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Galina Deeva
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2020 – today
- 2024
- [c10]Sara Willermark, Galina Deeva, Maria Óskarsdóttir, Anna Sigridur Islind:
Introduction to the Minitrack on Learning Analytics. HICSS 2024: 1415-1416 - 2023
- [c9]Anna Sigridur Islind, Sara Willermark, Maria Óskarsdóttir, Galina Deeva:
Introduction to the Minitrack on Learning Analytics. HICSS 2023: 1269-1270 - 2022
- [j4]Galina Deeva
, Johannes De Smedt, Cecilia Saint-Pierre
, Richard Weber, Jochen De Weerdt
:
Predicting student performance using sequence classification with time-based windows. Expert Syst. Appl. 209: 118182 (2022) - [j3]Galina Deeva
, Johannes De Smedt
, Jochen De Weerdt
:
Educational Sequence Mining for Dropout Prediction in MOOCs: Model Building, Evaluation, and Benchmarking. IEEE Trans. Learn. Technol. 15(6): 720-735 (2022) - [c8]Sara Willermark, Maria Óskarsdóttir, Anna Sigridur Islind, Galina Deeva:
Introduction to the Minitrack on Learning Analytics. HICSS 2022: 1-2 - [i1]Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, Jochen De Weerdt:
Predicting student performance using sequence classification with time-based windows. CoRR abs/2208.07749 (2022) - 2021
- [j2]Galina Deeva, Daria Bogdanova, Estefanía Serral
, Monique Snoeck, Jochen De Weerdt
:
A review of automated feedback systems for learners: Classification framework, challenges and opportunities. Comput. Educ. 162: 104094 (2021) - [c7]Galina Deeva, Sara Willermark, Anna Sigridur Islind, María Óskarsdóttir:
Introduction to the Minitrack on Learning Analytics. HICSS 2021: 1-2 - 2020
- [j1]Johannes De Smedt
, Galina Deeva
, Jochen De Weerdt
:
Mining Behavioral Sequence Constraints for Classification. IEEE Trans. Knowl. Data Eng. 32(6): 1130-1142 (2020) - [c6]Steven Van Goidsenhoven
, Daria Bogdanova
, Galina Deeva, Seppe vanden Broucke, Jochen De Weerdt
, Monique Snoeck:
Predicting student success in a blended learning environment. LAK 2020: 17-25
2010 – 2019
- 2019
- [c5]Galina Deeva, Johannes De Smedt
, Jochen De Weerdt
, María Óskarsdóttir:
Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo. COMPLEX NETWORKS (2) 2019: 931-943 - 2018
- [c4]Galina Deeva, Jochen De Weerdt
:
Understanding Automated Feedback in Learning Processes by Mining Local Patterns. Business Process Management Workshops 2018: 56-68 - [c3]Galina Deeva, Monique Snoeck, Jochen De Weerdt
:
Discovering the Impact of Students' Modeling Behavior on their Final Performance. PoEM 2018: 335-350 - 2017
- [c2]Galina Deeva, Johannes De Smedt
, Pieter De Koninck
, Jochen De Weerdt
:
Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining. Business Process Management Workshops 2017: 243-255 - [c1]Johannes De Smedt
, Galina Deeva, Jochen De Weerdt
:
Behavioral Constraint Template-Based Sequence Classification. ECML/PKDD (2) 2017: 20-36
Coauthor Index
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