Security Education and Awareness for K-6 Going Mobile. - Filippos Giannakas; Georgios Kambourakis; Andreas Papasalouros; Stefanos Gritzalis (Int. J. Interact. Mob. Technol., 2016)

A comprehensive cybersecurity learning platform for elementary education. - Filippos Giannakas; Andreas Papasalouros; Georgios Kambourakis; Stefanos Gritzalis (Inf. Secur. J. A Glob. Perspect., 2019)

Automated reasoning of learners' cognitive states using classification analysis. - Christos Troussas; Akrivi Krouska; Filippos Giannakas; Cleo Sgouropoulou; Ioannis Voyiatzis (PCI, 2020)

Redesigning teaching strategies through an information filtering system. - Christos Troussas; Akrivi Krouska; Filippos Giannakas; Cleo Sgouropoulou; Ioannis Voyiatzis (PCI, 2020)

XGBoost and Deep Neural Network Comparison: The Case of Teams' Performance. - Filippos Giannakas; Christos Troussas; Akrivi Krouska; Cleo Sgouropoulou; Ioannis Voyiatzis (ITS, 2021)

Representation of Generalized Human Cognitive Abilities in a Sophisticated Student Leaderboard. - Christos Troussas; Akrivi Krouska; Filippos Giannakas; Cleo Sgouropoulou; Ioannis Voyiatzis (ITS, 2021)

Enhancing the Effectiveness of Intelligent Tutoring Systems Using Adaptation and Cognitive Diagnosis Modeling. - Akrivi Krouska; Christos Troussas; Filippos Giannakas; Cleo Sgouropoulou; Ioannis Voyiatzis (NiDS, 2021)

An Alternative Educational Tool Through Interactive Software over Facebook in the Era of COVID-19. - Christos Troussas; Akrivi Krouska; Filippos Giannakas; Cleo Sgouropoulou; Ioannis Voyiatzis (NiDS, 2021)

A deep learning classification framework for early prediction of team-based academic performance. - Filippos Giannakas; Christos Troussas; Ioannis Voyiatzis; Cleo Sgouropoulou (Appl. Soft Comput., 2021)

Multi-technique comparative analysis of machine learning algorithms for improving the prediction of teams' performance. - Filippos Giannakas; Christos Troussas; Akrivi Krouska; Cleo Sgouropoulou; Ioannis Voyiatzis (Educ. Inf. Technol., 2022)

Collaborative activities recommendation based on students' collaborative learning styles using ANN and WSM. - Christos Troussas; Filippos Giannakas; Cleo Sgouropoulou; Ioannis Voyiatzis (Interact. Learn. Environ., 2023)

A Closer Look at Machine Learning Effectiveness in Android Malware Detection. - Filippos Giannakas; Vasileios Kouliaridis; Georgios Kambourakis (Inf., 2023)

Blending cybersecurity education with IoT devices: A u-Learning scenario for introducing the man-in-the-middle attack. - Filippos Giannakas; Christos Troussas; Akrivi Krouska; Ioannis Voyiatzis; Cleo Sgouropoulou (Inf. Secur. J. A Glob. Perspect., 2023)