Tuong Le

According to our database, Tuong Le authored at least 52 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Improved Online Reachability Preservers.

Greg Bodwin, Tuong Le

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

2023

Mining frequent weighted utility patterns with dynamic weighted items from quantitative databases.

Ham Nguyen, Nguyen Le, Huong Bui, Tuong Le

Appl. Intell., August, 2023

A new approach for efficiently mining frequent weighted utility patterns.

Ham Nguyen, Nguyen Le, Huong Bui, Tuong Le

Appl. Intell., 2023

2022

A robust framework for shoulder implant X-ray image classification.

Minh Thanh Vo, Anh Hoang Vo, Tuong Le

Data Technol. Appl., 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

An efficient approach for mining weighted uncertain interesting patterns.

Ham Nguyen, Dang Vo, Huong Bui, Tuong Le, Bay Vo

Inf. Sci., 2022

A comprehensive survey of imbalanced learning methods for bankruptcy prediction.

Tuong Le

IET Commun., 2022

Predicting Monthly Household Water Consumption.

Minh Thanh Vo, Duong Vu, Ham Nguyen, Huong Bui, Tuong Le

Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Mining Frequent Weighted Utility Patterns in Dynamic Quantitative Databases.

Nguyen Le, Huong Bui, Minh Nguyen, Ham Nguyen, Tuong Le

Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

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

Noise-adaptive synthetic oversampling technique.

Minh Thanh Vo, Trang Nguyen, Anh Hoang Vo, Tuong Le

Appl. Intell., 2021

Mining colossal patterns with length constraints.

Tuong Le, Thanh-Long Nguyen, Bao Huynh, Hung Nguyen, Tzung-Pei Hong, Václav Snásel

Appl. Intell., 2021

Efficient Methods for Clickstream Pattern Mining on Incremental Databases.

Bay Vo, Huy-Cuong Nguyen, Bao Huynh, Tuong Le

IEEE Access, 2021

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

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

Mining top-rank-<i>k</i> frequent weighted itemsets using WN-list structures and an early pruning strategy.

Bay Vo, Huong Bui, Thanh Vo, Tuong Le

Knowl. Based Syst., 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, Raghvendra Kumar, Le Hoang Son, Binh Thai Pham, Dieu Tien Bui, Ishaani Priyadarshini, Manash Sarkar, Tuong Le

J. Intell. Fuzzy Syst., 2020

Mining top-k frequent patterns from uncertain databases.

Tuong Le, Bay Vo, Van-Nam Huynh, Ngoc Thanh Nguyen, Sung Wook Baik

Appl. Intell., 2020

Robust Head Pose Estimation Using Extreme Gradient Boosting Machine on Stacked Autoencoders Neural Network.

Minh Thanh Vo, Trang Nguyen, Tuong Le

IEEE Access, 2020

2019

A Robust Framework for Self-Care Problem Identification for Children with Disability.

Tuong Le, Sung Wook Baik

Symmetry, 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, Sung Wook Baik

Inf. Sci., 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 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, Tuong Le, Sung Wook Baik

Comput. Intell. Neurosci., 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 Novel Framework for Trash Classification Using Deep Transfer Learning.

Anh Hoang Vo, Le Hoang Son, Minh Thanh Vo, Tuong Le

IEEE Access, 2019

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

Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction Dataset.

Tuong Le, Mi Young Lee, Jun Ryeol Park, Sung Wook Baik

Symmetry, 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

Mining constrained inter-sequence patterns: a novel approach to cope with item constraints.

Tuong Le, Anh Nguyen, Bao Huynh, Bay Vo, Witold Pedrycz

Appl. Intell., 2018

2017

A novel approach for mining maximal frequent patterns.

Bay Vo, Sang Pham, Tuong Le, Zhi-Hong Deng

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

Mining top-k co-occurrence items with sequential pattern.

Tung Kieu, Bay Vo, Tuong Le, Zhi-Hong Deng, Bac Le

Expert Syst. Appl., 2017

Efficient Algorithms for Mining Erasable Closed Patterns From Product Datasets.

Bay Vo, Tuong Le, Giang Nguyen, Tzung-Pei Hong

IEEE Access, 2017

2016

The lattice-based approaches for mining association rules: a review.

Tuong Le, Bay Vo

WIREs Data Mining Knowl. Discov., 2016

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

2015

An N-list-based algorithm for mining frequent closed patterns.

Tuong Le, Bay Vo

Expert Syst. Appl., 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

Fast updated frequent-itemset lattice for transaction deletion.

Bay Vo, Tuong Le, Tzung-Pei Hong, Hoai Bac Le

Data Knowl. Eng., 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

Discovering Erasable Closed Patterns.

Giang Nguyen, Tuong Le, Bay Vo, Bac Le

Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014

A survey of erasable itemset mining algorithms.

Tuong Le, Bay Vo, Giang Nguyen

WIREs Data Mining Knowl. Discov., 2014

MEI: An efficient algorithm for mining erasable itemsets.

Tuong Le, Bay Vo

Eng. Appl. Artif. Intell., 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

Enhancing the mining top-rank-k frequent patterns.

Hoai Bac Le, Bay Vo, Quyen Huynh-Thi-Le, Tuong Le

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Subsume Concept in Erasable Itemset Mining.

Giang Nguyen, Tuong Le, Bay Vo, Hoai Bac Le, Phi-Cuong Trinh

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2014

A New Approach for Mining Top-Rank-k Erasable Itemsets.

Giang Nguyen, Tuong Le, Bay Vo, Bac Le

Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013

A Hybrid Approach for Mining Frequent Itemsets.

Bay Vo, Frans Coenen, Tuong Le, Tzung-Pei Hong

Proceedings of the IEEE International Conference on Systems, 2013

An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets.

Tuong Le, Bay Vo, Frans Coenen

Proceedings of the IEEE International Conference on Systems, 2013

Maintenance of a Frequent-Itemset Lattice Based on Pre-large Concept.

Bay Vo, Tuong Le, Tzung-Pei Hong, Bac Le

Proceedings of the Knowledge and Systems Engineering, 2013

Consensus for Collaborative Ontology-Based Vietnamese WordNet Building.

Tuong Le, Trong Hai Duong, Bay Vo, Sanggil Kang

Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012

Personalized Facets for Semantic Search Using Linked Open Data with Social Networks.

Tuong Le, Bay Vo, Trong Hai Duong

Proceedings of the 2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications, 2012

2006

Bridging Semantic eGovernment Applications using Ontology-to-Ontology Message Translation.

Michael Czajkowski, Benjamin Ashpole, Todd Hughes, Tuong Le

Proceedings of the Semantic Web Meets eGovernment, 2006