A review of machine learning prediction methods for anxiety disorders. - Emmanuel G. Pintelas; Theodore Kotsilieris; Ioannis E. Livieris; Panagiotis E. Pintelas (DSAI, 2018)

Prediction of Students' Graduation Time Using a Two-Level Classification Algorithm. - Vassilis Tampakas; Ioannis E. Livieris; Emmanuel Pintelas; Nikos I. Karacapilidis; Panagiotis E. Pintelas (TECH-EDU, 2018)

Gender Recognition by Voice using an Improved Self-Labeled Algorithm. - Ioannis E. Livieris; Emmanuel Pintelas; Panagiotis E. Pintelas (Mach. Learn. Knowl. Extr., 2019)

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 (AIAI (Workshops), 2020)

Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach. - Emmanuel Pintelas; Ioannis E. Livieris; Stavros Stavroyiannis; Theodore Kotsilieris; Panayiotis E. Pintelas (AIAI (2), 2020)

Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series. - Ioannis E. Livieris; Emmanuel Pintelas; Stavros Stavroyiannis; Panayiotis E. Pintelas (Algorithms, 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)

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)

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)

A CNN-LSTM model for gold price time-series forecasting. - Ioannis E. Livieris; Emmanuel Pintelas; Panayiotis E. Pintelas (Neural Comput. Appl., 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)

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 001; Panagiotis E. Pintelas (AIAI, 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 001; Isabelle Guyon; Joël Roman Ky; Xian Yeow Lee; Xin Liu; Felix Mohr; et al. (NeurIPS (Competition and Demos), 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)

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)

A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets. - Emmanuel Pintelas; Ioannis E. Livieris; Panagiotis E. Pintelas (Sensors, 2021)

A 3D-CAE-CNN model for Deep Representation Learning of 3D images. - Emmanuel Pintelas; Panayiotis E. Pintelas (Eng. Appl. Artif. Intell., 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 Deep Learning-Based Methodology for Detecting and Visualizing Continuous Gravitational Waves. - Emmanuel Pintelas; Ioannis E. Livieris; Panagiotis E. Pintelas (AIAI (1), 2023)

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. - Ioannis E. Livieris; Emmanuel Pintelas; Niki Kiriakidou; Panayiotis E. Pintelas (J. Imaging, 2023)

Intrinsic interpretable machine learning frameworks for image classification - Emmanuel Pintelas (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., 2023)

A Natural Language Processing Framework for Hotel Recommendation Based on Users' Text Reviews. - Lavrentia Aravani; Emmanuel Pintelas; Christos Pierrakeas; Panagiotis Pintelas (CoRR, 2024)

Adaptive augmentation framework for domain independent few shot learning. - Emmanuel Pintelas; Ioannis E. Livieris; Panayiotis E. Pintelas (Knowl. Based Syst., 2024)

Convolutional neural network framework for deepfake detection: A diffusion-based approach. - Emmanuel Pintelas; Ioannis E. Livieris (Comput. Vis. Image Underst., 2025)

Feature augmentation-based CNN framework for skin-cancer diagnosis. - Emmanuel Pintelas; Ioannis E. Livieris; Vasilis Tampakas; Panayiotis E. Pintelas (Evol. Syst., 2025)

Researching the detection of continuous gravitational waves based on signal processing and ensemble learning. - Emmanuel Pintelas; Ioannis E. Livieris; Panayiotis E. Pintelas (Neural Comput. Appl., 2025)