Nguyen Thai-Nghe

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 42

Top Venues

University of Hildesheim (PHD)

Education History

University of Hildesheim

PHD

Publications

Luyl-Da Quach, Khang Quoc Nguyen, Anh Quynh Nguyen, Hoang Ngoc Tran, Nguyen Thai-Nghe
Tomato Health Monitoring System: Tomato Classification, Detection, and Counting System Based on YOLOv8 Model With Explainable MobileNet Models Using Grad-CAM++. IEEE Access 12 (2024)
Le Huynh Quoc Bao, Huynh Huu Bao Khoa, Nguyen Thai-Nghe
An Ensemble Model for Combining Deep Matrix Factorization and Image-Based Recommendation Systems. SN Comput. Sci. 5 (6) (2024)
Nguyen Thai-Nghe, Vo Van Kiet, Huu-Hoa Nguyen
Brain Tumor Segmentation with FPN-Based EfficientNet and XAI. ACIIDS (2) (2024)
An Cong Tran, Duc-Thien Tran, Nguyen Thai-Nghe, Tran Thanh Dien, Hai Thanh Nguyen
Course Recommendation Based on Graph Convolutional Neural Network. IEA/AIE (1) (2023)
Nguyen Thai-Nghe, Nguyen Thi Kim Xuyen, An Cong Tran, Tran Thanh Dien
Dealing with New User Problem Using Content-Based Deep Matrix Factorization. IEA/AIE (2) (2023)
Nguyen Thai-Nghe, Tran Khanh Dong, Hoang Xuan Tri, Nguyen Chi-Ngon
Deep Learning Approach for Tomato Leaf Disease Detection. FDSE (2023)
Nguyen Xuan Ha Giang, Lam Thanh Toan, Nguyen Thai-Nghe
Session-Based Recommendation System Approach for Predicting Learning Performance. FDSE (2023)
Huynh-Ly Thanh-Nhan, Le Huy-Thap, Nguyen Thai-Nghe
Deep Biased Matrix Factorization for Student Performance Prediction. EAI Endorsed Trans. Context aware Syst. Appl. 9 (1) (2023)
Luyl-Da Quach, Khang Quoc Nguyen, Anh Quynh Nguyen, Nguyen Thai-Nghe, Tri Gia Nguyen
Explainable Deep Learning Models With Gradient-Weighted Class Activation Mapping for Smart Agriculture. IEEE Access 11 (2023)
Nguyen Thai-Nghe, Hai Thanh Nguyen, Tran Thanh Dien
Recommendations in E-Commerce Systems Based on Deep Matrix Factorization. FDSE (CCIS Volume) (2022)
Tran Thanh Dien, Nguyen Thanh Hai, Nguyen Thai-Nghe
An approach for learning resource recommendation using deep matrix factorization. J. Inf. Telecommun. 6 (4) (2022)
Hai Thanh Nguyen, Anh Duy Le, Nguyen Thai-Nghe, Tran Thanh Dien
An Approach for Similarity Vietnamese Documents Detection from English Documents. FDSE (CCIS Volume) (2022)
Nguyen Van-Binh, Nguyen Thai-Nghe
Cardiovascular Disease Detection on X-Ray Images with Transfer Learning. IEA/AIE (2022)
Marcin Jodlowiec, Adriana Albu, Krzysztof Wolk, Nguyen Thai-Nghe, Adrian Karasinski
Layer-Wise Optimization of Contextual Neural Networks with Dynamic Field of Aggregation. ACIIDS (2) (2022)
Huynh Thanh-Du, Maciej Huk, Nguyen Hung Dung, Nguyen Thai-Nghe
An Attendance Checking System on Mobile Devices Using Transfer Learning. SoMeT (2022)
Nguyen Thai-Nghe, Pham Hong Sang
A Session-Based Recommender System for Learning Resources. FDSE (CCIS Volume) (2022)
Tran Thanh Dien, Hai Thanh Nguyen, Nguyen Thai-Nghe
Deep Matrix Factorization for Learning Resources Recommendation. ICCCI (2021)
Huong Thu Thi Luong, Huong Hoang Luong, Hai Thanh Nguyen, Nguyen Thai-Nghe
Hospital Revenue Forecast Using Multivariate and Univariate Long Short-Term Memories. FDSE (CCIS Volume) (2021)
Tran Thanh Dien, Le Duy-Anh, Nguyen Hong-Phat, Nguyen Van-Tuan, Trinh Thanh-Chanh, Le Minh-Bang, Hai Thanh Nguyen, Nguyen Thai-Nghe
Four Grade Levels-Based Models with Random Forest for Student Performance Prediction at a Multidisciplinary University. CISIS (2021)
Tran Thanh Dien, Pham Huu Phuoc, Nguyen Thanh Hai, Nguyen Thai-Nghe
Personalized Student Performance Prediction Using Multivariate Long Short-Term Memory. FDSE (CCIS Volume) (2021)
Huynh-Ly Thanh-Nhan, Le Huy-Thap, Nguyen Thai-Nghe
Integrating Deep Learning Architecture into Matrix Factorization for Student Performance Prediction. FDSE (2021)
Nguyen Thanh Hai, Toan Bao Tran, An Cong Tran, Nguyen Thai-Nghe
Feature Selection Using Local Interpretable Model-Agnostic Explanations on Metagenomic Data. FDSE (CCIS Volume) (2020)
Tran Thanh Dien, Le Van Trung, Nguyen Thai-Nghe
An approach for semantic-based searching in learning resources. KSE (2020)
