Discovering Gender-Specific Knowledge from Finnish Basic Education using PISA Scale Indices. - Mirka Saarela; Tommi Kärkkäinen (EDM, 2014)

Do Country Stereotypes Exist in Educational Data? A Clustering Approach for Large, Sparse, and Weighted Data. - Mirka Saarela; Tommi Kärkkäinen (EDM, 2015)

Weighted Clustering of Sparse Educational Data. - Mirka Saarela; Tommi Kärkkäinen (ESANN, 2015)

Robust Principal Component Analysis of Data with Missing Values. - Tommi Kärkkäinen; Mirka Saarela (MLDM, 2015)

Expert-based versus citation-based ranking of scholarly and scientific publication channels. - Mirka Saarela; Tommi Kärkkäinen; Tommi Lahtonen; Tuomo Rossi (J. Informetrics, 2016)

Supporting Institutional Awareness and Academic Advising using Clustered Study Profiles. - Mariia Gavriushenko; Mirka Saarela; Tommi Kärkkäinen (CSEDU (1), 2017)

Feature Ranking of Large, Robust, and Weighted Clustering Result. - Mirka Saarela; Joonas Hämäläinen; Tommi Kärkkäinen (PAKDD (1), 2017)

Predicting hospital associated disability from imbalanced data using supervised learning. - Mirka Saarela; Olli-Pekka Ryynänen; Sami Äyrämö (Artif. Intell. Medicine, 2019)

Mislabel Detection of Finnish Publication Ranks. - Anton Akusok; Mirka Saarela; Tommi Kärkkäinen; Kaj-Mikael Björk; Amaury Lendasse (CoRR, 2019)

Automatic Profiling of Open-Ended Survey Data on Medical Workplace Teaching. - Mirka Saarela; Jukka Lahtonen; Minna Ruoranen; Annika Mäkeläinen; Teuvo Antikainen; Tommi Kärkkäinen (Int. J. Emerg. Technol. Learn., 2019)

Course Satisfaction in Engineering Education Through the Lens of Student Agency Analytics. - Ville Heilala; Mirka Saarela; Päivikki Jääskelä; Tommi Kärkkäinen (FIE, 2020)

Can we automate expert-based journal rankings? Analysis of the Finnish publication indicator. - Mirka Saarela; Tommi Kärkkäinen (J. Informetrics, 2020)

Explainable Student Agency Analytics. - Mirka Saarela; Ville Heilala; Päivikki Jääskelä; Anne Rantakaulio; Tommi Kärkkäinen (IEEE Access, 2021)

Clustering to define interview participants for analyzing student feedback: a case of Legends of Learning. - Ayaz Karimov; Mirka Saarela; Tommi Kärkkäinen (EDM, 2023)

The impact of online educational platform on students' motivation and grades: the case of Khan Academy in the under-resourced communities. - Ayaz Karimov; Mirka Saarela; Tommi Kärkkäinen (EDM, 2023)

The Finnish Version of the Affinity for Technology Interaction (ATI) Scale: Psychometric Properties and an Examination of Gender Differences. - Ville Heilala; Riitta Kelly; Mirka Saarela; Päivikki Jääskelä; Tommi Kärkkäinen (Int. J. Hum. Comput. Interact., 2023)

Measuring self-regulated learning in a junior high school mathematics classroom: Combining aptitude and event measures in digital learning materials. - Denis Zhidkikh; Mirka Saarela; Tommi Kärkkäinen (J. Comput. Assist. Learn., 2023)

Explainability in Educational Data Mining and Learning Analytics: An Umbrella Review. - Sachini Gunasekara; Mirka Saarela (EDM, 2024)

Ethical Educational Data Processing Differences of Students with Special Needs in Post-Soviet Countries. - Ayaz Karimov; Mirka Saarela; Tommi Kärkkäinen (EDM, 2024)

Principals' use of data analytics in Finnish schools. - Ayaz Karimov; Mirka Saarela; Tommi Kärkkäinen; Sabina Aghayeva (EDM, 2024)

Online Learning Platform and Gamification Features Preferences: Gender-Based Analysis Among Estonian Students. - Ayaz Karimov; Mirka Saarela (GALA, 2024)

On the relation of causality- versus correlation-based feature selection on model fairness. - Mirka Saarela (SAC, 2024)

A design for neural network model of continuous reading. - Jarkko Hautala; Mirka Saarela; Otto Loberg; Tommi Kärkkäinen (Cogn. Syst. Res., 2024)

Serious games in Science and Mathematics Education: a scoping umbrella review. - Ayaz Karimov; Mirka Saarela; Tommi Kärkkäinen (Int. J. Serious Games, 2024)

How Do 13-16-Year-Olds Understand AI? A Topic Modeling Study of Swedish Students' Perceptions. - Mirka Saarela; Ahmed Taiye Mohammed; Johanna Velander; Rafael Zerega (AICCONF, 2025)

The EU AI Act: Implications for Ethical AI in Education. - Mirka Saarela; Sachini Gunasekara; Ayaz Karimov (DESRIST (2), 2025)

Mining for Knowledge, Not Trouble: GDPR's Impact on Educational Data Mining. - Aytaj Ismayilzada; Mirka Saarela; Ayaz Karimov (EDM, 2025)

Scaling Virtual Classrooms: Overcoming Barriers to Learning Analytics in VR. - Aytaj Ismayilzada; Ayaz Karimov; Mirka Saarela (LAK Workshops, 2025)

Quantitative Assessment of Explainability in Machine Learning Models : A Study on the OULA Dataset. - Sachini Gunasekara; Mirka Saarela (SAC, 2025)

A two-phase systematic literature review on the use of serious games for sustainable environmental education. - Tarlan Ahmadov; Ayaz Karimov; Susanne Durst; Mirka Saarela; Wolfgang Gerstlberger; Mike Franz Wahl; Tommi Kärkkäinen (Interact. Learn. Environ., 2025)