Nguyen Thai-Nghe

Le Huy-Thap

EAI Endorsed Trans. Context aware Syst. Appl., 2023

Explainable Deep Learning Models With Gradient-Weighted Class Activation Mapping for Smart Agriculture.

[BibT_eX]

[DOI]

IEEE Access, 2023

Course Recommendation Based on Graph Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

Dealing with New User Problem Using Content-Based Deep Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

Deep Learning Approach for Tomato Leaf Disease Detection.

[BibT_eX]

[DOI]

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2023

Session-Based Recommendation System Approach for Predicting Learning Performance.

[BibT_eX]

[DOI]

Nguyen Xuan Ha Giang

Lam Thanh Toan

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2023

2022

An approach for learning resource recommendation using deep matrix factorization.

[BibT_eX]

[DOI]

Nguyen Thanh Hai

J. Inf. Telecommun., 2022

An Attendance Checking System on Mobile Devices Using Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2022

Cardiovascular Disease Detection on X-Ray Images with Transfer Learning.

[BibT_eX]

[DOI]

Nguyen Van-Binh

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

A Session-Based Recommender System for Learning Resources.

[BibT_eX]

[DOI]

Pham Hong Sang

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

Recommendations in E-Commerce Systems Based on Deep Matrix Factorization.

[BibT_eX]

[DOI]

Hai Thanh Nguyen

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

An Approach for Similarity Vietnamese Documents Detection from English Documents.

[BibT_eX]

[DOI]

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

Layer-Wise Optimization of Contextual Neural Networks with Dynamic Field of Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

Deep Matrix Factorization for Learning Resources Recommendation.

[BibT_eX]

[DOI]

Hai Thanh Nguyen

Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

Integrating Deep Learning Architecture into Matrix Factorization for Student Performance Prediction.

[BibT_eX]

[DOI]

Le Huy-Thap

Proceedings of the Future Data and Security Engineering - 8th International Conference, 2021

Hospital Revenue Forecast Using Multivariate and Univariate Long Short-Term Memories.

[BibT_eX]

[DOI]

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2021

Personalized Student Performance Prediction Using Multivariate Long Short-Term Memory.

[BibT_eX]

[DOI]

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2021

Four Grade Levels-Based Models with Random Forest for Student Performance Prediction at a Multidisciplinary University.

[BibT_eX]

[DOI]

Proceedings of the Complex, Intelligent and Software Intensive Systems, 2021

2020

Diagnosis Approaches for Colorectal Cancer Using Manifold Learning and Deep Learning.

[BibT_eX]

[DOI]

Thanh Hai Nguyen

SN Comput. Sci., 2020

An approach for semantic-based searching in learning resources.

[BibT_eX]

[DOI]

Le Van Trung

Proceedings of the 12th International Conference on Knowledge and Systems Engineering, 2020

Cyber Physical System: Achievements and challenges.

[BibT_eX]

[DOI]

Proceedings of the ICMLSC 2020: The 4th International Conference on Machine Learning and Soft Computing, 2020

Feature Selection Using Local Interpretable Model-Agnostic Explanations on Metagenomic Data.

[BibT_eX]

[DOI]

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2020

Forecasting Sensor Data Using Multivariate Time Series Deep Learning.

[BibT_eX]

[DOI]

Nguyen Thanh Hai

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2020

Course Recommendation with Deep Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2020

A Forecasting Model for Monitoring Water Quality in Aquaculture and Fisheries IoT Systems.

[BibT_eX]

[DOI]

Tran Thanh Hung

Nguyen Chi-Ngon

Proceedings of the International Conference on Advanced Computing and Applications, 2020

2019

Disease Prediction Using Metagenomic Data Visualizations Based on Manifold Learning and Convolutional Neural Network.

[BibT_eX]

[DOI]

Thanh Hai Nguyen

Proceedings of the Future Data and Security Engineering - 6th International Conference, 2019

An Approach for Plagiarism Detection in Learning Resources.

[BibT_eX]

[DOI]

Huynh Ngoc Han

Proceedings of the Future Data and Security Engineering - 6th International Conference, 2019

Deep Learning for Rice Quality Classification.

