Journals

1. G. Aivatoglou, M. Anastasiadis, G. Spanos, A. Voulgaridis, K. Votis, D. Tzovaras, L. Angelis, "A RAkEL-based methodology to estimate software vulnerability characteristics & score-an application to EU project ECHO", "Multimedia Tools and Applications", Volume 81, Issue 7, pages 9459-9479, 2022, doi.org/10.1007/s11042-021-11073-x
2. S. Polymeni, E. Athanasakis, G. Spanos, K. Votis, D. Tzovaras, "IoT-based prediction models in the environmental context: A systematic Literature Review", Internet of Things, Volume 20, 2022, doi.org/10.1016/j.iot.2022.100612

Conference

1. E. Athanasakis, Z. Sakellariou, G. Darzanos, S. Polymeni, G. Spanos, T. G. Papaioannou, K. Votis, D. Tzovaras, "Trustworthy Decentralized Management and Governance of Internet of Things Data Federations.", In 2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), pages 247-253, November 2023.
2. S. Polymeni, G. Spanos, D. Tsiktsiris, E. Athanasakis, K. Votis, D. Tzovaras, G. Kormentzas, "everWeather: A Low-Cost and Self-Powered AIoT Weather Forecasting Station for Remote Areas.", In 2023 Environmental Informatics, pages 141-158, October 2023.
3. A. Papadopoulos, A. Sersemis, G. Spanos, A. Lalas, C. Liaskos, K. Votis, D. Tzovaras, "Lightweight accident detection model for autonomous fleets based on GPS data.", In 2023 Euro Working Group on Transportation (EWGT), pages 16-23, September 2023.
4. E. Antypas, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "A time-series approach for estimated time of arrival prediction in autonomous vehicles.", In 2023 Euro Working Group on Transportation (EWGT), pages 166-173, September 2023.
5. A. Sersemis, A. Papadopoulos, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "Cybersecurity Oriented Architecture to Ensure the Autonomous Vehicles Communication.", In 2023 31st Mediterranean Conference on Control and Automation (MED), pages 119-124, June 2023.
6. G. Aivatoglou, N. Oikonomou, G. Spanos, K. Livitckaia, K. Votis, D. Tzovaras, "EVENT: Real-time Video Feed Anomaly Detection for Enhanced Security in Autonomous Vehicles.", In 2023 31st Mediterranean Conference on Control and Automation (MED), pages 119-124, June 2023.
7. E. Antypas, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "Estimated Time of Arrival in Autonomous Vehicles Using Gradient Boosting: Real-life case study in public transportation", In 2022 IEEE International Smart Cities Conference (ISC2), pages, 1-7, September 2022
8. M. Anastasiadis, G. Aivatoglou, G. Spanos, A. Voulgaridis, K. Votis, "Combining text analysis techniques with unsupervised machine learning methodologies for improved software vulnerability management", In 2022 IEEE International Conference on Cyber Security and Resilience (CSR), pages 273-278, July 2022
9. A. Sersemis, A. Papadopoulos, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "A Novel Cybersecurity Architecture for IoV Communication", In 25th Pan-Hellenic Conference on Informatics, pages 357-361, November 2021
10. G. Aivatoglou, M. Anastasiadis, G. Spanos, A. Voulgaridis, K. Votis, D. Tzovaras, "A tree-based machine learning methodology to automatically classify software vulnerabilities", In 2021 IEEE International Conference on Cyber Security and Resilience (CSR), pages 312-317, July 2021
11. A. Ketsetsis, K. Giannoutakis, G. Spanos, N. Samaras, D. Hristu-Varsakelis, D. Thomas, D. Tzovaras, "A Comparative Study of Deep Learning Techniques for Financial Indices Prediction", In IFIP International Conference on Artificial Intelligence Applications and Innovations, pages 297-308, June 2021
12. A. Ketsetsis, C. Kourounis, G. Spanos, K. Giannoutakis, P. Pavlidis, D. Vazakidis, T. Champeris, D. Thomas, D. Tzovaras, "Deep learning techniques for stock market prediction in the European union: a systematic review", In 2020 International Conference on Computational Science and Computational Intelligence (CSCI), pages 605-610, December 16-18, 2020, Las Vegas, USA.
13. G. Spanos, K. Giannoutakis, K. Votis, B. Viano, J. Augusto-Gonzalez, G. Aivatoglou, D. Tzovaras, "A lightweight cyber-security defense framework for smart homes", In 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), pages 1–7, 2020
14. G. Spanos, K. Giannoutakis, K. Votis, D. Tzovaras, "Combining statistical and machine learning techniques in iot anomaly detection for smart homes", In 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), pages 1–6, Sep. 2019