Emmanuel G. Pintelas

发表

A review of machine learning prediction methods for anxiety disorders

Panayiotis E. Pintelas, Theodore Kotsilieris, Ioannis E. Livieris, 2018, DSAI.

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

Ioannis E. Livieris, Panayiotis E. Pintelas, Emmanuel G. Pintelas, 2020, Algorithms.

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

Theodore Kotsilieris, Ioannis E. Livieris, Panayiotis E. Pintelas, 2020, Int. J. Medical Eng. Informatics.

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

Panayiotis E. Pintelas, Ioannis E. Livieris, Emmanuel G. Pintelas, 2021, Sensors.

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

Panayiotis E. Pintelas, George Panayiotakis, Ioannis E. Livieris, 2021, AIAI.

Predicting Protein Localization Sites Using an Ensemble Self-Labeled Framework

Emmanuel G. Pintelas, P. Pintelas, 2018, Biomedical Journal of Scientific & Technical Research.

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

Emmanuel G. Pintelas, P. Pintelas, 2022, Eng. Appl. Artif. Intell..

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

Emmanuel G. Pintelas, I. Livieris, P. Pintelas, 2020, Neural Computing and Applications.

Gender Recognition by Voice using an Improved Self-Labeled Algorithm

Ioannis E. Livieris, Emmanuel Pintelas, Panayiotis E. Pintelas, 2019, Mach. Learn. Knowl. Extr..

An Improved Self-Labeled Algorithm for Cancer Prediction.

Andreas Kanavos, Panagiotis Pintelas, Emmanuel Pintelas, 2020, Advances in experimental medicine and biology.

Weight-Constrained Neural Networks in Forecasting Tourist Volumes: A Case Study

Theodore Kotsilieris, Ioannis E. Livieris, Emmanuel Pintelas, 2019, Electronics.

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

Sotiris Kotsiantis, Ioannis E. Livieris, Panagiotis Pintelas, 2021, Neural Computing and Applications.

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

Ioannis E. Livieris, Panagiotis Pintelas, Emmanuel Pintelas, 2020, Neural Computing and Applications.

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

Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, 2020, AIAI Workshops.

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

Ioannis E. Livieris, Panagiotis Pintelas, Emmanuel Pintelas, 2020, Neural Computing and Applications.

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

Ioannis D. Apostolopoulos, Emmanuel G. Pintelas, George S Panayiotakis, 2021, Medical & Biological Engineering & Computing.

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

Ioannis E. Livieris, Panagiotis Pintelas, Sotiris Kotsiantis, 2020, J. Imaging.

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

Theodore Kotsilieris, Ioannis E. Livieris, Panagiotis Pintelas, 2021, Evol. Syst..

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

Theodore Kotsilieris, Ioannis E. Livieris, Panagiotis Pintelas, 2020, AIAI.

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

Emmanuel G. Pintelas, I. Livieris, P. Pintelas, 2020, Neural Computing and Applications.

Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series

Ioannis E. Livieris, Panagiotis Pintelas, Emmanuel Pintelas, 2020, Algorithms.

XSC—An eXplainable Image Segmentation and Classification Framework: A Case Study on Skin Cancer

Emmanuel G. Pintelas, I. Livieris, 2023, Electronics.

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

Nikos Karacapilidis, Ioannis E. Livieris, Vassilis Tampakas, 2018, TECH-EDU.

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

Emmanuel G. Pintelas, T. Kotsilieris, P. Pintelas, 2020, Int. J. Medical Eng. Informatics.

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

Emmanuel G. Pintelas, S. Kotsiantis, I. Livieris, 2023, Comput. Vis. Image Underst..

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM

Emmanuel G. Pintelas, I. Livieris, Niki Kiriakidou, 2023, Journal of imaging.