Sofia Yfantidou

According to our database, Sofia Yfantidou authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data.

Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar

CoRR, 2024

Using Self-supervised Learning Can Improve Model Fairness.

Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Uncovering Bias in Personal Informatics.

Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali, Ricardo Baeza-Yates

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

14 Years of Self-Tracking Technology for mHealth - Literature Review: Lessons Learned and the PAST SELF Framework.

Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali

ACM Trans. Comput. Heal., July, 2023

Negotiation Strategies in Ubiquitous Human-Computer Interaction: A Novel Storyboards Scale & Field Study.

Sofia Yfantidou, Georgia Yfantidou, Panagiota Balaska, Athena Vakali

CoRR, 2023

Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing.

Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar

CoRR, 2023

Stress Beats: A Continuum of Learning Methods for Personalized Stress Detection.

Vasiliki Parousidou, Sofia Yfantidou, Christina Karagianni, Athena Vakali

Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

UnStressMe: Explainable Stress Analytics and Self-tracking Data Visualizations.

Eva Paraschou, Sofia Yfantidou, Athena Vakali

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

The State of Algorithmic Fairness in Mobile Human-Computer Interaction.

Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar

Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, 2023

FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing.

Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Tong Xia, Niels van Berkel

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

MINDSET: A benchMarking suIte exploring seNsing Data for SElf sTates inference.

Christina Karagianni, Eva Paraschou, Sofia Yfantidou, Athena Vakali

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

LifeSnaps: a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild.

Sofia Yfantidou, Christina Karagianni, Stefanos Efstathiou, Athena Vakali, Joao Palotti, Dimitrios Panteleimon Giakatos, Thomas Marchioro, Andrei Kazlouski, Elena Ferrari, Sarunas Girdzijauskas

Dataset, July, 2022

LifeSnaps: a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild.

Sofia Yfantidou, Christina Karagianni, Stefanos Efstathiou, Athena Vakali, Joao Palotti, Dimitrios Panteleimon Giakatos, Thomas Marchioro, Andrei Kazlouski, Elena Ferrari, Sarunas Girdzijauskas

Dataset, July, 2022

12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock and Thinking Ahead.

Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali

CoRR, 2022

12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock & Thinking Ahead.

Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

WeMoD: A Machine Learning Approach for Wearable and Mobile Physical Activity Prediction.

Dimitrios Vasdekis, Sofia Yfantidou, Stefanos Efstathiou, Athena Vakali

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization.

Dimitrios Panteleimon Giakatos, Sofia Yfantidou, Stefanos Efstathiou, Athena Vakali

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions.

Asterios Bampakis, Sofia Yfantidou, Athena Vakali

Proceedings of the IEEE International Conference on E-health Networking, 2022

2021

Self-Tracking Technology for mHealth: A Systematic Review and the PAST SELF Framework.

Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali

CoRR, 2021