Self-Tracking Technology for mHealth: A Systematic Review and the PAST SELF Framework. - Sofia Yfantidou; Pavlos Sermpezis; Athena Vakali (CoRR, 2021)

UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions. - Asterios Bampakis; Sofia Yfantidou; Athena Vakali (HealthCom, 2022)

WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization. - Dimitrios Panteleimon Giakatos; Sofia Yfantidou; Stefanos Efstathiou; Athena Vakali (PerCom Workshops, 2022)

WeMoD: A Machine Learning Approach for Wearable and Mobile Physical Activity Prediction. - Dimitrios Vasdekis; Sofia Yfantidou; Stefanos Efstathiou; Athena Vakali (PerCom Workshops, 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 (UMAP (Adjunct Publication), 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)

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 001; Sarunas Girdzijauskas (Zenodo, 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 001; Sarunas Girdzijauskas (Zenodo, 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 001; Sarunas Girdzijauskas (Zenodo, 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 001; Sarunas Girdzijauskas (Zenodo, 2022)

MINDSET: A benchMarking suIte exploring seNsing Data for SElf sTates inference. - Christina Karagianni; Eva Paraschou; Sofia Yfantidou; Athena Vakali (DSAA, 2023)

FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. - Sofia Yfantidou; Dimitris Spathis; Marios Constantinides; Tong Xia; Niels van Berkel (UbiComp/ISWC Adjunct, 2023)

The State of Algorithmic Fairness in Mobile Human-Computer Interaction. - Sofia Yfantidou; Marios Constantinides; Dimitris Spathis; Athena Vakali; Daniele Quercia; Fahim Kawsar (MobileHCI (Companion), 2023)

UnStressMe: Explainable Stress Analytics and Self-tracking Data Visualizations. - Eva Paraschou; Sofia Yfantidou; Athena Vakali (PerCom Workshops, 2023)

Stress Beats: A Continuum of Learning Methods for Personalized Stress Detection. - Vasiliki Parousidou; Sofia Yfantidou; Christina Karagianni; Athena Vakali (WI/IAT, 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)

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., 2023)

Uncovering Bias in Personal Informatics. - Sofia Yfantidou; Pavlos Sermpezis; Athena Vakali; Ricardo Baeza-Yates (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Using Self-supervised Learning Can Improve Model Fairness. - Sofia Yfantidou; Dimitris Spathis; Marios Constantinides; Athena Vakali; Daniele Quercia; Fahim Kawsar (KDD, 2024)

Assessing Bias in Self-supervised and Supervised Models for Temporal Data. - Maria Liatsikou; Sofia Yfantidou; Athena Vakali (SETN, 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)

AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI. - Pavlos Sermpezis; Stelios Karamanidis; Eva Paraschou; Ilias Dimitriadis; Sofia Yfantidou; Filitsa-Ioanna Kouskouveli; Thanasis Troboukis; Kelly Kiki; Antonis Galanopoulos; Athina Vakali (Zenodo, 2024)

Ties of Trust: a bowtie model to uncover trustor-trustee relationships in LLMs. - Eva Paraschou; Maria Michali; Sofia Yfantidou; Stelios Karamanidis; Stefanos Rafail Kalogeros; Athena Vakali (FAccT, 2025)

AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI. - Pavlos Sermpezis; Stelios Karamanidis; Eva Paraschou; Ilias Dimitriadis; Sofia Yfantidou; Filitsa-Ioanna Kouskouveli; Thanasis Troboukis; Kelly Kiki; Antonis Galanopoulos; Athena Vakali (CoRR, 2025)

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI. - Eva Paraschou; Ioannis Arapakis; Sofia Yfantidou; Sebastian Macaluso; Athena Vakali (CoRR, 2025)

Uncovering the Hidden Biases in Personal Informatics. - Sofia Yfantidou; Pavlos Sermpezis; Athena Vakali; Ricardo Baeza-Yates (GetMobile Mob. Comput. Commun., 2025)

Negotiation strategies in ubiquitous human-computer interaction: a novel storyboards scale & field study. - Sofia Yfantidou; Georgia Yfantidou; Panagiota Balaska; Athena Vakali (Multim. Tools Appl., 2025)