Nguyen Thai-Nghe

69 papers B 5C 3Misc 1Journal 16Unranked 42
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Approach for Breast Cancer X-Ray Images Classification Based on Vision Transformer.
Vietnam. J. Comput. Sci.
Huong Hoang Luong, Kiet Tuan Pham, Dat Thanh Le, Danh Le Pham Thanh, Long Le Hoang Hai, Hoang Nhat Nguyen, Nguyen Thai-Nghe, Hai Thanh Nguyen
2025 J jnl
Classifying Intangible Cultural Heritage Images in the Mekong Delta.
SN Comput. Sci.
Minh-Tan Tran, The-Phi Pham, Nguyen Thai-Nghe, Thanh-Nghi Do
2025 J jnl
Detection and classification of breast cancer in mammographic images with fine-tuned convolutional neural networks.
J. Inf. Telecommun.
Huong Hoang Luong, Hai Thanh Nguyen, Nguyen Thai-Nghe
2025 J jnl
EfficientPhoCaption: An Enhanced PhoBERT-Based Image Captioning Framework for Breast Cancer Diagnosis.
SN Comput. Sci.
Huong Hoang Luong, Hai Thanh Nguyen, Nguyen Thai-Nghe
2025 J jnl
Explainable Dual-Branch Hybrid Model for Maize Leaf Disease Classification.
SN Comput. Sci.
Luyl-Da Quach, Nguyen Thai-Nghe, Chi-Ngon Nguyen
2025 J jnl
Graph Neural Networks with Transformer for Sequential Recommendation.
SN Comput. Sci.
Mai Thi Cam Nhung, Nguyen Thai-Nghe
2025 — conf
Improving University Quality from Student Feedback with Sentiment Analysis.
IEA/AIE (2)
Nguyen Thai-Nghe, Phan Thi Bich Van, Mai Thi Cam Nhung, Ngo Ba Hung
2025 J jnl
Improving breast cancer prediction via progressive ensemble and image enhancement.
Multim. Tools Appl.
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
2025 J jnl
Inverted Index for Similar Document Detection: A Case Study at Can Tho University Journal of Science.
SN Comput. Sci.
Hai Thanh Nguyen, Ky Hoa Duong, Linh Thuy Thi Pham, Phuong Ha Dang Bui, Nguyen Thai-Nghe, Tran Thanh Dien
2025 J jnl
Principal component analysis and fine-tuned vision transformation integrating model explainability for breast cancer prediction.
Vis. Comput. Ind. Biomed. Art
Huong Hoang Luong, Phuc Phan Hong, Dat Vo Minh, Thinh Nguyen Le Quang, Anh Dinh The, Nguyen Thai-Nghe, Thanh-Hai Nguyen
2025 J jnl
XAI-BO: an architecture using Grad-CAM technique to evaluate Bayesian optimization algorithms on deep learning models.
J. Inf. Telecommun.
Luyl-Da Quach, Nguyen Quoc Khang, Nguyen Thai-Nghe, Chi-Ngon Nguyen
2024 — conf
An Approach for Movie Recommendation Using Deep Matrix Factorization.
FDSE (2)
Nguyen Thai-Nghe, Phuc Pham Minh, Mai Thi Cam Nhung
2024 J jnl
An Ensemble Model for Combining Deep Matrix Factorization and Image-Based Recommendation Systems.
SN Comput. Sci.
Le Huynh Quoc Bao, Huynh Huu Bao Khoa, Nguyen Thai-Nghe
2024 — conf
BCCNetAttention: Enhancing Breast Cancer Report Through Image Captioning with Convolution Neural Network and Transformers Architecture.
CSoNet
Huong Hoang Luong, Nguyen Thai-Nghe, Thanh-Hai Nguyen
2024 — conf
Brain Tumor Segmentation with FPN-Based EfficientNet and XAI.
ACIIDS (2)
Nguyen Thai-Nghe, Vo Van Kiet, Huu-Hoa Nguyen
2024 — conf
Sequential Recommendation Using Graph Neuron Networks.
FDSE (1)
Mai Thi Cam Nhung, Nguyen Thuy Anh, Nguyen Thai-Nghe
2024 J jnl
Tomato Health Monitoring System: Tomato Classification, Detection, and Counting System Based on YOLOv8 Model With Explainable MobileNet Models Using Grad-CAM++.
IEEE Access
Luyl-Da Quach, Nguyen Quoc Khang, Anh Quynh Nguyen, Hoang Ngoc Tran, Nguyen Thai-Nghe
2023 — conf
Course Recommendation Based on Graph Convolutional Neural Network.
IEA/AIE (1)
An Cong Tran, Duc-Thien Tran, Nguyen Thai-Nghe, Tran Thanh Dien, Hai Thanh Nguyen
2023 — conf
Dealing with New User Problem Using Content-Based Deep Matrix Factorization.