Nguyen Thai-Nghe, Tran Thanh Hung, Nguyen Chi-Ngon
A Forecasting Model for Monitoring Water Quality in Aquaculture and Fisheries IoT Systems. ACOMP (2020)
Nguyen Thai-Nghe, Nguyen Thanh Hai
Forecasting Sensor Data Using Multivariate Time Series Deep Learning. FDSE (CCIS Volume) (2020)
Tran Thanh Dien, Luu Hoai-Sang, Nguyen Thanh Hai, Nguyen Thai-Nghe
Course Recommendation with Deep Learning Approach. FDSE (CCIS Volume) (2020)
Thanh Hai Nguyen, Nguyen Thai-Nghe
Diagnosis Approaches for Colorectal Cancer Using Manifold Learning and Deep Learning. SN Comput. Sci. 1 (5) (2020)
Tran Thanh Dien, Huynh Ngoc Han, Nguyen Thai-Nghe
An Approach for Plagiarism Detection in Learning Resources. FDSE (2019)
Nguyen Hong Son, Nguyen Thai-Nghe
Deep Learning for Rice Quality Classification. ACOMP (2019)
Thanh Hai Nguyen, Nguyen Thai-Nghe
Disease Prediction Using Metagenomic Data Visualizations Based on Manifold Learning and Convolutional Neural Network. FDSE (2019)
Tran Thanh Dien, Bui Huu Loc, Nguyen Thai-Nghe
Article Classification using Natural Language Processing and Machine Learning. ACOMP (2019)
Huynh-Ly Thanh-Nhan, Le Huy-Thap, Nguyen Thai-Nghe
Toward integrating social networks into intelligent tutoring systems. KSE (2017)
Nguyen Thai-Nghe, Mai Nhut-Tu, Huu-Hoa Nguyen
An Approach for Multi-Relational Data Context in Recommender Systems. ACIIDS (1) (2017)
Huynh Thanh-Tai, Nguyen Thai-Nghe
A Semantic-Based Recommendation Approach for Cold-Start Problem. FDSE (2017)
Luu Nguyen Anh-Thu, Huu-Hoa Nguyen, Nguyen Thai-Nghe
A Context-Aware Implicit Feedback Approach for Online Shopping Recommender Systems. ACIIDS (2) (2016)
Nguyen Thanh Hai, Huu-Hoa Nguyen, Nguyen Thai-Nghe
A Mobility Prediction Model for Location-Based Social Networks. ACIIDS (1) (2016)
Huynh Thanh-Tai, Huu-Hoa Nguyen, Nguyen Thai-Nghe
A Semantic Approach in Recommender Systems. FDSE (2016)
Huynh-Ly Thanh-Nhan, Huu-Hoa Nguyen, Nguyen Thai-Nghe
Methods for building course recommendation systems. KSE (2016)
Tran Nguyen Minh-Thai, Nguyen Thai-Nghe
Methods for Abnormal Usage Detection in Developing Intelligent Systems for Smart Homes. KSE (2015)
Nguyen Thai-Nghe, Quoc Dinh Truong
An Approach for Building a Semi-automatic Online Consultancy System. ACOMP (2015)
Nguyen Thai-Nghe, Lars Schmidt-Thieme
Multi-relational Factorization Models for Student Modeling in Intelligent Tutoring Systems. KSE (2015)
Tran Nguyen Minh-Thai, Nguyen Thai-Nghe
An Approach for Developing Intelligent Systems in Smart Home Environment. FDSE (2015)
Nguyen Thai-Nghe, Nguyen Chi-Ngon
An approach for building an intelligent parking support system. SoICT (2014)
Lucas Drumond, Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme
Factorization techniques for student performance classification and ranking. UMAP Workshops (2012)
Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Lars Schmidt-Thieme
Using factorization machines for student modeling. UMAP Workshops (2012)
Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme
Personalized Forecasting Student Performance. ICALT (2011)
Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Alexandros Nanopoulos, Lars Schmidt-Thieme
Matrix and Tensor Factorization for Predicting Student Performance. CSEDU (1) (2011)
Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme
A new evaluation measure for learning from imbalanced data. IJCNN (2011)
Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme
Factorization Models for Forecasting Student Performance. EDM (2011)
Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme
Cost-sensitive learning methods for imbalanced data. IJCNN (2010)
Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimberghe, Lars Schmidt-Thieme
Recommender system for predicting student performance. RecSysTEL@RecSys (2) (2010)
Nguyen Thai-Nghe, André Busche, Lars Schmidt-Thieme
Improving Academic Performance Prediction by Dealing with Class Imbalance. ISDA (2009)

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Publication Activity (10 Years)

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Nguyen Thai-Nghe