10.1k citations · 21.9k across the 280 of their papers we have counts for
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Leveraging Semi-Supervised Learning for Fairness using Neural Networks
Vahid Noroozi, Sara Bahaadini, Samira Sheikhi +2
There has been a growing concern about the fairness of decision-making systems based on machine learning. The shortage of labeled data has been always a challenging problem facing…
Utility Mining Across Multi-Sequences with Individualized Thresholds
Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang +1
Utility-oriented pattern mining has become an emerging topic since it can reveal high-utility patterns (e.g., itemsets, rules, sequences) from different types of data, which provid…
Discovering High Utility Episodes in Sequences
Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao +1
Sequence data, e.g., complex event sequence, is more commonly seen than other types of data (e.g., transaction data) in real-world applications. For the mining task from sequence d…
Utility-Driven Mining of Trend Information for Intelligent System
Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao +3
Useful knowledge, embedded in a database, is likely to change over time. Identifying recent changes in temporal databases can provide valuable up-to-date information to decision-ma…
Deep Graph Similarity Learning: A Survey
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke +1
In many domains where data are represented as graphs, learning a similarity metric among graphs is considered a key problem, which can further facilitate various learning tasks, su…
Finding Route Hotspots in Large Labeled Networks
Mingtao Lei, Xi Zhang, Lingyang Chu +3
In many advanced network analysis applications, like social networks, e-commerce, and network security, hotspots are generally considered as a group of vertices that are tightly co…