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20092026
most citedData Acquisition for Improving Machine Learning Models

38 citations · 97 across the 16 of their papers we have counts for

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17 papers · 1 filter

cs.DB2026

HNSW with Accuracy Guarantees Using Graph Spanners

Minghao Li, Raghav Mittal, Sanjivni Rana +3

Hierarchical Navigable Small World (HNSW) graphs serve as the industry standard due to their logarithmic complexity and strong empirical performance. However, HNSW relies on greedy…

cs.DB2023★ 2 cited

A Distributed Solution for Efficient K Shortest Paths Computation over Dynamic Road Networks

Ziqiang Yu, Xiaohui Yu, Nick Koudas +2

The problem of identifying the k-shortest paths KSPs for short in a dynamic road network is essential to many location-based services. Road networks are dynamic in the sense that t…

cs.DB2022★ 1 cited

Effective Explanations for Entity Resolution Models

Tommaso Teofili, Donatella Firmani, Nick Koudas +3

Entity resolution (ER) aims at matching records that refer to the same real-world entity. Although widely studied for the last 50 years, ER still represents a challenging data mana…

cs.DB2021★ 5 cited

LES3: Learning-based Exact Set Similarity Search

Yifan Li, Xiaohui Yu, Nick Koudas

Set similarity search is a problem of central interest to a wide variety of applications such as data cleaning and web search. Past approaches on set similarity search utilize eith…

cs.DB2021★ 38 cited

Data Acquisition for Improving Machine Learning Models

Yifan Li, Xiaohui Yu, Nick Koudas

The vast advances in Machine Learning over the last ten years have been powered by the availability of suitably prepared data for training purposes. The future of ML-enabled enterp…

cs.DB2020★ 4 cited

Distributed Processing of k Shortest Path Queries over Dynamic Road Networks

Ziqiang Yu, Xiaohui Yu, Nick Koudas +4

The problem of identifying the k-shortest paths (KSPs for short) in a dynamic road network is essential to many location-based services. Road networks are dynamic in the sense that…