Aggeliki Vlachostergiou, George Caridakis, Phivos Mylonas, Andreas Stafylopatis
Learning Representations of Natural Language Texts with Generative Adversarial Networks at Document, Sentence, and Aspect Level
Algorithms, 2018
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
CoRR, 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
CoRR, 2018
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