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Dekobild im Seitenkopf ISMLL
 
Personen: Thai-Nghe Nguyen, M.Eng.
Sprechstunde:
C206 Spl, n.V.
Telefon, Fax, E-Mail:
Telefon:05121 / 883-765
Telefax:05121 / 883-859
E-Mail:
Postanschrift:
Wirtschaftsinformatik und Maschinelles Lernen
Universitätsplatz 1
Universität Hildesheim
31141 Hildesheim
Besuchsadresse:
Wirtschaftsinformatik und Maschinelles Lernen
Samelsonplatz 1
Universität Hildesheim
31141 Hildesheim

Software: A very simple implementation of Matrix Factorization for Predicting Student Performance (Please see the article [Thai-Nghe et al, ERSAT 2011] for details)

Publications:

  • Nguyen Thai-Nghe, Lucas Drumond, Tomáš Horváth, Lars Schmidt-Thieme (2012):
    Using factorization machines for student modeling, in Workshop and Poster Proceedings of the 20th Conference on User Modeling, Adaptation, and Personalization, Montreal, Canada. PDF
  • Nguyen Thai-Nghe, Lucas Drumond, Tomáš Horváth, Lars Schmidt-Thieme (2011):
    Multi-Relational Factorization Models for Predicting Student Performance, in KDD 2011 Workshop on Knowledge Discovery in Educational Data (KDDinED 2011). Held as part of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. PDF
  • Nguyen Thai-Nghe, Tomáš Horváth, Lars Schmidt-Thieme (2011):
    Factorization Models for Forecasting Student Performance, in Pechenizkiy, M., Calders, T., Conati, C., Ventura, S., Romero , C., and Stamper, J. (Eds.) Proceedings of the 4th International Conference on Educational Data Mining (EDM 2011). PDF
  • Nguyen Thai-Nghe, Lucas Drumond, Tomáš Horváth, Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lars Schmidt-Thieme (2011):
    Factorization Techniques for Predicting Student Performance, to appear in Educational Recommender Systems and Technologies: Practices and Challenges (ERSAT 2011): Santos, O. C. and Boticario, J. G. (Eds.), IGI Global. PDF
  • Nguyen Thai-Nghe, Tomáš Horváth, Lars Schmidt-Thieme (2011):
    Context-Aware Factorization for Personalized Student's Task Recommendation, in Proceedings of International Workshop on Personalization Approaches in Learning Environments (PALE 2011) at UMAP 2011, CEUR-WS (ISSN 1613-0073).
  • Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme (2011):
    A New Evaluation Measure for Learning from Imbalanced Data, in Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2011), IEEE Xplore. Student Travel Grant by INNS. PDF
  • Nguyen Thai-Nghe, Tomáš Horváth, Lars Schmidt-Thieme (2011):
    Personalized Forecasting Student Performance, in Proceedings of IEEE International Conference on Advanced Learning Technologies (ICALT 2011), IEEE Computer Society. PDF
  • Nguyen Thai-Nghe, Lucas Drumond, Tomáš Horváth, Alexandros Nanopoulos, Lars Schmidt-Thieme (2011):
    Matrix and Tensor Factorization for Predicting Student Performance, in Proceedings of the 3rd International Conference on Computer Supported Education (CSEDU 2011). Best Student Paper Award. PDF
  • Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimberghe, Lars Schmidt-Thieme (2010):
    Recommender System for Predicting Student Performance, in Proceedings of ACM RecSys 2010 Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), Elsevier Computer Science Procedia, pp. 2811-2819. PDF
  • Nguyen Thai-Nghe, Thanh-Nghi Do, Lars Schmidt-Thieme (2010):
    Learning Optimal Threshold on Resampling Data to Deal with Class Imbalance, in Proceedings of the 8th IEEE International Conference on Computing and Communication Technologies: Research, Innovation, and Vision for the Future (RIVF 2010), IEEE Xplore. PDF
  • Nguyen Thai-Nghe, Thanh-Nghi Do, Lars Schmidt-Thieme (2010):
    Learning Optimal Threshold for Bayesian Posterior Probabilities to Mitigate the Class Imbalance Problem, in Proceedings of the 3rd International Conference on Theories and Applications of Computer Science (ICTACS 2010).
  • Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme (2010):
    Cost-Sensitive Learning Methods for Imbalanced Data, in Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2010), IEEE Xplore. Student Travel Grant by INNS. PDF
  • Nguyen Thai-Nghe, Andre Busche, Lars Schmidt-Thieme (2009):
    Improving Academic Performance Prediction by Dealing with Class Imbalance, in Proceedings of the 9th IEEE International Conference on Intelligent Systems Design and Applications (ISDA 2009), IEEE Computer Society, pp. 878--883. PDF
  • Nguyen Thai-Nghe, Paul Janecek, Peter Haddawy (2007):
    A comparative analysis of techniques for predicting academic performance, in Proceedings of 37th ASEE/IEEE Frontiers in Education (FIE 2007), IEEE Xplore, pp. 7-12.
  • Chi-Ngon Nguyen, Thanh-Hung Tran, Thanh-Tuyen T. Truong, Nguyen Thai-Nghe (2005):
    A method of control system by Vietnamese speech using Neural Networks, in Proceedings of 3rd IEEE International Conference on Research, Innovation and Vision for the Future in ICT (RIVF 2005), pp. 315-317.
  • Nguyen Thai-Nghe, Paul Janecek, Peter Haddawy (2007):
    An analysis of techniques for predicting student GPA, in Proceedings of 10th National Conference on ICT, September 14-15 (in Vietnamese), pp. 19-31.