| 2024 | ACIIDS | Brain Tumor Segmentation with FPN-Based EfficientNet and XAI. | Nguyen Thai-Nghe, Vo Van Kiet, Huu-Hoa Nguyen |
| 2022 | ACIIDS | Layer-Wise Optimization of Contextual Neural Networks with Dynamic Field of Aggregation. | Marcin Jodlowiec, Adriana Albu, Krzysztof Wolk, Nguyen Thai-Nghe, Adrian Karasinski |
| 2022 | SoMeT | An Attendance Checking System on Mobile Devices Using Transfer Learning. | Huynh Thanh-Du, Maciej Huk, Nguyen Hung Dung, Nguyen Thai-Nghe |
| 2021 | CISIS | Four Grade Levels-Based Models with Random Forest for Student Performance Prediction at a Multidisciplinary University. | Tran Thanh Dien, Le Duy-Anh, Nguyen Hong-Phat, Nguyen Van-Tuan, Trinh Thanh-Chanh, Le Minh-Bang, Hai Thanh Nguyen, Nguyen Thai-Nghe |
| 2021 | ICCCI | Deep Matrix Factorization for Learning Resources Recommendation. | Tran Thanh Dien, Hai Thanh Nguyen, Nguyen Thai-Nghe |
| 2017 | ACIIDS | An Approach for Multi-Relational Data Context in Recommender Systems. | Nguyen Thai-Nghe, Mai Nhut-Tu, Huu-Hoa Nguyen |
| 2016 | ACIIDS | A Context-Aware Implicit Feedback Approach for Online Shopping Recommender Systems. | Luu Nguyen Anh-Thu, Huu-Hoa Nguyen, Nguyen Thai-Nghe |
| 2016 | ACIIDS | A Mobility Prediction Model for Location-Based Social Networks. | Nguyen Thanh Hai, Huu-Hoa Nguyen, Nguyen Thai-Nghe |
| 2011 | CSEDU | Matrix and Tensor Factorization for Predicting Student Performance. | Nguyen Thai-Nghe, Lucas Drumond, Toms Horvth, Alexandros Nanopoulos, Lars Schmidt-Thieme |
| 2011 | EDM | Factorization Models for Forecasting Student Performance. | Nguyen Thai-Nghe, Toms Horvth, Lars Schmidt-Thieme |
| 2011 | ICALT | Personalized Forecasting Student Performance. | Nguyen Thai-Nghe, Toms Horvth, Lars Schmidt-Thieme |
| 2011 | IJCNN | A new evaluation measure for learning from imbalanced data. | Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme |
| 2010 | IJCNN | Cost-sensitive learning methods for imbalanced data. | Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme |
| 2009 | ISDA | Improving Academic Performance Prediction by Dealing with Class Imbalance. | Nguyen Thai-Nghe, Andr Busche, Lars Schmidt-Thieme |