Improving Academic Performance Prediction by Dealing with Class Imbalance. - Nguyen Thai-Nghe; André Busche; Lars Schmidt-Thieme (ISDA, 2009)

Cost-sensitive learning methods for imbalanced data. - Nguyen Thai-Nghe; Zeno Gantner; Lars Schmidt-Thieme (IJCNN, 2010)

Recommender system for predicting student performance. - Nguyen Thai-Nghe; Lucas Drumond; Artus Krohn-Grimberghe; Lars Schmidt-Thieme (RecSysTEL@RecSys, 2010)

Matrix and Tensor Factorization for Predicting Student Performance. - Nguyen Thai-Nghe; Lucas Drumond; Tomás Horváth; Alexandros Nanopoulos; Lars Schmidt-Thieme (CSEDU (1), 2011)

Factorization Models for Forecasting Student Performance. - Nguyen Thai-Nghe; Tomás Horváth; Lars Schmidt-Thieme (EDM, 2011)

Personalized Forecasting Student Performance. - Nguyen Thai-Nghe; Tomás Horváth; Lars Schmidt-Thieme (ICALT, 2011)

A new evaluation measure for learning from imbalanced data. - Nguyen Thai-Nghe; Zeno Gantner; Lars Schmidt-Thieme (IJCNN, 2011)

Factorization techniques for student performance classification and ranking. - Lucas Drumond; Nguyen Thai-Nghe; Tomás Horváth; Lars Schmidt-Thieme (UMAP Workshops, 2012)

Using factorization machines for student modeling. - Nguyen Thai-Nghe; Lucas Drumond; Tomás Horváth; Lars Schmidt-Thieme (UMAP Workshops, 2012)

Predicting Student Performance in an Intelligent Tutoring System. - Nguyen Thai-Nghe (2012)

An Evaluation Measure for Learning from Imbalanced Data Based on Asymmetric Beta Distribution. - Nguyen Thai-Nghe; Zeno Gantner; Lars Schmidt-Thieme (Classification and Data Mining, 2013)

An approach for building an intelligent parking support system. - Nguyen Thai-Nghe; Nguyen Chi-Ngon (SoICT, 2014)

An Approach for Building a Semi-automatic Online Consultancy System. - Nguyen Thai-Nghe; Quoc Dinh Truong (ACOMP, 2015)

An Approach for Developing Intelligent Systems in Smart Home Environment. - Tran Nguyen Minh-Thai; Nguyen Thai-Nghe (FDSE, 2015)

Methods for Abnormal Usage Detection in Developing Intelligent Systems for Smart Homes. - Tran Nguyen Minh-Thai; Nguyen Thai-Nghe (KSE, 2015)

Multi-relational Factorization Models for Student Modeling in Intelligent Tutoring Systems. - Nguyen Thai-Nghe; Lars Schmidt-Thieme (KSE, 2015)

A Context-Aware Implicit Feedback Approach for Online Shopping Recommender Systems. - Luu Nguyen Anh-Thu; Huu-Hoa Nguyen; Nguyen Thai-Nghe (ACIIDS (2), 2016)

A Mobility Prediction Model for Location-Based Social Networks. - Nguyen Thanh Hai 001; Huu-Hoa Nguyen; Nguyen Thai-Nghe (ACIIDS (1), 2016)

A Semantic Approach in Recommender Systems. - Huynh Thanh-Tai; Huu-Hoa Nguyen; Nguyen Thai-Nghe (FDSE, 2016)

Methods for building course recommendation systems. - Huynh-Ly Thanh-Nhan; Huu-Hoa Nguyen; Nguyen Thai-Nghe (KSE, 2016)

An Approach for Multi-Relational Data Context in Recommender Systems. - Nguyen Thai-Nghe; Mai Nhut-Tu; Huu-Hoa Nguyen (ACIIDS (1), 2017)

A Semantic-Based Recommendation Approach for Cold-Start Problem. - Huynh Thanh-Tai; Nguyen Thai-Nghe (FDSE, 2017)

Toward integrating social networks into intelligent tutoring systems. - Huynh-Ly Thanh-Nhan; Le Huy-Thap; Nguyen Thai-Nghe (KSE, 2017)

Article Classification using Natural Language Processing and Machine Learning. - Tran Thanh Dien; Bui Huu Loc; Nguyen Thai-Nghe (ACOMP, 2019)

Deep Learning for Rice Quality Classification. - Nguyen Hong Son; Nguyen Thai-Nghe (ACOMP, 2019)

An Approach for Plagiarism Detection in Learning Resources. - Tran Thanh Dien; Huynh Ngoc Han; Nguyen Thai-Nghe (FDSE, 2019)