IEA/AIE (2)
Nguyen Thai-Nghe, Nguyen Thi Kim Xuyen, An Cong Tran, Tran Thanh Dien
2023 J jnl
Deep Biased Matrix Factorization for Student Performance Prediction.
EAI Endorsed Trans. Context aware Syst. Appl.
Huynh-Ly Thanh-Nhan, Le Huy-Thap, Nguyen Thai-Nghe
2023 — conf
Deep Learning Approach for Tomato Leaf Disease Detection.
FDSE
Nguyen Thai-Nghe, Tran Khanh Dong, Hoang Xuan Tri, Nguyen Chi-Ngon
2023 J jnl
Explainable Deep Learning Models With Gradient-Weighted Class Activation Mapping for Smart Agriculture.
IEEE Access
Luyl-Da Quach, Nguyen Quoc Khang, Anh Quynh Nguyen, Nguyen Thai-Nghe, Tri Gia Nguyen
2023 — conf
Session-Based Recommendation System Approach for Predicting Learning Performance.
FDSE
Nguyen Xuan Ha Giang, Lam Thanh Toan, Nguyen Thai-Nghe
2022 — conf
A Session-Based Recommender System for Learning Resources.
FDSE (CCIS Volume)
Nguyen Thai-Nghe, Pham Hong Sang
2022 — conf
An Approach for Similarity Vietnamese Documents Detection from English Documents.
FDSE (CCIS Volume)
Hai Thanh Nguyen, Anh Duy Le, Nguyen Thai-Nghe, Tran Thanh Dien
2022 C conf
An Attendance Checking System on Mobile Devices Using Transfer Learning.
SoMeT
Huynh Thanh-Du, Maciej Huk, Nguyen Hung Dung, Nguyen Thai-Nghe
2022 J jnl
An approach for learning resource recommendation using deep matrix factorization.
J. Inf. Telecommun.
Tran Thanh Dien, Nguyen Thanh Hai, Nguyen Thai-Nghe
2022 C conf
Cardiovascular Disease Detection on X-Ray Images with Transfer Learning.
IEA/AIE
Nguyen Van-Binh, Nguyen Thai-Nghe
2022 — conf
Layer-Wise Optimization of Contextual Neural Networks with Dynamic Field of Aggregation.
ACIIDS (2)
Marcin Jodlowiec, Adriana Albu, Krzysztof Wolk, Nguyen Thai-Nghe, Adrian Karasinski
2022 — conf
Recommendations in E-Commerce Systems Based on Deep Matrix Factorization.
FDSE (CCIS Volume)
Nguyen Thai-Nghe, Hai Thanh Nguyen, Tran Thanh Dien
2021 B conf
Deep Matrix Factorization for Learning Resources Recommendation.
ICCCI
Tran Thanh Dien, Hai Thanh Nguyen, Nguyen Thai-Nghe
2021 Misc conf
Four Grade Levels-Based Models with Random Forest for Student Performance Prediction at a Multidisciplinary University.
CISIS
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 — conf
Hospital Revenue Forecast Using Multivariate and Univariate Long Short-Term Memories.
FDSE (CCIS Volume)
Huong Thu Thi Luong, Huong Hoang Luong, Hai Thanh Nguyen, Nguyen Thai-Nghe
2021 — conf
Integrating Deep Learning Architecture into Matrix Factorization for Student Performance Prediction.
FDSE
Huynh-Ly Thanh-Nhan, Le Huy-Thap, Nguyen Thai-Nghe
2021 — conf
Personalized Student Performance Prediction Using Multivariate Long Short-Term Memory.
FDSE (CCIS Volume)
Tran Thanh Dien, Pham Huu Phuoc, Nguyen Thanh Hai, Nguyen Thai-Nghe
2020 — conf
A Forecasting Model for Monitoring Water Quality in Aquaculture and Fisheries IoT Systems.
ACOMP
Nguyen Thai-Nghe, Tran Thanh Hung, Nguyen Chi-Ngon
2020 — conf
An approach for semantic-based searching in learning resources.
KSE
Tran Thanh Dien, Le Van Trung, Nguyen Thai-Nghe
2020 — conf
Course Recommendation with Deep Learning Approach.
FDSE (CCIS Volume)
Tran Thanh Dien, Luu Hoai-Sang, Nguyen Thanh Hai, Nguyen Thai-Nghe
2020 — conf
Cyber Physical System: Achievements and challenges.
ICMLSC
Linh My Thi Ong, Nguyen Thai-Nghe, Huong Hoang Luong, Nghi C. Tran, Hiep Xuan Huynh
2020 J jnl
Diagnosis Approaches for Colorectal Cancer Using Manifold Learning and Deep Learning.
SN Comput. Sci.
