Aggeliki Vlachostergiou, George Caridakis, Phivos Mylonas, Andreas Stafylopatis
Learning Representations of Natural Language Texts with Generative Adversarial Networks at Document, Sentence, and Aspect Level
Fabio De Sousa Ribeiro, Francesco Caliv{\`{a}}, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias
Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images
Fabio De Sousa Ribeiro, Francesco Caliv{\`{a}}, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazi{\`{e}}re, Georgios Leontidis, Stefanos D. Kollias
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis
Georgios Tsatiris, Kostas Karpouzis, Stefanos D. Kollias
Applications of human action analysis and recognition on wireless network infrastructures: State of the art and real world challenges
2018 Innovations in Intelligent Systems and Applications, {INISTA} 2018, Thessaloniki, Greece, July 3-5, 2018, 2018
Fabio De Sousa Ribeiro, Francesco Caliv{\`{a}}, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazi{\`{e}}re, Georgios Leontidis, Stefanos D. Kollias
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis
{IEEE} Symposium Series on Computational Intelligence, {SSCI} 2018, Bangalore, India, November 18-21, 2018, 2018
Ilianna Kollia, Stefanos D. Kollias
A Deep Learning Approach for Load Demand Forecasting of Power Systems
{IEEE} Symposium Series on Computational Intelligence, {SSCI} 2018, Bangalore, India, November 18-21, 2018, 2018
Aggeliki Vlachostergiou, Athanasios Tagaris, Andreas Stafylopatis, Stefanos D. Kollias
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
2018 {IEEE} International Conference on Image Processing, {ICIP} 2018, Athens, Greece, October 7-10, 2018, 2018