Disease Prediction Using Metagenomic Data Visualizations Based on Manifold Learning and Convolutional Neural Network. - Thanh Hai Nguyen 001; Nguyen Thai-Nghe (FDSE, 2019)

A Forecasting Model for Monitoring Water Quality in Aquaculture and Fisheries IoT Systems. - Nguyen Thai-Nghe; Tran Thanh Hung; Nguyen Chi-Ngon (ACOMP, 2020)

Course Recommendation with Deep Learning Approach. - Tran Thanh Dien; Luu Hoai-Sang; Nguyen Thanh Hai 001; Nguyen Thai-Nghe (FDSE (CCIS Volume), 2020)

Forecasting Sensor Data Using Multivariate Time Series Deep Learning. - Nguyen Thai-Nghe; Nguyen Thanh Hai 001 (FDSE (CCIS Volume), 2020)

Feature Selection Using Local Interpretable Model-Agnostic Explanations on Metagenomic Data. - Nguyen Thanh Hai 001; Toan Bao Tran; An Cong Tran; Nguyen Thai-Nghe (FDSE (CCIS Volume), 2020)

Cyber Physical System: Achievements and challenges. - Linh My Thi Ong; Nguyen Thai-Nghe; Huong Hoang Luong; Nghi C. Tran; Hiep Xuan Huynh 001 (ICMLSC, 2020)

An approach for semantic-based searching in learning resources. - Tran Thanh Dien; Le Van Trung; Nguyen Thai-Nghe (KSE, 2020)

Diagnosis Approaches for Colorectal Cancer Using Manifold Learning and Deep Learning. - Thanh Hai Nguyen 001; Nguyen Thai-Nghe (SN Comput. Sci., 2020)

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 003; Nguyen Thai-Nghe (CISIS, 2021)

Personalized Student Performance Prediction Using Multivariate Long Short-Term Memory. - Tran Thanh Dien; Pham Huu Phuoc; Nguyen Thanh Hai 001; Nguyen Thai-Nghe (FDSE (CCIS Volume), 2021)

Hospital Revenue Forecast Using Multivariate and Univariate Long Short-Term Memories. - Huong Thu Thi Luong; Huong Hoang Luong; Hai Thanh Nguyen 003; Nguyen Thai-Nghe (FDSE (CCIS Volume), 2021)

Integrating Deep Learning Architecture into Matrix Factorization for Student Performance Prediction. - Huynh-Ly Thanh-Nhan; Le Huy-Thap; Nguyen Thai-Nghe (FDSE, 2021)

Deep Matrix Factorization for Learning Resources Recommendation. - Tran Thanh Dien; Hai Thanh Nguyen 003; Nguyen Thai-Nghe (ICCCI, 2021)

Layer-Wise Optimization of Contextual Neural Networks with Dynamic Field of Aggregation. - Marcin Jodlowiec; Adriana Albu; Krzysztof Wolk; Nguyen Thai-Nghe; Adrian Karasinski (ACIIDS (2), 2022)

An Approach for Similarity Vietnamese Documents Detection from English Documents. - Hai Thanh Nguyen 003; Anh Duy Le; Nguyen Thai-Nghe; Tran Thanh Dien (FDSE (CCIS Volume), 2022)

Recommendations in E-Commerce Systems Based on Deep Matrix Factorization. - Nguyen Thai-Nghe; Hai Thanh Nguyen 003; Tran Thanh Dien (FDSE (CCIS Volume), 2022)

A Session-Based Recommender System for Learning Resources. - Nguyen Thai-Nghe; Pham Hong Sang (FDSE (CCIS Volume), 2022)

Cardiovascular Disease Detection on X-Ray Images with Transfer Learning. - Nguyen Van-Binh; Nguyen Thai-Nghe (IEA/AIE, 2022)

An Attendance Checking System on Mobile Devices Using Transfer Learning. - Huynh Thanh-Du; Maciej Huk; Nguyen Hung Dung; Nguyen Thai-Nghe (SoMeT, 2022)

An approach for learning resource recommendation using deep matrix factorization. - Tran Thanh Dien; Nguyen Thanh Hai 001; Nguyen Thai-Nghe (J. Inf. Telecommun., 2022)

Session-Based Recommendation System Approach for Predicting Learning Performance. - Nguyen Xuan Ha Giang; Lam Thanh Toan; Nguyen Thai-Nghe (FDSE, 2023)

Deep Learning Approach for Tomato Leaf Disease Detection. - Nguyen Thai-Nghe; Tran Khanh Dong; Hoang Xuan Tri; Nguyen Chi-Ngon (FDSE, 2023)

