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67 papers · 1 filter
Alzheimer's Disease Diagnosis using a Multimodal Approach with 3D MRI and PET
Loukas Ilias, Anthi-Maria Vozinaki, Christos Ntanos +1
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder and a leading cause of death worldwide. Early diagnosis plays an important part especially at the Mild Cognit…
A Comparative Analysis on the Performance of Upper Confidence Bound Algorithms in Adaptive Deep Neural Networks
Grigorios Papanikolaou, Ioannis Kontopoulos, Konstantinos Tserpes
Edge computing environments impose strict constraints on energy consumption and latency, making the deployment of deep neural networks a significant challenge. Therefore, smart and…
Chunked Data Shapley: A Scalable Dataset Quality Assessment for Machine Learning
Andreas Loizou, Dimitrios Tsoumakos
As the volume and diversity of available datasets continue to increase, assessing data quality has become crucial for reliable and efficient Machine Learning analytics. A modern, g…
MAx-DNN: Multi-Level Arithmetic Approximation for Energy-Efficient DNN Hardware Accelerators
Vasileios Leon, Georgios Makris, Sotirios Xydis +2
Nowadays, the rapid growth of Deep Neural Network (DNN) architectures has established them as the defacto approach for providing advanced Machine Learning tasks with excellent accu…
Wildfire spread forecasting with Deep Learning
Nikolaos Anastasiou, Spyros Kondylatos, Ioannis Papoutsis
Accurate prediction of wildfire spread is crucial for effective risk management, emergency response, and strategic resource allocation. In this study, we present a deep learning (D…
A modular framework for automated evaluation of procedural content generation in serious games with deep reinforcement learning agents
Eleftherios Kalafatis, Konstantinos Mitsis, Konstantia Zarkogianni +2
Serious Games (SGs) are nowadays shifting focus to include procedural content generation (PCG) in the development process as a means of offering personalized and enhanced player ex…