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ORCIDSofia Yfantidou
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2020 – today
- 2025
[i11]Pavlos Sermpezis, Stelios Karamanidis, Eva Paraschou, Ilias Dimitriadis, Sofia Yfantidou, Filitsa-Ioanna Kouskouveli, Thanasis Troboukis, Kelly Kiki, Antonis Galanopoulos, Athena Vakali:
AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI. CoRR abs/2501.06265 (2025)- 2024
- [c11]Sofia Yfantidou
, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Using Self-supervised Learning Can Improve Model Fairness. KDD 2024: 3942-3953 - [c10]Maria Liatsikou, Sofia Yfantidou, Athena Vakali:
Assessing Bias in Self-supervised and Supervised Models for Temporal Data. SETN 2024: 1:1-1:7 - [i10]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data. CoRR abs/2401.01640 (2024) - [i9]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Using Self-supervised Learning Can Improve Model Fairness. CoRR abs/2406.02361 (2024) - 2023
- [j2]Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali:
14 Years of Self-Tracking Technology for mHealth - Literature Review: Lessons Learned and the PAST SELF Framework. ACM Trans. Comput. Heal. 4(3): 17:1-17:43 (2023) - [j1]Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali, Ricardo Baeza-Yates:
Uncovering Bias in Personal Informatics. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 139:1-139:30 (2023) - [c9]Christina Karagianni, Eva Paraschou, Sofia Yfantidou, Athena Vakali:
MINDSET: A benchMarking suIte exploring seNsing Data for SElf sTates inference. DSAA 2023: 1-10 - [c8]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Tong Xia, Niels van Berkel:
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. UbiComp/ISWC Adjunct 2023: 777-783 - [c7]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
The State of Algorithmic Fairness in Mobile Human-Computer Interaction. MobileHCI (Companion) 2023: 19:1-19:7 - [c6]Eva Paraschou, Sofia Yfantidou, Athena Vakali:
UnStressMe: Explainable Stress Analytics and Self-tracking Data Visualizations. PerCom Workshops 2023: 340-342 - [c5]Vasiliki Parousidou, Sofia Yfantidou, Christina Karagianni, Athena Vakali:
Stress Beats: A Continuum of Learning Methods for Personalized Stress Detection. WI/IAT 2023: 40-47 - [i8]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing. CoRR abs/2303.15585 (2023) - [i7]Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali, Ricardo Baeza-Yates:
Uncovering Bias in Personal Informatics. CoRR abs/2303.15592 (2023) - [i6]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
The State of Algorithmic Fairness in Mobile Human-Computer Interaction. CoRR abs/2307.12075 (2023) - [i5]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Tong Xia, Niels van Berkel:
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. CoRR abs/2309.12877 (2023) - [i4]Sofia Yfantidou, Georgia Yfantidou, Panagiota Balaska, Athena Vakali:
Negotiation Strategies in Ubiquitous Human-Computer Interaction: A Novel Storyboards Scale & Field Study. CoRR abs/2311.04705 (2023) - 2022
- [c4]Asterios Bampakis, Sofia Yfantidou, Athena Vakali:
UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions. HealthCom 2022: 56-62 - [c3]Dimitrios Panteleimon Giakatos, Sofia Yfantidou, Stefanos Efstathiou, Athena Vakali:
WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization. PerCom Workshops 2022: 76-78 - [c2]Dimitrios Vasdekis, Sofia Yfantidou, Stefanos Efstathiou, Athena Vakali:
WeMoD: A Machine Learning Approach for Wearable and Mobile Physical Activity Prediction. PerCom Workshops 2022: 385-390 - [c1]Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali:
12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock & Thinking Ahead. UMAP (Adjunct Publication) 2022: 211-221 - [d2]Sofia Yfantidou, Christina Karagianni, Stefanos Efstathiou, Athena Vakali, Joao Palotti, Dimitrios Panteleimon Giakatos, Thomas Marchioro, Andrei Kazlouski, Elena Ferrari, Sarunas Girdzijauskas:
LifeSnaps: a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild. Version 3. Zenodo, 2022 [all versions]
- [d1]Sofia Yfantidou, Christina Karagianni, Stefanos Efstathiou, Athena Vakali, Joao Palotti, Dimitrios Panteleimon Giakatos, Thomas Marchioro, Andrei Kazlouski, Elena Ferrari, Sarunas Girdzijauskas:
LifeSnaps: a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild. Version 4. Zenodo, 2022 [all versions] - [i3]Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali:
12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock and Thinking Ahead. CoRR abs/2206.01421 (2022) - [i2]Asterios Bampakis, Sofia Yfantidou, Athena Vakali:
UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions. CoRR abs/2212.14731 (2022) - 2021
- [i1]Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali:
Self-Tracking Technology for mHealth: A Systematic Review and the PAST SELF Framework. CoRR abs/2104.11483 (2021)
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