Results 41 to 50 of about 1,129,461 (196)
librairy/study-semantic-similarity: Initial Analysis
, 2017 Study of Semantic Similarity from Rhetoric-based Scientific Article ...
Carlos Badenes-Olmedo
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Semantic Similarity Calculation Method using Information Contents-based Edge Weighting [PDF]
Journal of Internet Services and Information Security, 2017 In this paper, we propose Semantic Similarity calculation measurement using INformation contents on EdGEs of ontology (SSINEGE) which is a hybrid edge- and information contents-based methodology. SSINEGE is devised to solve the limitation of the applying
Sunghwan Jeong +3 more
doaj
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
iScienceSummary: In this study, we addressed two primary challenges: firstly, the issue of domain shift, which pertains to changes in data characteristics or context that can impact model performance, and secondly, the discrepancy between semantic similarity and
Omid Reza Abbasi +2 more
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Revealing and avoiding bias in semantic similarity scores for protein pairs
BMC Bioinformatics, 2010 Background Semantic similarity scores for protein pairs are widely applied in functional genomic researches for finding functional clusters of proteins, predicting protein functions and protein-protein interactions, and for identifying putative disease ...
Zhou Chenggui +4 more
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Attention-Based Overall Enhance Network for Chinese Semantic Textual Similarity Measure
Journal of Applied Science and Engineering, 2021 Semantic text similarity(STS) measure plays an important role in the practical application of natural language processing. However, due to the complexity of Chinese semantic comprehension and the lack of currently available Chinese text similarity ...
Hao Zhang +3 more
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Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Journal of CognitionStudies on short-term memory have repeatedly demonstrated the beneficial effect of semantic similarity. Although the effect seems robust, the aspects of semantics targeted by these studies (e.g., categorical structure, associative relationship, or ...
Sho Ishiguro, Satoru Saito
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Using Graph Embedding Techniques in Process-Oriented Case-Based Reasoning
Algorithms, 2022 Similarity-based retrieval of semantic graphs is a core task of Process-Oriented Case-Based Reasoning (POCBR) with applications in real-world scenarios, e.g., in smart manufacturing.
Maximilian Hoffmann, Ralph Bergmann
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