Tuong Le

Publications by Year

Research Areas

Data Mining Algorithms and Applications, Rough Sets and Fuzzy Logic, Imbalanced Data Classification Techniques, Data Management and Algorithms, Financial Distress and Bankruptcy Prediction

Most-Cited Works

• → Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM(2019)262 cited
• → A Novel Framework for Trash Classification Using Deep Transfer Learning(2019)204 cited
• → A Hybrid Approach Using Oversampling Technique and Cost‐Sensitive Learning for Bankruptcy Prediction(2019)87 cited
• → Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction Dataset(2018)86 cited
• → Mining frequent itemsets using the N-list and subsume concepts(2014)83 cited
• → A Cluster-Based Boosting Algorithm for Bankruptcy Prediction in a Highly Imbalanced Dataset(2018)83 cited
• → Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building(2020)80 cited
• → A fast and accurate approach for bankruptcy forecasting using squared logistics loss with GPU-based extreme gradient boosting(2019)80 cited
• → Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering(2020)76 cited
• → MEI: An efficient algorithm for mining erasable itemsets(2013)61 cited