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    Chapter and Conference Paper

    Extended Min-Hash Focusing on Intersection Cardinality

    Min-Hash is a reputable hashing technique which realizes set similarity search. Min-Hash assumes the Jaccard similarity $$\frac{|A\cap...

    Hisashi Koga, Satoshi Suzuki, Taiki Itabashi in Intelligent Data Engineering and Automated… (2018)

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    Chapter and Conference Paper

    Applying Combinatorial Testing to Verification-Based Fairness Testing

    Fairness testing, given a machine learning classifier, detects discriminatory data contained in it via executing test cases. In this paper, we propose a new approach to fairness testing named Vbt-Ct, which applie...

    Takashi Kitamura, Zhenjiang Zhao, Takahisa Toda in Search-Based Software Engineering (2022)

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    Chapter and Conference Paper

    Efficient Fairness Testing Through Hash-Based Sampling

    There is a growing concern on algorithm fairness, according to wider adoption of machine learning techniques in our daily life. Testing of individual fairness is an approach to algorithm fairness concern. Veri...

    Zhenjiang Zhao, Takahisa Toda, Takashi Kitamura in Search-Based Software Engineering (2022)

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    Chapter and Conference Paper

    ZDD-Based Algorithmic Framework for Solving Shortest Reconfiguration Problems

    This paper proposes an algorithmic framework for solving various combinatorial reconfiguration problems by using zero-suppressed binary decision diagrams (ZDDs), a data structure for representing families of s...

    Takehiro Ito, Jun Kawahara, Yu Nakahata in Integration of Constraint Programming, Art… (2023)