Bridging Semantic eGovernment Applications using Ontology-to-Ontology Message Translation. - Michael Czajkowski; Benjamin Ashpole; Todd Hughes; Tuong Le (AAAI Spring Symposium: Semantic Web Meets eGovernment, 2006)

Personalized Facets for Semantic Search Using Linked Open Data with Social Networks. - Tuong Le; Bay Vo; Trong Hai Duong (IBICA, 2012)

Consensus for Collaborative Ontology-Based Vietnamese WordNet Building. - Tuong Le; Trong Hai Duong; Bay Vo; Sanggil Kang (ACIIDS (2), 2013)

Maintenance of a Frequent-Itemset Lattice Based on Pre-large Concept. - Bay Vo; Tuong Le; Tzung-Pei Hong; Bac Le (KSE (2), 2013)

An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets. - Tuong Le; Bay Vo; Frans Coenen (SMC, 2013)

A Hybrid Approach for Mining Frequent Itemsets. - Bay Vo; Frans Coenen; Tuong Le; Tzung-Pei Hong (SMC, 2013)

A New Approach for Mining Top-Rank-k Erasable Itemsets. - Giang Nguyen; Tuong Le; Bay Vo; Bac Le (ACIIDS (1), 2014)

Subsume Concept in Erasable Itemset Mining. - Giang Nguyen; Tuong Le; Bay Vo; Hoai Bac Le; Phi-Cuong Trinh (ICCCI, 2014)

Enhancing the mining top-rank-k frequent patterns. - Hoai Bac Le; Bay Vo; Quyen Huynh-Thi-Le; Tuong Le (SMC, 2014)

An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining. - Bay Vo; Tuong Le; Tzung-Pei Hong; Hoai Bac Le (Appl. Intell., 2014)

MEI: An efficient algorithm for mining erasable itemsets. - Tuong Le; Bay Vo (Eng. Appl. Artif. Intell., 2014)

A survey of erasable itemset mining algorithms. - Tuong Le; Bay Vo; Giang Nguyen (WIREs Data Mining Knowl. Discov., 2014)

Discovering Erasable Closed Patterns. - Giang Nguyen; Tuong Le; Bay Vo; Bac Le (ACIIDS (1), 2015)

EIFDD: An efficient approach for erasable itemset mining of very dense datasets. - Giang Nguyen; Tuong Le; Bay Vo; Hoai Bac Le (Appl. Intell., 2015)

Fast updated frequent-itemset lattice for transaction deletion. - Bay Vo; Tuong Le; Tzung-Pei Hong; Hoai Bac Le (Data Knowl. Eng., 2015)

An efficient and effective algorithm for mining top-rank-k frequent patterns. - Quyen Huynh-Thi-Le; Tuong Le; Bay Vo; Hoai Bac Le (Expert Syst. Appl., 2015)

An N-list-based algorithm for mining frequent closed patterns. - Tuong Le; Bay Vo (Expert Syst. Appl., 2015)

Mining frequent itemsets using the N-list and subsume concepts. - Bay Vo; Tuong Le; Frans Coenen; Tzung-Pei Hong (Int. J. Mach. Learn. Cybern., 2016)

The lattice-based approaches for mining association rules: a review. - Tuong Le; Bay Vo (WIREs Data Mining Knowl. Discov., 2016)

Efficient Algorithms for Mining Erasable Closed Patterns From Product Datasets. - Bay Vo; Tuong Le; Giang Nguyen; Tzung-Pei Hong (IEEE Access, 2017)

Mining top-k co-occurrence items with sequential pattern. - Tung Kieu; Bay Vo; Tuong Le; Zhi-Hong Deng 001; Bac Le (Expert Syst. Appl., 2017)

Mining erasable itemsets with subset and superset itemset constraints. - Bay Vo; Tuong Le; Witold Pedrycz; Giang Nguyen; Sung Wook Baik (Expert Syst. Appl., 2017)

A novel approach for mining maximal frequent patterns. - Bay Vo; Sang Pham; Tuong Le; Zhi-Hong Deng 001 (Expert Syst. Appl., 2017)

Mining constrained inter-sequence patterns: a novel approach to cope with item constraints. - Tuong Le; Anh Nguyen 006; Bao Huynh; Bay Vo; Witold Pedrycz (Appl. Intell., 2018)

Efficient algorithms for mining top-rank-k erasable patterns using pruning strategies and the subsume concept. - Tuong Le; Bay Vo; Sung Wook Baik (Eng. Appl. Artif. Intell., 2018)

Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction Dataset. - Tuong Le; Mi Young Lee; Jun Ryeol Park; Sung Wook Baik (Symmetry, 2018)

A Cluster-Based Boosting Algorithm for Bankruptcy Prediction in a Highly Imbalanced Dataset. - Tuong Le; Le Hoang Son; Minh Thanh Vo; Mi Young Lee; Sung Wook Baik (Symmetry, 2018)

A Novel Framework for Trash Classification Using Deep Transfer Learning. - Anh Hoang Vo; Le Hoang Son; Minh Thanh Vo; Tuong Le (IEEE Access, 2019)

SPPC: a new tree structure for mining erasable patterns in data streams. - Tuong Le; Bay Vo; Philippe Fournier-Viger; Mi Young Lee; Sung Wook Baik (Appl. Intell., 2019)

