| Time Series Databases and InfluxDB SNZ Naqvi, S Yfantidou, E Zimányi Universite Libre de Bruxelles. Available online: http://cs. ulb. ac. be …, 2017 | 229 | 2017 |
| 14 Years of Self-Tracking Technology for mHealth-Literature Review: Lessons Learnt and the PAST SELF Framework S Yfantidou, P Sermpezis, A Vakali ACM Transactions on Computing for Healthcare, 2023 | 25* | 2023 |
| Beyond accuracy: a critical review of fairness in machine learning for mobile and wearable computing S Yfantidou, M Constantinides, D Spathis, A Vakali, D Quercia, F Kawsar arXiv preprint arXiv:2303.15585, 2023 | 18 | 2023 |
| LifeSnaps, a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild S Yfantidou, C Karagianni, S Efstathiou, A Vakali, J Palotti, DP Giakatos, ... Scientific Data 9 (1), 663, 2022 | 15 | 2022 |
| Uncovering Bias in Personal Informatics S Yfantidou, P Sermpezis, A Vakali, R Baeza-Yates Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (3), 30, 2023 | 7 | 2023 |
| 12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock and Thinking Ahead S Yfantidou, P Sermpezis, A Vakali Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation …, 2022 | 7 | 2022 |
| Wemod: A machine learning approach for wearable and mobile physical activity prediction D Vasdekis, S Yfantidou, S Efstathiou, A Vakali 2022 IEEE International Conference on Pervasive Computing and Communications …, 2022 | 5 | 2022 |
| Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data S Yfantidou, D Spathis, M Constantinides, A Vakali, D Quercia, F Kawsar Human-Centric Representation Learning workshop at AAAI 2024, 2024 | 4 | 2024 |
| FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing S Yfantidou, D Spathis, M Constantinides, T Xia, N Van Berkel Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023 | 3 | 2023 |
| The state of algorithmic fairness in mobile human-computer interaction S Yfantidou, M Constantinides, D Spathis, A Vakali, D Quercia, F Kawsar Proceedings of the 25th International Conference on Mobile Human-Computer …, 2023 | 3 | 2023 |
| MINDSET: A benchMarking suIte exploring seNsing Data for SElf sTates inference C Karagianni, E Paraschou, S Yfantidou, A Vakali 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 2 | 2023 |
| UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions A Bampakis, S Yfantidou, A Vakali 2022 IEEE International Conference on E-health Networking, Application …, 2022 | 2 | 2022 |
| Using Self-supervised Learning Can Improve Model Fairness S Yfantidou, D Spathis, M Constantinides, A Vakali, D Quercia, F Kawsar Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI P Sermpezis, S Karamanidis, E Paraschou, I Dimitriadis, S Yfantidou, ... arXiv preprint arXiv:2501.06265, 2025 | | 2025 |
| FairComp: 2nd International Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing L Meegahapola, D Spathis, M Constantinides, H Zhang, S Yfantidou, ... Companion of the 2024 on ACM International Joint Conference on Pervasive and …, 2024 | | 2024 |
| Negotiation strategies in ubiquitous human-computer interaction: a novel storyboards scale & field study S Yfantidou, G Yfantidou, P Balaska, A Vakali Multimedia Tools and Applications, 1-35, 2024 | | 2024 |
| Assessing Bias in Self-supervised and Supervised Models for Temporal Data M Liatsikou, S Yfantidou, A Vakali Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 1-7, 2024 | | 2024 |
| Stress Beats: a continuum of learning methods for personalized stress detection V Parousidou, S Yfantidou, C Karagianni, A Vakali 2023 IEEE International Conference on Web Intelligence and Intelligent Agent …, 2023 | | 2023 |
| UnStressMe: Explainable Stress Analytics and Self-tracking Data Visualizations E Paraschou, S Yfantidou, A Vakali 2023 IEEE International Conference on Pervasive Computing and Communications …, 2023 | | 2023 |
| WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization DP Giakatos, S Yfantidou, S Efstathiou, A Vakali 2022 IEEE International Conference on Pervasive Computing and Communications …, 2022 | | 2022 |
Athena VakaliProfessor of Computer Science, Aristotle Universitycsd.auth.gr의 이메일 확인됨