Analytics & Machine Learning
Social Networks Analysis
“A survey of Twitter research: Data Model, Graph Structure, Sentiment Analysis and Attacks” Despoina Antonakaki, Sotiris Ioannidis, and Paraskevi Fragopoulou. Expert Systems With Applications (ESWA), 2020.
“Utilizing the average node degree to assess the temporal growth rate of Twitter” Despoina Antonakaki, Sotiris Ioannidis, and Paraskevi Fragopoulou. Social Network Analysis and Mining (SNAM), February 16th, 2018.
“Social media analysis during political turbulence” Despoina Antonakaki, Dimitris Spiliotopoulos, Christos V. Samaras, Polyvios Pratikakis, Sotiris Ioannidis, and Paraskevi Fragopoulou. PLOS One, October 31st, 2017.
“Exploiting abused trending topics to identify spam campaigns in Twitter” Despoina Antonakaki, Iasonas Polakis, Ilias Athanasopoulos, Sotiris Ioannidis, and Paraskevi Fragopoulou. In Social Network Analysis and Mining (SNAM), vol. 6, no. 1, pp. 1-11, December 2016.
Machine Learning for Health Applications
"Automated Mortality Prediction in Critically-ill Patients with Thrombosis using Machine Learning" Vasiliki Danilatou, Despoina Antonakaki, Christos Tzagkarakis, Alexandros Kanterakis, Vasilios Katos and Theodoros Kostoulas. 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), Cincinnati, OH, 2020, pp. 247-254, August 2020.
Machine Learning Enhancements for Security Components
“Botnet Attack Detection at the IoT Edge Based on Sparse Representation” Christos Tzagkarakis, Nikolaos Petroulakis, and Sotiris Ioannidis. In Proceedings of the Global IoT Summit (GIoTS), Aarhus, Denmark, June 2019.
Full publications list here!