Skip to main content
LIST Project TemplateLIST Project Template

Publications acknowledging support from CON-NET

  • Yang, X., Joukovsky, B., & Deligiannis, N. (2023). Relevance propagation through deep conditional random fields. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1–5. https://doi.org/10.1109/ICASSP49357.2023.10095075
  • Najafi, A., & Varol, O. (2024). VRLLab at HSD-2Lang 2024: Turkish hate speech detection online with TurkishBERTweet. Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024), 185–189. Association for Computational Linguistics. Retrieved from https://aclanthology.org/2024.case-1.25
  • Yang, Y., Joukovsky, B., Oramas, J., Tuytelaars, T., & Deligiannis, N. (2024). SNIPPET: A framework for subjective evaluation of visual explanations applied to DeepFake detection. ACM Transactions on Multimedia Computing Communications and Applications. https://doi.org/10.1145/3665248
  • Zouzou, Y., & Varol, O. (2024). Unsupervised detection of coordinated fake-follower campaigns on social media. EPJ Data Science, 13(1), 62. https://doi.org/10.1140/epjds/s13688-024-00499-6
  • Yang, Y., Moremada, C., & Deligiannis, N. (2024). On the detection of images generated from text. Proceedings of the IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/ICIP51287.2024.10648177
  • Najafi, A., & Varol, O. (2024). TurkishBERTweet: Fast and reliable large language model for social media analysis. Expert Systems with Applications, 255, 124737. https://doi.org/10.1016/j.eswa.2024.124737

The CON-NET project has received funding from the following 4 agencies: FNR (Luxembourg), AKA (Finland), TÜBITAK (Turkey), IRC (Ireland).