Towards effective research recommender systems for repositories. - Petr Knoth; Lucas Anastasiou; Aristotelis Charalampous; Matteo Cancellieri; Samuel Pearce; Nancy Pontika; Vaclav Bayer (CoRR, 2017)

Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally? - Vaclav Bayer; Martin Hlosta; Miriam Fernández (AIED (2), 2021)

Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged Students in STEM. - Martin Hlosta; Christothea Herodotou; Vaclav Bayer; Miriam Fernández (AIED (2), 2021)

Estimating Ground Truth in a Low-labelled Data Regime: A Study of Racism Detection in Spanish. - Paula Reyero Lobo; Martino Mensio; Ángel Pavón Pérez; Vaclav Bayer; Joseph Kwarteng; Miriam Fernández; Enrico Daga; Harith Alani (ICWSM Workshops, 2022)

CERSEI: Cognitive Effort Based Recommender System for Enhancing Inclusiveness. - Geoffray Bonnin; Vaclav Bayer; Miriam Fernández; Christothea Herodotou; Martin Hlosta; Paul Mulholland (EC-TEL, 2023)

Co-creating an equality diversity and inclusion learning analytics dashboard for addressing awarding gaps in higher education. - Vaclav Bayer; Paul Mulholland; Martin Hlosta; Tracie Farrell; Christothea Herodotou; Miriam Fernández (Br. J. Educ. Technol., 2024)

Prescriptive analytics motivating distance learning students to take remedial action: A case study of a student-facing dashboard. - Christothea Herodotou; Jessica Carr; Sagun Shrestha; Catherine Comfort; Vaclav Bayer; Claire Maguire; John Lee; Paul Mulholland; Miriam Fernández (LAK, 2025)