no code implementations • 20 Jun 2024 • Pantelis Dogoulis, Matthieu Jimenez, Salah Ghamizi, Maxime Cordy, Yves Le Traon
This paper analyzes the robustness of state-of-the-art AI-based models for power grid operations under the $N-1$ security criterion.
1 code implementation • 24 Apr 2023 • Pantelis Dogoulis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris, Symeon Papadopoulos
New advancements for the detection of synthetic images are critical for fighting disinformation, as the capabilities of generative AI models continuously evolve and can lead to hyper-realistic synthetic imagery at unprecedented scale and speed.
no code implementations • 24 Jan 2023 • Vasileios E. Papageorgiou, Pantelis Dogoulis, Dimitrios-Panagiotis Papageorgiou
The automated detection of cancerous tumors has attracted interest mainly during the last decade, due to the necessity of early and efficient diagnosis that will lead to the most effective possible treatment of the impending risk.