Results 51 to 60 of about 1,322 (154)
IEEE AccessIn the realm of higher education, accurately assessing and ranking the quality of educational offerings is crucial. The paper introduces “Education Quality Ranker,” an innovative framework designed to rank colleges and universities on an ...
Yunhua Chen
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Enhanced Search Engine Using Proposed Framework and Ranking Algorithm Based on Semantic Relations
IEEE Access, 2019 Today, most users need search engines to facilitate search and information retrieval processes. Unfortunately, traditional search engines have a significant challenge that they should retrieve high-precision results for a specific unclear query at a ...
M. M. El-Gayar +3 more
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Top influencers can be identified universally by combining classical centralities
Scientific Reports, 2020 Information flow, opinion, and epidemics spread over structured networks. When using node centrality indicators to predict which nodes will be among the top influencers or superspreaders, no single centrality is a consistently good ranker across networks.
Doina Bucur
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BMC Musculoskeletal Disorders, 2020 Background Proximal femoral fractures are a major socioeconomic burden and they occur mainly in geriatric patients. High mortality and complication rates are reported.
Maic Werner +6 more
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In-Silico Approach of Mole Crab (Emerita sp.) Peptides 3 Produced by Alcalase Hydrolysis
SqualenOne type of mole crab in Indonesia is Emerita sp., which has a fatty acid content of 3.57% and crude protein content of 32.42% (100 mg). The use of mole crabs is currently limited to food sources; therefore, it is necessary to conduct research to ...
Romadhon Romadhon +5 more
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Academic Rankings — Where Are They Heading?
Вопросы образования, 2017 The global ranking system is in a state of violent transformation. We can already see the emerging contours of a new ranking system with the four distinguished elements: regional systems, customer-centered systems, multi-league systems, discipline-based ...
Waldemar Siwinski
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Visual Semantic Re-ranker for Text Spotting [PDF]
, 2019 Many current state-of-the-art methods for text recognition are based on purely local information and ignore the semantic correlation between text and its surrounding visual context. In this paper, we propose a post-processing approach to improve the accuracy of text spotting by using the semantic relation between the text and the scene.
Sabir, Ahmed +2 more
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Evaluating the Explainability of Neural Rankers
Information retrieval models have witnessed a paradigm shift from unsupervised statistical approaches to feature-based supervised approaches to completely data-driven ones that make use of the pre-training of large language models. While the increasing complexity of the search models have been able to demonstrate improvements in effectiveness (measured
Saran Pandian +2 more
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DiaRAG: intelligent question-answering system for the diabetes domain
工程科学学报To address the dual requirements of efficiency and professionalism in diabetes-related intelligent question-answering, this study presents DiaRAG, an innovative system that synergistically integrates knowledge graphs with retrieval-augmented generation ...
Tao YANG +3 more
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Frontiers in Neuroscience, 2016 Although the genetic basis of Tourette Syndrome (TS) remains unclear, several candidate genes have been implicated. Using a set of 382 TS individuals of European ancestry we investigated four candidate genes for TS (HDC, SLITRK1, BTBD9 and SLC6A4) in an ...
John Alexander +28 more
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