| 2025 | WEBIST | Eye-Based Cognitive Overload Prediction in Human-Machine Interaction via Machine Learning. | Maria Trigka, Elias Dritsas, Phivos Mylonas |
| 2024 | WEBIST | Application of Machine Learning Models to Predict e-Learning Engagement Using EEG Data. | Elias Dritsas, Maria Trigka, Phivos Mylonas |
| 2023 | IC3K | Machine Learning Models for Prostate Cancer Identification. | Elias Dritsas, Maria Trigka, Phivos Mylonas |
| 2023 | Interact | Influences of Cognitive Styles on EEG-Based Activity: An Empirical Study on Visual Content Comprehension. | Maria Trigka, Georgios Papadoulis, Elias Dritsas, Christos Fidas |
| 2022 | INISTA | Efficient Data-driven Machine Learning Models for Hypertension Risk Prediction. | Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas |
| 2021 | IJCCI | Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database. | Nikos Fazakis, Elias Dritsas, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas |
| 2021 | IJCCI | Sleep Quality Monitoring with Human Assisted Corrections. | Ioannis Konstantoulas, Otilia Kocsis, Elias Dritsas, Nikos Fakotakis, Konstantinos Moustakas |
| 2017 | EANN | Bloom Filters for Efficient Coupling Between Tables of a Database. | Eirini Chioti, Elias Dritsas, Andreas Kanavos, Xenophon Liapakis, Spyros Sioutas, Athanasios K. Tsakalidis |