Improving ranking-based question answering with weak supervision for low-resource Qur’anic texts
Sign Up to like & getrecommendations! Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-024-10964-3
Abstract: This work tackles the challenge of ranking-based machine reading comprehension (MRC), where a question answering (QA) system generates a ranked list of relevant answers for each question instead of simply extracting a single answer. We… read more here.
Keywords: ranking based; resource; weak supervision; question answering ... See more keywords
Node ranking based on graph curvature and PageRank
Sign Up to like & getrecommendations! Published in 2024 at "Chinese Physics B"
DOI: 10.1088/1674-1056/ad9a9b
Abstract: Identifying key nodes in complex networks is crucial for understanding and controlling their dynamics. Traditional centrality measures often fall short in capturing the multifaceted roles of nodes within these networks. The PageRank algorithm, widely recognized… read more here.
Keywords: curvature pagerank; based graph; ranking based; node ranking ... See more keywords
On the Practicality of Local Ranking-Based Cancelable Iris Recognition
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DOI: 10.1109/access.2021.3089078
Abstract: Practical cancelable biometrics (CB) schemes should satisfy the requirements of revocability, non-invertibility, and non-linkability without deteriorating the matching accuracy of the underlying biometric recognition system. In order to bridge the gap between theory and practice,… read more here.
Keywords: accuracy; local ranking; ranking based; attack ... See more keywords
Collaborative Filtering With Ranking-Based Priors on Unknown Ratings
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DOI: 10.1109/mis.2020.3000012
Abstract: Advanced collaborative filtering methods based on explicit feedback assume that unknown ratings are missing not at random. The state-of-the-art algorithm hypothesizes that unknown items are weakly rated and sets an explicit prior to unknown ratings.… read more here.
Keywords: ranking based; unknown items; filtering ranking; collaborative filtering ... See more keywords
Ranking-Based Locality Sensitive Hashing-Enabled Cancelable Biometrics: Index-of-Max Hashing
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2017.2753172
Abstract: In this paper, we propose a ranking-based locality sensitive hashing inspired two-factor cancelable biometrics, dubbed “Index-of-Max” (IoM) hashing for biometric template protection. With externally generated random parameters, IoM hashing transforms a real-valued biometric feature vector… read more here.
Keywords: ranking based; index max; biometrics; iom hashing ... See more keywords
Ranking-Based Implicit Regularization for One-Class Collaborative Filtering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3069057
Abstract: One-class collaborative filtering (OCCF) problems are ubiquitous in real-world recommendation systems, such as news recommendation, but suffer from data sparsity and lack of negative items. To address the challenge, the state-of-the-art algorithm assigns uninteracted items… read more here.
Keywords: uninteracted items; one class; collaborative filtering; based implicit ... See more keywords
inFRank: a ranking-based identification of influential genes in biological networks
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DOI: 10.18632/oncotarget.11878
Abstract: Capturing the predominant driver genes is critical in the analysis of high-throughput experimental data; however, existing methods scarcely include the unique characters of biological networks. Herein we introduced a ranking-based computational framework (inFRank) to rank… read more here.
Keywords: ranking based; biological networks; identification influential; infrank ranking ... See more keywords