We’re happy to share that two of our papers have been accepted for publication in the Special Issue on Advances in Disinformation Detection and Media Forensics (A2DMF) in Pattern Recognition Letters.
📚 Accepted Papers
- Continual learning for adaptive social network identification by Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, and Alessandro Piva
- Uncovering the authorship: Linking media content to social user profiles by Daniele Baracchi, Dasara Shullani, Massimo Iuliani, Damiano Giani, and Alessandro Piva
The first accepted paper is the result of a fruitful collaboration with Simone Magistri and Prof. Andrew D. Bagdanov from the MICC Laboratory of the University of Florence. This collaborative effort underscores the strength of partnerships and knowledge exchange within the research community. Furthermore, the second accepted paper is the continuation of a study conducted by Damiano during his master’s thesis work, demonstrating the quality of the work carried out by students at the end of their academic journey.
About the authors
Damiano recently completed his master’s studies at the University of Florence. Daniele, Dasara, Simone, and Massimo are postdoctoral researchers in the Department of Information Engineering at the University of Florence. Andrew and Alessandro are Associate Professors in the Deparment of Information Engineering at the University of Florence.