Jorgen Cani

According to our database, Jorgen Cani authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Self-supervised visual learning in the low-data regime: A comparative evaluation.

Sotirios Konstantakos, Jorgen Cani, Ioannis Mademlis, Despina Ioanna Chalkiadaki, Yuki M. Asano, Efstratios Gavves, Georgios Th. Papadopoulos

Neurocomputing, 2025

2024

CEASEFIRE: An AI-powered system for combatting illicit firearms trafficking.

Ioannis Mademlis, Jorgen Cani, Marina Mancuso, Caterina Paternoster, Emmanouil Adamakis, George Margetis, Sylvie Chambon, Alain Crouzil, Loubna Lechelek, Georgia Dede, Spyridon C. Evangelatos, George Lalas, Franck Mignet, Pantelis Linardatos, Konstantinos Kentrotis, Henryk Gierszal, Piotr Tyczka, Sophia Karagiorgou, George Pantelis, Georgios Stavropoulos, Konstantinos Votis, Georgios Th. Papadopoulos

CoRR, 2024

Illicit object detection in X-ray images using Vision Transformers.

Jorgen Cani, Ioannis Mademlis, Adamantia Anna Rebolledo Chrysochoou, Georgios Th. Papadopoulos

CoRR, 2024

Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment.

Artemis Stefanidou, Jorgen Cani, Thomas Papadopoulos, Panagiotis I. Radoglou-Grammatikis, Panagiotis G. Sarigiannidis, Iraklis Varlamis, Georgios Th. Papadopoulos

Proceedings of the IEEE International Conference on Big Data, 2024

CEASEFIRE: An AI-Powered System for Combating Illicit Firearms Trafficking.

Jorgen Cani, Ioannis Mademlis, Marina Mancuso, Caterina Paternoster, Emmanouil Adamakis, George Margetis, Sylvie Chambon, Alain Crouzil, Loubna Lechelek, Georgia Dede, Spyridon Evangelatos, George Lalas, Franck Mignet, Pantelis Linardatos, Konstantinos Kentrotis, Henryk Gierszal, Piotr Tyczka, Sophia Karagiorgou, George Pantelis, Georgios Stavropoulos, Konstantinos Votis, Georgios Th. Papadopoulos

Proceedings of the IEEE International Conference on Big Data, 2024

AAG: Adversarial Attack Generator for evaluating the robustness of Machine Learning Models against Adversarial Attacks.

Dimitrios Christos Asimopoulos, Panagiotis I. Radoglou-Grammatikis, Thomas Lagkas, Vasileios Argyriou, Ioannis D. Moscholios, Jorgen Cani, Georgios Th. Papadopoulos, Evangelos K. Markakis, Panagiotis G. Sarigiannidis

Proceedings of the IEEE International Conference on Big Data, 2024