| 2024 | HIC | FairComp: 2nd International Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. | Lakmal Meegahapola, Dimitris Spathis, Marios Constantinides, Han Zhang, Sofia Yfantidou, Niels van Berkel, Anind K. Dey |
| 2024 | KDD | Using Self-supervised Learning Can Improve Model Fairness. | Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar |
| 2023 | DSAA | MINDSET: A benchMarking suIte exploring seNsing Data for SElf sTates inference. | Christina Karagianni, Eva Paraschou, Sofia Yfantidou, Athena Vakali |
| 2023 | PERCOM | UnStressMe: Explainable Stress Analytics and Self-tracking Data Visualizations. | Eva Paraschou, Sofia Yfantidou, Athena Vakali |
| 2022 | HealthCom | UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions. | Asterios Bampakis, Sofia Yfantidou, Athena Vakali |
| 2022 | PERCOM | WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization. | Dimitrios Panteleimon Giakatos, Sofia Yfantidou, Stefanos Efstathiou, Athena Vakali |
| 2022 | PERCOM | WeMoD: A Machine Learning Approach for Wearable and Mobile Physical Activity Prediction. | Dimitrios Vasdekis, Sofia Yfantidou, Stefanos Efstathiou, Athena Vakali |