7 citations · 17 across the 6 of their papers we have counts for
6 papers
On some studies of Fraud Detection Pipeline and related issues from the scope of Ensemble Learning and Graph-based Learning
Tuan Tran
The UK anti-fraud charity Fraud Advisory Panel (FAP) in their review of 2016 estimates business costs of fraud at 144 billion, and its individual counterpart at 9.7 billion. Bankin…
A Trio Neural Model for Dynamic Entity Relatedness Ranking
Tu Nguyen, Tuan Tran, Wolfgang Nejdl
Measuring entity relatedness is a fundamental task for many natural language processing and information retrieval applications. Prior work often studies entity relatedness in stati…
Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events
Tuan Tran, Claudia Niederée, Nattiya Kanhabua +2
Long-running, high-impact events such as the Boston Marathon bombing often develop through many stages and involve a large number of entities in their unfolding. Timeline summariza…
Can We Find Documents in Web Archives without Knowing their Contents?
Khoi Duy Vo, Tuan Tran, Tu Ngoc Nguyen +2
Recent advances of preservation technologies have led to an increasing number of Web archive systems and collections. These collections are valuable to explore the past of the Web,…
Semantic Annotation for Microblog Topics Using Wikipedia Temporal Information
Tuan Tran, Nam Khanh Tran, Teka Hadgu Asmelash +1
Trending topics in microblogs such as Twitter are valuable resources to understand social aspects of real-world events. To enable deep analyses of such trends, semantic annotation…
Hedera: Scalable Indexing and Exploring Entities in Wikipedia Revision History
Tuan Tran, Tu Ngoc Nguyen
Much of work in semantic web relying on Wikipedia as the main source of knowledge often work on static snapshots of the dataset. The full history of Wikipedia revisions, while cont…