| Respecting Data Privacy in Educational Data Mining: An Approach to the Transparent Handling of Student Data and Dealing with the Resulting Missing Value Problem A Askinadze, S Conrad 2018 IEEE 27th International Conference on Enabling Technologies …, 2018 | 14 | 2018 |
| Predicting Student Test Performance based on Time Series Data of eBook Reader Behavior Using the Cluster-Distance Space Transformation A Askinadze, M Liebeck, C Stefan 26th International Conference on Computers in Education (ICCE 2018), 430-439, 2018 | 9 | 2018 |
| Predicting Student Dropout in Higher Education Based on Previous Exam Results A Askinadze, S Conrad International Conference on Educational Data Mining 2019, 500-503, 2019 | 5 | 2019 |
| Using Venn, Sankey, and upset diagrams to visualize students’ study progress based on exam combinations A Askinadze, M Liebeck, S Conrad, H Heine 9th International Conference on Learning Analytics and Knowledge, 1-5, 2019 | 5 | 2019 |
| Development of an Educational Dashboard for the Integration of German State Universities’ Data A Askinadze, S Conrad Educational Datamining. S, 527-528, 2018 | 5 | 2018 |
| A web service architecture for tracking and analyzing data from distributed e-learning environments A Askinadze, S Conrad 2017 IEEE 26th International Conference on Enabling Technologies …, 2017 | 5 | 2017 |
| Application of the Dynamic Time Warping Distance for the Student Drop-out Prediction on Time Series Data. A Askinadze, S Conrad EDM, 2017 | 4 | 2017 |
| Pisco: A Computational Approach to Predict Personality Types from Java Source Code. M Liebeck, P Modaresi, A Askinadze, S Conrad FIRE (Working Notes), 43-47, 2016 | 4 | 2016 |
| The First Data Science Challenge at BTW 2017 P Hirmer, T Waizenegger, G Falazi, M Abdo, Y Volga, A Askinadze, ... Datenbank-Spektrum 17 (3), 207-222, 2017 | 3 | 2017 |
| Fake war crime image detection by reverse image search A Askinadze Datenbanksysteme für Business, Technologie und Web (BTW 2017)-Workshopband, 2017 | 3 | 2017 |
| From Collecting, Integrating, and Visualizing Student Data to Predicting Student Dropout and Performance A Askinadze | | |
Stefan ConradProfessor für Informatik, Universität DüsseldorfVerified email at acm.org
