Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining. - Galina Deeva; Johannes De Smedt; Pieter De Koninck; Jochen De Weerdt (Business Process Management Workshops, 2017)

Behavioral Constraint Template-Based Sequence Classification. - Johannes De Smedt; Galina Deeva; Jochen De Weerdt (ECML/PKDD (2), 2017)

Understanding Automated Feedback in Learning Processes by Mining Local Patterns. - Galina Deeva; Jochen De Weerdt (Business Process Management Workshops, 2018)

Discovering the Impact of Students' Modeling Behavior on their Final Performance. - Galina Deeva; Monique Snoeck; Jochen De Weerdt (PoEM, 2018)

Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo. - Galina Deeva; Johannes De Smedt; Jochen De Weerdt; María Óskarsdóttir (COMPLEX NETWORKS (2), 2019)

Predicting student success in a blended learning environment. - Steven Van Goidsenhoven; Daria Bogdanova; Galina Deeva; Seppe vanden Broucke; Jochen De Weerdt; Monique Snoeck (LAK, 2020)

Mining Behavioral Sequence Constraints for Classification. - Johannes De Smedt; Galina Deeva; Jochen De Weerdt (IEEE Trans. Knowl. Data Eng., 2020)

Introduction to the Minitrack on Learning Analytics. - Galina Deeva; Sara Willermark; Anna Sigridur Islind; María Óskarsdóttir (HICSS, 2021)

A review of automated feedback systems for learners: Classification framework, challenges and opportunities. - Galina Deeva; Daria Bogdanova; Estefanía Serral; Monique Snoeck; Jochen De Weerdt (Comput. Educ., 2021)

Predicting student performance using sequence classification with time-based windows. - Galina Deeva; Johannes De Smedt; Cecilia Saint-Pierre; Richard Weber; Jochen De Weerdt (Expert Syst. Appl., 2022)

Educational Sequence Mining for Dropout Prediction in MOOCs: Model Building, Evaluation, and Benchmarking. - Galina Deeva; Johannes De Smedt; Jochen De Weerdt (IEEE Trans. Learn. Technol., 2022)