| Cost-sensitive learning methods for imbalanced data N Thai-Nghe, Z Gantner, L Schmidt-Thieme The 2010 International joint conference on neural networks (IJCNN), 1-8, 2010 | 332 | 2010 |
| Recommender system for predicting student performance N Thai-Nghe, L Drumond, A Krohn-Grimberghe, L Schmidt-Thieme Procedia Computer Science 1 (2), 2811-2819, 2010 | 327 | 2010 |
| A comparative analysis of techniques for predicting academic performance NT Nghe, P Janecek, P Haddawy 2007 37th annual frontiers in education conference-global engineering …, 2007 | 319 | 2007 |
| Factorization Models for Forecasting Student Performance. N Thai-Nghe, T Horváth, L Schmidt-Thieme EDM, 11-20, 2011 | 126 | 2011 |
| Factorization techniques for predicting student performance N Thai-Nghe, L Drumond, T Horváth, A Krohn-Grimberghe, A Nanopoulos, ... Educational recommender systems and technologies: Practices and challenges …, 2012 | 121 | 2012 |
| Improving academic performance prediction by dealing with class imbalance N Thai-Nghe, A Busche, L Schmidt-Thieme 2009 Ninth international conference on intelligent systems design and …, 2009 | 107 | 2009 |
| Multi-relational factorization models for predicting student performance N Thai-Nghe, L Drumond, T Horváth, L Schmidt-Thieme KDD Workshop on Knowledge Discovery in Educational Data (KDDinED), 27-40, 2011 | 54 | 2011 |
| Matrix and Tensor Factorization for Predicting Student Performance. N Thai-Nghe, L Drumond, T Horváth, A Nanopoulos, L Schmidt-Thieme CSEDU (1), 69-78, 2011 | 51 | 2011 |
| Multi-relational factorization models for student modeling in intelligent tutoring systems N Thai-Nghe, L Schmidt-Thieme 2015 Seventh international conference on knowledge and systems engineering …, 2015 | 42 | 2015 |
| Methods for building course recommendation systems HL Thanh-Nhan, HH Nguyen, N Thai-Nghe 2016 Eighth international conference on knowledge and systems engineering …, 2016 | 38 | 2016 |
| Using factorization machines for student modeling. N Thai-Nghe, L Drumond, T Horváth, L Schmidt-Thieme UMAP Workshops, 2012 | 36 | 2012 |
| Deep learning approach for forecasting water quality in IoT systems N Thai-Nghe, N Thanh-Hai, N Chi Ngon International Journal of Advanced Computer Science and Applications 11 (8 …, 2020 | 32 | 2020 |
| Learning optimal threshold on resampling data to deal with class imbalance N Thai-Nghe, DT Nghi, L Schmidt-Thieme Proc. IEEE RIVF International Conference on Computing and Telecommunication …, 2010 | 30 | 2010 |
| A new evaluation measure for learning from imbalanced data N Thai-Nghe, Z Gantner, L Schmidt-Thieme The 2011 International Joint Conference on Neural Networks, 537-542, 2011 | 28 | 2011 |
| Personalized forecasting student performance N Thai-Nghe, T Horvath, L Schmidt-Thieme The 11th IEEE International Conference on Advanced Learning Technologies …, 2011 | 26 | 2011 |
| Deep learning with data transformation and factor analysis for student performance prediction TT Dien, SH Luu, N Thanh-Hai, N Thai-Nghe International Journal of Advanced Computer Science and Applications 11 (8), 2020 | 20 | 2020 |
| Context-aware factorization for personalized student’s task recommendation N Thai-Nghe, T Horvath, L Schmidt-Thieme Proceedings of the international workshop on personalization approaches in …, 2011 | 20 | 2011 |
| Predicting student performance in an intelligent tutoring system TN Nguyen Stiftung Universität Hildesheim, 2011 | 20 | 2011 |
| Article classification using natural language processing and machine learning TT Dien, BH Loc, N Thai-Nghe 2019 International Conference on Advanced Computing and Applications (ACOMP …, 2019 | 14 | 2019 |
| Deep learning for rice quality classification NH Son, N Thai-Nghe 2019 international conference on advanced computing and applications (ACOMP …, 2019 | 12 | 2019 |
Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyVerified email at ismll.uni-hildesheim.de
