Ceasefire

Scientific publications

CEASEFIRE innovation often necessitates research, unavoidably leading to novel scientific contributions that are being peer-reviewed and, if accepted, published in the form of papers within the proceedings of scientific conferences (following in-person presentation) or in academic journals. The CEASEFIRE papers that have been published up to now are the following ones:
No. AUTHORS TITLE AVAILABLE AT
1. G. Batsis, I. Mademlis, G. Th. Papadopoulos Illicit item detection in X-ray images for security applications https://ieeexplore.ieee.org/document/10233969
2. I. Mademlis, G. Batsis, A. A. R. Chrysochoou, G. Th. Papadopoulos Visual inspection for illicit items in X-ray images using Deep Learning https://ieeexplore.ieee.org/document/10386207
3. S. Konstantakos, D. I. Chalkiadaki, I. Mademlis, A. A. R. Chrysochoou, G. Th. Papadopoulos Self-supervised visual learning for analyzing firearms trafficking activities on the Web https://ieeexplore.ieee.org/document/10386795
4. A. K. Blitsi, G. Stavropoulos, K. Votis Vision Paper: Uncovering Illegal Firearm Transactions in Cryptocurrency Networks https://ieeexplore.ieee.org/document/10386732
5. M. Makrynioti, C. Porlou, A. Alexiadis, G. Stavropoulos, K. Votis, D. Tzovaras Unveiling Conversational Patterns: Intent Classification and Clustering in Reddit’s Firearm Trade Community https://ieeexplore.ieee.org/document/10386227
6. G. Chatzimarkaki, S. Karagiorgou, M. Konidi, D. Alexandrou, T. Bouras, S. Evangelatos Harvesting Large Textual and Multimedia Data to Detect Illegal Activities on Dark Web Marketplaces https://ieeexplore.ieee.org/document/10386326