Emmanuel Pintelas

According to our database, Emmanuel Pintelas authored at least 23 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A multi-view-CNN framework for deep representation learning in image classification.

Emmanuel Pintelas, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas

Comput. Vis. Image Underst., July, 2023

Intrinsic interpretable machine learning frameworks for image classification

Emmanuel Pintelas

PhD thesis, 2023

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM.

Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Panayiotis E. Pintelas

J. Imaging, 2023

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM.

Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Panagiotis P. Pintelas

CoRR, 2023

A Deep Learning-Based Methodology for Detecting and Visualizing Continuous Gravitational Waves.

Emmanuel Pintelas, Ioannis E. Livieris, Panagiotis P. Pintelas

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022

A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index.

Ioannis E. Livieris, Stavros Stavroyiannis, Emmanuel Pintelas, Theodore Kotsilieris, Panayiotis E. Pintelas

Evol. Syst., 2022

A 3D-CAE-CNN model for Deep Representation Learning of 3D images.

Emmanuel Pintelas, Panayiotis E. Pintelas

Eng. Appl. Artif. Intell., 2022

2021

A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets.

Emmanuel Pintelas, Ioannis E. Livieris, Panagiotis E. Pintelas

Sensors, 2021

A novel explainable image classification framework: case study on skin cancer and plant disease prediction.

Emmanuel Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panagiotis E. Pintelas

Neural Comput. Appl., 2021

Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques.

Ioannis D. Apostolopoulos, Emmanuel G. Pintelas, Ioannis E. Livieris, Dimitris J. Apostolopoulos, Nikolaos D. Papathanasiou, Panagiotis E. Pintelas, George S. Panayiotakis

Medical Biol. Eng. Comput., 2021

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

An Autoencoder Convolutional Neural Network Framework for Sarcopenia Detection Based on Multi-frame Ultrasound Image Slices.

Emmanuel Pintelas, Ioannis E. Livieris, Nikolaos Barotsis, George Panayiotakis, Panagiotis E. Pintelas

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2020

A novel validation framework to enhance deep learning models in time-series forecasting.

Ioannis E. Livieris, Stavros Stavroyiannis, Emmanuel Pintelas, Panayiotis E. Pintelas

Neural Comput. Appl., 2020

A CNN-LSTM model for gold price time-series forecasting.

Ioannis E. Livieris, Emmanuel Pintelas, Panayiotis E. Pintelas

Neural Comput. Appl., 2020

Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction.

Emmanuel Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas

J. Imaging, 2020

Predicting anxiety disorders and suicide tendency using machine learning: a review.

Theodore Kotsilieris, Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas

Int. J. Medical Eng. Informatics, 2020

A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability.

Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas

Algorithms, 2020

Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series.

Ioannis E. Livieris, Emmanuel Pintelas, Stavros Stavroyiannis, Panayiotis E. Pintelas

Algorithms, 2020

Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach.

Emmanuel Pintelas, Ioannis E. Livieris, Stavros Stavroyiannis, Theodore Kotsilieris, Panayiotis E. Pintelas

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

An Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement.

Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Stavros Stavroyiannis

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops, 2020

2019

Gender Recognition by Voice using an Improved Self-Labeled Algorithm.

Ioannis E. Livieris, Emmanuel Pintelas, Panagiotis E. Pintelas

Mach. Learn. Knowl. Extr., 2019

2018

Prediction of Students' Graduation Time Using a Two-Level Classification Algorithm.

Vassilis Tampakas, Ioannis E. Livieris, Emmanuel Pintelas, Nikos I. Karacapilidis, Panagiotis P. Pintelas

Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2018

A review of machine learning prediction methods for anxiety disorders.

Emmanuel G. Pintelas, Theodore Kotsilieris, Ioannis E. Livieris, Panagiotis E. Pintelas

Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2018