| 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 | 460 | 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 | 404 | 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 | 358 | 2007 |
| 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 | 154 | 2012 |
| Factorization Models for Forecasting Student Performance. N Thai-Nghe, T Horváth, L Schmidt-Thieme EDM, 11-20, 2011 | 146 | 2011 |
| 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 | 117 | 2009 |
| 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 | 75 | 2020 |
| 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 | 65 | 2015 |
| Matrix and tensor factorization for predicting student performance N Thai-Nghe, L Drumond, T Horváth, A Nanopoulos, L Schmidt-Thieme International Conference on Computer Supported Education 2, 69-78, 2011 | 58 | 2011 |
| 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 | 57 | 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 | 55 | 2020 |
| Methods for building course recommendation systems HL Thanh-Nhan, HH Nguyen, N Thai-Nghe 2016 Eighth international conference on knowledge and systems engineering …, 2016 | 52 | 2016 |
| Deep learning for rice quality classification NH Son, N Thai-Nghe 2019 international conference on advanced computing and applications (ACOMP …, 2019 | 42 | 2019 |
| Using factorization machines for student modeling. N Thai-Nghe, L Drumond, T Horváth, L Schmidt-Thieme UMAP workshops, 2012 | 41 | 2012 |
| Explainable Deep Learning Models With Gradient-Weighted Class Activation Mapping for Smart Agriculture. LD Quach, KQ Nguyen, AQ Nguyen, N Thai-Nghe, TG Nguyen IEEE Access 11 (August), 83752-83762, 2023 | 36 | 2023 |
| 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 | 33 | 2010 |
| 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 | 32 | 2019 |
| 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 | 31 | 2011 |
| Personalized forecasting student performance N Thai-Nghe, T Horvath, L Schmidt-Thieme The 11th IEEE International Conference on Advanced Learning Technologies …, 2011 | 29 | 2011 |
| Tomato health monitoring system: Tomato classification, detection, and counting system based on YOLOv8 model with explainable MobileNet models using grad-CAM++ LD Quach, KN Quoc, AN Quynh, HT Ngoc, N Thai-Nghe IEEE Access 12, 9719-9737, 2024 | 26 | 2024 |
Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyVerified email at ismll.uni-hildesheim.de
