology for classification in high-dimensional noisy image datasets
E Pintelas, IE Livieris, PE Pintelas
Sensors 21 (22), 7731, 2021
442021
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
362021
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
352019
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
302020
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
292022
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
292021
A 3D-CAE-CNN model for Deep Representation Learning of 3D images
E Pintelas, P Pintelas
Engineering Applications of Artificial Intelligence 113, 104978, 2022
212022
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
212018
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
182023
Fundamental research questions and proposals on predicting cryptocurrency prices using DNNs
E Pintelas, I Livieris, S Stavroyiannis, T Kotsilieris, P Pintelas
182020
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
142019
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
122018
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