Thanh Hai Nguyen, Nguyen Thai-Nghe
2020 — conf
Feature Selection Using Local Interpretable Model-Agnostic Explanations on Metagenomic Data.
FDSE (CCIS Volume)
Nguyen Thanh Hai, Toan Bao Tran, An Cong Tran, Nguyen Thai-Nghe
2020 — conf
Forecasting Sensor Data Using Multivariate Time Series Deep Learning.
FDSE (CCIS Volume)
Nguyen Thai-Nghe, Nguyen Thanh Hai
2019 — conf
An Approach for Plagiarism Detection in Learning Resources.
FDSE
Tran Thanh Dien, Huynh Ngoc Han, Nguyen Thai-Nghe
2019 — conf
Article Classification using Natural Language Processing and Machine Learning.
ACOMP
Tran Thanh Dien, Bui Huu Loc, Nguyen Thai-Nghe
2019 — conf
Deep Learning for Rice Quality Classification.
ACOMP
Nguyen Hong Son, Nguyen Thai-Nghe
2019 — conf
Disease Prediction Using Metagenomic Data Visualizations Based on Manifold Learning and Convolutional Neural Network.
FDSE
Thanh Hai Nguyen, Nguyen Thai-Nghe
2017 — conf
A Semantic-Based Recommendation Approach for Cold-Start Problem.
FDSE
Huynh Thanh-Tai, Nguyen Thai-Nghe
2017 — conf
An Approach for Multi-Relational Data Context in Recommender Systems.
ACIIDS (1)
Nguyen Thai-Nghe, Mai Nhut-Tu, Huu-Hoa Nguyen
2017 — conf
Toward integrating social networks into intelligent tutoring systems.
KSE
Huynh-Ly Thanh-Nhan, Le Huy-Thap, Nguyen Thai-Nghe
2016 — conf
A Context-Aware Implicit Feedback Approach for Online Shopping Recommender Systems.
ACIIDS (2)
Luu Nguyen Anh-Thu, Huu-Hoa Nguyen, Nguyen Thai-Nghe
2016 — conf
A Mobility Prediction Model for Location-Based Social Networks.
ACIIDS (1)
Nguyen Thanh Hai, Huu-Hoa Nguyen, Nguyen Thai-Nghe
2016 — conf
A Semantic Approach in Recommender Systems.
FDSE
Huynh Thanh-Tai, Huu-Hoa Nguyen, Nguyen Thai-Nghe
2016 — conf
Methods for building course recommendation systems.
KSE
Huynh-Ly Thanh-Nhan, Huu-Hoa Nguyen, Nguyen Thai-Nghe
2015 — conf
An Approach for Building a Semi-automatic Online Consultancy System.
ACOMP
Nguyen Thai-Nghe, Quoc Dinh Truong
2015 — conf
An Approach for Developing Intelligent Systems in Smart Home Environment.
FDSE
Tran Nguyen Minh-Thai, Nguyen Thai-Nghe
2015 — conf
Methods for Abnormal Usage Detection in Developing Intelligent Systems for Smart Homes.
KSE
Tran Nguyen Minh-Thai, Nguyen Thai-Nghe
2015 — conf
Multi-relational Factorization Models for Student Modeling in Intelligent Tutoring Systems.
KSE
Nguyen Thai-Nghe, Lars Schmidt-Thieme
2014 — conf
An approach for building an intelligent parking support system.
SoICT
Nguyen Thai-Nghe, Nguyen Chi-Ngon
2013 — ch.
An Evaluation Measure for Learning from Imbalanced Data Based on Asymmetric Beta Distribution.
Classification and Data Mining
Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme
2012 — conf
Factorization techniques for student performance classification and ranking.
UMAP Workshops
Lucas Drumond, Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme
2012 — —
Predicting Student Performance in an Intelligent Tutoring System.
Nguyen Thai-Nghe
2012 — conf
Using factorization machines for student modeling.
UMAP Workshops
Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Lars Schmidt-Thieme
2011 B conf
A new evaluation measure for learning from imbalanced data.
IJCNN
Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme
2011 B conf
Factorization Models for Forecasting Student Performance.
EDM
Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme
2011 — conf
Matrix and Tensor Factorization for Predicting Student Performance.
CSEDU (1)
Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Alexandros Nanopoulos, Lars Schmidt-Thieme
2011 B conf
Personalized Forecasting Student Performance.
ICALT
Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme
2010 B conf
Cost-sensitive learning methods for imbalanced data.
IJCNN
Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme
2010 — conf
Recommender system for predicting student performance.
RecSysTEL@RecSys
Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimberghe, Lars Schmidt-Thieme
2009 C conf
Improving Academic Performance Prediction by Dealing with Class Imbalance.
ISDA
Nguyen Thai-Nghe, André Busche, Lars Schmidt-Thieme