Athanasios Tagaris

Machine Learning for Neurodegenerative Disorder Diagnosis - Survey of Practices and Launch of Benchmark Dataset

Andreas Stafylopatis, Stefanos D. Kollias, Dimitrios Kollias, 2018, Int. J. Artif. Intell. Tools.

Advancing the Terminological Classification of Semi-structured Documents

Andreas Stafylopatis, Georgios Siolas, Georgios Stratogiannis, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Investigating the Best Performing Task Conditions of a Multi-Tasking Learning Model in Healthcare Using Convolutional Neural Networks: Evidence from a Parkinson'S Disease Database

Andreas Stafylopatis, Stefanos D. Kollias, Aggeliki Vlachostergiou, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Adaptation and contextualization of deep neural network models

Andreas Stafylopatis, Stefanos D. Kollias, Dimitrios Kollias, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

On line emotion detection using retrainable deep neural networks

Andreas Stafylopatis, Dimitrios Kollias, Athanasios Tagaris, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Multi-Task Learning for Predicting Parkinson's Disease Based on Medical Imaging Information

Andreas Stafylopatis, Stefanos D. Kollias, Aggeliki Vlachostergiou, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Deep neural architectures for prediction in healthcare

Andreas Stafylopatis, Stefanos Kollias, Dimitrios Kollias, 2017, Complex & Intelligent Systems.

Assessment of Parkinson's Disease Based on Deep Neural Networks

Andreas Stafylopatis, Dimitrios Kollias, Athanasios Tagaris, 2017, EANN.