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ORCIDEmmanuel Pintelas
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- affiliation: University of Patras, Department of Mathematics, Patras, Greece
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2020 – today
- 2024
[j15]Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas:
Adaptive augmentation framework for domain independent few shot learning. Knowl. Based Syst. 299: 112047 (2024)- [i2]Lavrentia Aravani, Emmanuel Pintelas, Christos Pierrakeas
, Panagiotis Pintelas:
A Natural Language Processing Framework for Hotel Recommendation Based on Users' Text Reviews. CoRR abs/2408.00716 (2024) - 2023
- [b1]Emmanuel Pintelas:
Intrinsic interpretable machine learning frameworks for image classification. University of Patras, Greece, 2023 - [j14]Emmanuel Pintelas, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas:
A multi-view-CNN framework for deep representation learning in image classification. Comput. Vis. Image Underst. 232: 103687 (2023) - [j13]Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Panayiotis E. Pintelas:
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. J. Imaging 9(10): 224 (2023) - [c7]Emmanuel Pintelas, Ioannis E. Livieris, Panagiotis P. Pintelas:
A Deep Learning-Based Methodology for Detecting and Visualizing Continuous Gravitational Waves. AIAI (1) 2023: 3-14 - [i1]Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Panagiotis P. Pintelas:
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. CoRR abs/2310.07678 (2023) - 2022
- [j12]Emmanuel Pintelas, Panayiotis E. Pintelas:
A 3D-CAE-CNN model for Deep Representation Learning of 3D images. Eng. Appl. Artif. Intell. 113: 104978 (2022) - [j11]Ioannis E. Livieris, Stavros Stavroyiannis, Emmanuel Pintelas, Theodore Kotsilieris, Panayiotis E. Pintelas:
A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index. Evol. Syst. 13(1): 85-100 (2022) - 2021
- [j10]Ioannis D. Apostolopoulos, Emmanuel G. Pintelas, Ioannis E. Livieris, Dimitris J. Apostolopoulos, Nikolaos D. Papathanasiou, Panagiotis E. Pintelas, George S. Panayiotakis:
Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques. Medical Biol. Eng. Comput. 59(6): 1299-1310 (2021) - [j9]Emmanuel Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panagiotis E. Pintelas:
A novel explainable image classification framework: case study on skin cancer and plant disease prediction. Neural Comput. Appl. 33(22): 15171-15189 (2021) - [j8]Emmanuel Pintelas, Ioannis E. Livieris, Panagiotis E. Pintelas:
A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets. Sensors 21(22): 7731 (2021) - [c6]Emmanuel Pintelas, Ioannis E. Livieris, Nikolaos Barotsis, George Panayiotakis, Panagiotis E. Pintelas:
An Autoencoder Convolutional Neural Network Framework for Sarcopenia Detection Based on Multi-frame Ultrasound Image Slices. AIAI 2021: 209-219 - [c5]Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin:
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) 2021: 50-72 - 2020
- [j7]Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas:
A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability. Algorithms 13(1): 17 (2020) - [j6]Ioannis E. Livieris, Emmanuel Pintelas, Stavros Stavroyiannis, Panayiotis E. Pintelas:
Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series. Algorithms 13(5): 121 (2020) - [j5]Theodore Kotsilieris, Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas:
Predicting anxiety disorders and suicide tendency using machine learning: a review. Int. J. Medical Eng. Informatics 12(6): 599-608 (2020) - [j4]Emmanuel Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas:
Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction. J. Imaging 6(6): 37 (2020) - [j3]Ioannis E. Livieris, Stavros Stavroyiannis, Emmanuel Pintelas, Panayiotis E. Pintelas:
A novel validation framework to enhance deep learning models in time-series forecasting. Neural Comput. Appl. 32(23): 17149-17167 (2020) - [j2]Ioannis E. Livieris, Emmanuel Pintelas, Panayiotis E. Pintelas:
A CNN-LSTM model for gold price time-series forecasting. Neural Comput. Appl. 32(23): 17351-17360 (2020) - [c4]Emmanuel Pintelas, Ioannis E. Livieris, Stavros Stavroyiannis, Theodore Kotsilieris, Panayiotis E. Pintelas:
Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach. AIAI (2) 2020: 99-110 - [c3]Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Stavros Stavroyiannis:
An Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement. AIAI Workshops 2020: 165-176
2010 – 2019
- 2019
- [j1]Ioannis E. Livieris, Emmanuel Pintelas, Panagiotis E. Pintelas:
Gender Recognition by Voice using an Improved Self-Labeled Algorithm. Mach. Learn. Knowl. Extr. 1(1): 492-503 (2019) - 2018
- [c2]Emmanuel G. Pintelas, Theodore Kotsilieris, Ioannis E. Livieris, Panagiotis E. Pintelas:
A review of machine learning prediction methods for anxiety disorders. DSAI 2018: 8-15 - [c1]Vassilis Tampakas, Ioannis E. Livieris, Emmanuel Pintelas, Nikos I. Karacapilidis, Panagiotis P. Pintelas:
Prediction of Students' Graduation Time Using a Two-Level Classification Algorithm. TECH-EDU 2018: 553-565
Coauthor Index
aka: Panagiotis E. Pintelas
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last updated on 2024-10-07 22:12 CEST by the dblp team
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