Dealing with New User Problem Using Content-Based Deep Matrix Factorization. - Nguyen Thai-Nghe; Nguyen Thi Kim Xuyen; An Cong Tran; Tran Thanh Dien (IEA/AIE (2), 2023)

Course Recommendation Based on Graph Convolutional Neural Network. - An Cong Tran; Duc-Thien Tran; Nguyen Thai-Nghe; Tran Thanh Dien; Hai Thanh Nguyen 003 (IEA/AIE (1), 2023)

Explainable Deep Learning Models With Gradient-Weighted Class Activation Mapping for Smart Agriculture. - Luyl-Da Quach; Khang Quoc Nguyen; Anh Quynh Nguyen; Nguyen Thai-Nghe; Tri Gia Nguyen (IEEE Access, 2023)

Deep Biased Matrix Factorization for Student Performance Prediction. - Huynh-Ly Thanh-Nhan; Le Huy-Thap; Nguyen Thai-Nghe (EAI Endorsed Trans. Context aware Syst. Appl., 2023)

Brain Tumor Segmentation with FPN-Based EfficientNet and XAI. - Nguyen Thai-Nghe; Vo Van Kiet; Huu-Hoa Nguyen (ACIIDS (2), 2024)

BCCNetAttention: Enhancing Breast Cancer Report Through Image Captioning with Convolution Neural Network and Transformers Architecture. - Huong Hoang Luong; Nguyen Thai-Nghe; Thanh-Hai Nguyen 001 (CSoNet, 2024)

Sequential Recommendation Using Graph Neuron Networks. - Mai Thi Cam Nhung; Nguyen Thuy Anh; Nguyen Thai-Nghe (FDSE (1), 2024)

An Approach for Movie Recommendation Using Deep Matrix Factorization. - Nguyen Thai-Nghe; Phuc Pham Minh; Mai Thi Cam Nhung (FDSE (2), 2024)

Tomato Health Monitoring System: Tomato Classification, Detection, and Counting System Based on YOLOv8 Model With Explainable MobileNet Models Using Grad-CAM++. - Luyl-Da Quach; Khang Quoc Nguyen; Anh Quynh Nguyen; Hoang Ngoc Tran; Nguyen Thai-Nghe (IEEE Access, 2024)

An Ensemble Model for Combining Deep Matrix Factorization and Image-Based Recommendation Systems. - Le Huynh Quoc Bao; Huynh Huu Bao Khoa; Nguyen Thai-Nghe (SN Comput. Sci., 2024)

Improving University Quality from Student Feedback with Sentiment Analysis. - Nguyen Thai-Nghe; Phan Thi Bich Van; Mai Thi Cam Nhung; Ngo Ba Hung (IEA/AIE (2), 2025)

Improving breast cancer prediction via progressive ensemble and image enhancement. - Huong Hoang Luong; Dat Vo Minh; Phuc Phan Hong; Anh Dinh The; Thinh Nguyen Le Quang; Quoc Thai Tran; Nguyen Thai-Nghe; Hai Thanh Nguyen 003 (Multim. Tools Appl., 2025)

Inverted Index for Similar Document Detection: A Case Study at Can Tho University Journal of Science. - Hai Thanh Nguyen 003; Ky Hoa Duong; Linh Thuy Thi Pham; Phuong Ha Dang Bui; Nguyen Thai-Nghe; Tran Thanh Dien (SN Comput. Sci., 2025)

Detection and classification of breast cancer in mammographic images with fine-tuned convolutional neural networks. - Huong Hoang Luong; Hai Thanh Nguyen; Nguyen Thai-Nghe (J. Inf. Telecommun., 2025)

EfficientPhoCaption: An Enhanced PhoBERT-Based Image Captioning Framework for Breast Cancer Diagnosis. - Huong Hoang Luong; Hai Thanh Nguyen; Nguyen Thai-Nghe (SN Comput. Sci., 2025)

Explainable Dual-Branch Hybrid Model for Maize Leaf Disease Classification. - Luyl-Da Quach; Nguyen Thai-Nghe; Chi-Ngon Nguyen (SN Comput. Sci., 2025)

Principal component analysis and fine-tuned vision transformation integrating model explainability for breast cancer prediction. - Huong Hoang Luong; Phuc Phan Hong; Dat Vo Minh; Thinh Nguyen Le Quang; Anh Dinh The; Nguyen Thai-Nghe; Thanh-Hai Nguyen 001 (Vis. Comput. Ind. Biomed. Art, 2025)