Benchmarking Conventional Outlier Detection Methods. - Elena Tiukhova; Manon Reusens; Bart Baesens; Monique Snoeck (RCIS, 2022)

Influencer Detection with Dynamic Graph Neural Networks. - Elena Tiukhova; Emiliano Penaloza; María Óskarsdóttir; Hernán García; Alejandro Correa Bahnsen; Bart Baesens; Monique Snoeck; Cristián Bravo (CoRR, 2022)

Learning analytics tells: Know your basics and go to class. - Elena Tiukhova; Charlotte Verbruggen; Bart Baesens; Monique Snoeck (ER (Companion), 2023)

Boosting Credit Risk Data Quality Using Machine Learning and eXplainable AI Techniques. - Elena Tiukhova; Adriano Salcuni; Can Oguz; Marcella Niglio; Giuseppe Storti; Fabio Forte; Bart Baesens; Monique Snoeck (PKDD/ECML Workshops (5), 2023)

IML4DQ: Interactive Machine Learning for Data Quality with Applications in Credit Risk. - Elena Tiukhova; Adriano Salcuni; Can Oguz; Fabio Forte; Bart Baesens; Monique Snoeck (CoopIS, 2024)

Discovering Unusual Study Patterns Using Anomaly Detection and XAI. - Elena Tiukhova; Pavani Vemuri; Maria Óskarsdóttir; Stephan Poelmans; Bart Baesens; Monique Snoeck (HICSS, 2024)

INFLECT-DGNN: Influencer Prediction With Dynamic Graph Neural Networks. - Elena Tiukhova; Emiliano Penaloza; María Óskarsdóttir; Bart Baesens; Monique Snoeck; Cristián Bravo (IEEE Access, 2024)

Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI. - Elena Tiukhova; Pavani Vemuri; Nidia Guadalupe López Flores; Anna Sigridur Islind; María Óskarsdóttir; Stephan Poelmans; Bart Baesens; Monique Snoeck (Decis. Support Syst., 2024)

Learning Analytics Dashboard with Peer Comparison for Student Feedback in Conceptual Modeling Education. - Elena Tiukhova; Charlotte Verbruggen; Tinne De Laet; Bart Baesens; Monique Snoeck (BPMDS/EMMSAD@CAiSE, 2025)