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Journal Articles
- 2017
[j1]Pascal Hirmer
, Tim Waizenegger, Ghareeb Falazi, Majd Abdo, Yuliya Volga, Alexander Askinadze, Matthias Liebeck, Stefan Conrad, Tobias Hildebrandt, Conrad Indiono, Stefanie Rinderle-Ma, Martin Grimmer, Matthias Kricke, Eric Peukert:
The First Data Science Challenge at BTW 2017. Datenbank-Spektrum 17(3): 207-222 (2017)
Conference and Workshop Papers
- 2019
- [c8]Alexander Askinadze, Stefan Conrad:
Predicting Student Dropout in Higher Education Based on Previous Exam Results. EDM 2019 - 2018
- [c7]Alexander Askinadze, Stefan Conrad:
Respecting Data Privacy in Educational Data Mining: An Approach to the Transparent Handling of Student Data and Dealing with the Resulting Missing Value Problem. WETICE 2018: 160-164 - 2017
- [c6]Alexander Askinadze:
Fake war crime image detection by reverse image search. BTW (Workshops) 2017: 345-354 - [c5]Alexander Askinadze, Stefan Conrad:
Application of the Dynamic Time Warping Distance for the Student Drop-out Prediction on Time Series Data. EDM 2017 - [c4]Alexander Askinadze, Stefan Conrad:
A Web Service Architecture for Tracking and Analyzing Data from Distributed E-Learning Environments. WETICE 2017: 208-213 - 2016
- [c3]Matthias Liebeck, Pashutan Modaresi, Alexander Askinadze, Stefan Conrad:
Pisco: A Computational Approach to Predict Personality Types from Java Source Code. FIRE (Working Notes) 2016: 43-47 - [c2]Alexander Askinadze:
Anwendung der Regressions-SVM zur Vorhersage studentischer Leistungen. GvD 2016: 15-20 - 2015
- [c1]Alexander Askinadze:
Vergleich von Distanzen und Kernel für Klassifikatoren zur Optimierung der Annotation von Bildern. BTW Workshops 2015: 193-202
Coauthor Index
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