A New Approach for Construction of Geodemographic Segmentation Model and Prediction Analysis. - Hoang Viet Long; Le Hoang Son; Manju Khari; Kanika Arora; Siddharth Chopra; Raghvendra Kumar 001; Tuong Le; Sung Wook Baik (Comput. Intell. Neurosci., 2019)

A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction. - Tuong Le; Minh Thanh Vo; Bay Vo; Mi Young Lee; Sung Wook Baik (Complex., 2019)

A fast and accurate approach for bankruptcy forecasting using squared logistics loss with GPU-based extreme gradient boosting. - Tuong Le; Bay Vo; Hamido Fujita; Ngoc Thanh Nguyen 001; Sung Wook Baik (Inf. Sci., 2019)

A Robust Framework for Self-Care Problem Identification for Children with Disability. - Tuong Le; Sung Wook Baik (Symmetry, 2019)

Robust Head Pose Estimation Using Extreme Gradient Boosting Machine on Stacked Autoencoders Neural Network. - Minh Thanh Vo; Trang Nguyen; Tuong Le (IEEE Access, 2020)

Mining top-k frequent patterns from uncertain databases. - Tuong Le; Bay Vo; Van-Nam Huynh; Ngoc Thanh Nguyen 001; Sung Wook Baik (Appl. Intell., 2020)

Brent Oil Price Prediction Using Bi-LSTM Network. - Anh H. Vo; Trang Nguyen; Tuong Le (Intell. Autom. Soft Comput., 2020)

Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering. - Minh Thanh Vo; Rohit Sharma 002; Raghvendra Kumar 001; Le Hoang Son; Binh Thai Pham; Dieu Tien Bui; Ishaani Priyadarshini; Manash Sarkar; Tuong Le (J. Intell. Fuzzy Syst., 2020)

Mining top-rank-k frequent weighted itemsets using WN-list structures and an early pruning strategy. - Bay Vo; Huong Bui; Thanh Vo; Tuong Le (Knowl. Based Syst., 2020)

Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building. - Tuong Le; Minh Thanh Vo; Tung Kieu; Eenjun Hwang; Seungmin Rho; Sung Wook Baik (Sensors, 2020)

A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams. - Huong Bui; Tu-Anh Nguyen-Hoang; Bay Vo; Ham Nguyen; Tuong Le (IEEE Access, 2021)

Efficient Methods for Clickstream Pattern Mining on Incremental Databases. - Bay Vo; Huy-Cuong Nguyen; Bao Huynh; Tuong Le (IEEE Access, 2021)

Mining colossal patterns with length constraints. - Tuong Le; Thanh-Long Nguyen; Bao Huynh; Hung Nguyen; Tzung-Pei Hong; Václav Snásel (Appl. Intell., 2021)

Noise-adaptive synthetic oversampling technique. - Minh Thanh Vo; Trang Nguyen; Anh Hoang Vo; Tuong Le (Appl. Intell., 2021)

Optimization strategies of neural networks for impact damage classification of RC panels in a small dataset. - Quoc Hoan Doan; Tuong Le; Duc-Kien Thai (Appl. Soft Comput., 2021)

Mining Frequent Weighted Utility Patterns in Dynamic Quantitative Databases. - Nguyen Le; Huong Bui; Minh Nguyen; Ham Nguyen; Tuong Le (RIVF, 2022)

Predicting Monthly Household Water Consumption. - Minh Thanh Vo; Duong Vu; Ham Nguyen; Huong Bui; Tuong Le (RIVF, 2022)

A comprehensive survey of imbalanced learning methods for bankruptcy prediction. - Tuong Le (IET Commun., 2022)

An efficient approach for mining weighted uncertain interesting patterns. - Ham Nguyen; Dang Vo; Huong Bui; Tuong Le; Bay Vo (Inf. Sci., 2022)

Mining frequent weighted utility itemsets in hierarchical quantitative databases. - Ham Nguyen; Tuong Le; Minh Nguyen; Philippe Fournier-Viger; Vincent S. Tseng; Bay Vo (Knowl. Based Syst., 2022)

A robust framework for shoulder implant X-ray image classification. - Minh Thanh Vo; Anh Hoang Vo; Tuong Le (Data Technol. Appl., 2022)

A new approach for efficiently mining frequent weighted utility patterns. - Ham Nguyen; Nguyen Le; Huong Bui; Tuong Le (Appl. Intell., 2023)

A Hybrid Deep Learning Approach for PM2.5 Concentration Prediction in Smart Environmental Monitoring. - Minh Thanh Vo; Anh H. Vo; Huong Bui; Tuong Le (Intell. Autom. Soft Comput., 2023)

Mining frequent weighted utility patterns with dynamic weighted items from quantitative databases. - Ham Nguyen; Nguyen Le; Huong Bui; Tuong Le (Appl. Intell., 2023)

Improved Online Reachability Preservers. - Greg Bodwin; Tuong Le (SODA, 2025)

Improving fake job description detection using deep learning-based NLP techniques. - Dinh-Hong Vu; Kien Nguyen; Thien Khai Tran; Bay Vo; Tuong Le (J. Inf. Telecommun., 2025)

Notes on the Linear Algebraic View of Regularity Lemmas. - Greg Bodwin; Tuong Le (CoRR, 2025)