[BibT_eX]

[DOI]

Nguyen Hong Son

Proceedings of the 2019 International Conference on Advanced Computing and Applications, 2019

Article Classification using Natural Language Processing and Machine Learning.

[BibT_eX]

[DOI]

Bui Huu Loc

Proceedings of the 2019 International Conference on Advanced Computing and Applications, 2019

2017

Toward integrating social networks into intelligent tutoring systems.

[BibT_eX]

[DOI]

Le Huy-Thap

Proceedings of the 9th International Conference on Knowledge and Systems Engineering, 2017

A Semantic-Based Recommendation Approach for Cold-Start Problem.

[BibT_eX]

[DOI]

Huynh Thanh-Tai

Proceedings of the Future Data and Security Engineering - 4th International Conference, 2017

An Approach for Multi-Relational Data Context in Recommender Systems.

[BibT_eX]

[DOI]

Mai Nhut-Tu

Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2016

Methods for building course recommendation systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 Eighth International Conference on Knowledge and Systems Engineering, 2016

A Semantic Approach in Recommender Systems.

[BibT_eX]

[DOI]

Huynh Thanh-Tai

Proceedings of the Future Data and Security Engineering - Third International Conference, 2016

A Mobility Prediction Model for Location-Based Social Networks.

[BibT_eX]

[DOI]

Nguyen Thanh Hai

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

A Context-Aware Implicit Feedback Approach for Online Shopping Recommender Systems.

[BibT_eX]

[DOI]

Luu Nguyen Anh-Thu

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015

Multi-relational Factorization Models for Student Modeling in Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the 2015 Seventh International Conference on Knowledge and Systems Engineering, 2015

Methods for Abnormal Usage Detection in Developing Intelligent Systems for Smart Homes.

[BibT_eX]

[DOI]

Tran Nguyen Minh-Thai

Proceedings of the 2015 Seventh International Conference on Knowledge and Systems Engineering, 2015

An Approach for Developing Intelligent Systems in Smart Home Environment.

[BibT_eX]

[DOI]

Tran Nguyen Minh-Thai

Proceedings of the Future Data and Security Engineering - Second International Conference, 2015

An Approach for Building a Semi-automatic Online Consultancy System.

[BibT_eX]

[DOI]

Quoc Dinh Truong

Proceedings of the 2015 International Conference on Advanced Computing and Applications, 2015

2014

An approach for building an intelligent parking support system.

[BibT_eX]

[DOI]

Nguyen Chi-Ngon

Proceedings of the Fifth Symposium on Information and Communication Technology, 2014

2013

An Evaluation Measure for Learning from Imbalanced Data Based on Asymmetric Beta Distribution.

[BibT_eX]

[DOI]

Zeno Gantner

Proceedings of the Classification and Data Mining, 2013

2012

Predicting Student Performance in an Intelligent Tutoring System.

[BibT_eX]

[DOI]

PhD thesis, 2012

Using factorization machines for student modeling.

[BibT_eX]

[DOI]

Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

Factorization techniques for student performance classification and ranking.

[BibT_eX]

[DOI]

Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

2011

A new evaluation measure for learning from imbalanced data.

[BibT_eX]

[DOI]

Zeno Gantner

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Personalized Forecasting Student Performance.

[BibT_eX]

[DOI]

Tomás Horváth

Proceedings of the ICALT 2011, 2011

Factorization Models for Forecasting Student Performance.

[BibT_eX]

[DOI]

Tomás Horváth

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Matrix and Tensor Factorization for Predicting Student Performance.

[BibT_eX]

Lucas Drumond

Tomás Horváth

Alexandros Nanopoulos

Proceedings of the CSEDU 2011, 2011

2010

Recommender system for predicting student performance.

[BibT_eX]

[DOI]

Lucas Drumond

Artus Krohn-Grimberghe

Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning, 2010

Cost-sensitive learning methods for imbalanced data.

[BibT_eX]

[DOI]

Zeno Gantner

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Improving Academic Performance Prediction by Dealing with Class Imbalance.

[BibT_eX]

[DOI]

André Busche