Dr Christos Berberidis
Dr Christos Berberidis
University Rank
Team Rank
Team Role
University Rank
Team Rank
Team Role
- Description
Christos has received his PhD from the Department of Informatics of Aristotle University of Thessaloniki. He holds a BSc. from the Department of Informatics of Aristotle University (1998) and an MSc. in Information Systems Engineering from University of Manchester, UK (1999) (UMIST). His research is Machine Learning, mostly on textual data. He is the author of several papers in scientific journals and conference proceedings.
Christos has worked as a visiting researcher at the Department of Computer Sciences of Purdue University (IN, USA). He has worked for three years as an Adjunct Lecturer at the Department of Informatics, of Aristotle University, teaching basic and advanced programming techniques. He has participated in many R&D projects and has also significant experience as a research consultant and project manager in the private sector.
- Research Area
- Latest Publications
Konstantinidis, I., Kapantai, E., Michailidis, A., Deligiannis, A., Berberidis, C., Magnisalis, I., Peristeras, V.,(2024) From document-centric to data-centric public service provision, ACM Digital Government: Research and Practice, Special Issue on Smart Government Development and Applications
Konstantinidis, I., Maragoudakis, M., Magnisalis, I., Berberidis, C., & Peristeras, V. (2022, September). Knowledge-driven Unsupervised Skills Extraction for Graph-based Talent Matching. In Proceedings of the 12th Hellenic Conference on Artificial Intelligence (pp. 1-7). ISO 690
Anagnostou, M., Karvounidou, O., Katritzidaki, C., Kechagia, C., Melidou, K., Mpeza, E., ... & Peristeras, V. (2022). Characteristics and challenges in the industries towards responsible AI: a systematic literature review. Ethics and Information Technology, 24(3), 37. ISO 690
Kapantai, E., Christopoulou, A., Berberidis, C., & Peristeras, V. (2021). A systematic literature review on disinformation: Toward a unified taxonomical framework. New media & society, 23(5), 1301-1326.
Kontopoulos, E., Berberidis, C., Dergiades, T., & Bassiliades, N. (2013). Ontology-based sentiment analysis of twitter posts. Expert systems with applications, 40(10), 4065-4074.
Tzanis, G., Berberidis, C., & Vlahavas, I. (2012). StackTIS: A stacked generalization approach for effective prediction of translation initiation sites. Computers in biology and medicine, 42(1), 61-69.
Befa, M., Kontopoulos, E., Bassiliades, N., Berberidis, C., & Vlahavas, I. P. (2010, August). Deploying a Semantically-Enabled Content Management System in a State University. In EGOVIS (pp. 257-264).
Befa, M., Kontopoulos, E., Bassiliades, N., Berberidis, C., & Vlahavas, I. P. (2010, August). Deploying a Semantically-Enabled Content Management System in a State University. In EGOVIS (pp. 257-264).
Berberidis, C., & Vlahavas, I. (2007). Detection and prediction of rare events in transaction databases. International Journal on Artificial Intelligence Tools, 16(05), 829-848.
Tzanis, G., & Berberidis, C. (2007). Mining for mutually exclusive items in transaction databases. International Journal of Data Warehousing and Mining (IJDWM), 3(3), 45-59.
