Results 31 to 40 of about 341,298 (275)
Semantic similarity in the biomedical domain: an evaluation across knowledge sources
Background Semantic similarity measures estimate the similarity between concepts, and play an important role in many text processing tasks. Approaches to semantic similarity in the biomedical domain can be roughly divided into knowledge based and ...
Garla Vijay N, Brandt Cynthia
doaj +1 more source
To accurately and formally represent the historical trajectory and present the current situation of land use/land cover (LULC), numerous types of classification standards for LULC have been developed by different nations, institutes, organizations, etc.;
Xiran Zhou, Xiao Xie, Yong Xue, Bing Xue
doaj +1 more source
Hierarchy-based Image Embeddings for Semantic Image Retrieval
Deep neural networks trained for classification have been found to learn powerful image representations, which are also often used for other tasks such as comparing images w.r.t. their visual similarity. However, visual similarity does not imply semantic
Barz, Björn, Denzler, Joachim
core +1 more source
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
With the rapid growth of web images, hashing has received increasing interests in large scale image retrieval. Research efforts have been devoted to learning compact binary codes that preserve semantic similarity based on labels.
Huang, Yongzhen +3 more
core +1 more source
Synonym similarity judgments based on semantic distance calculation play a vital role in supporting applications in the field of Natural Language Processing (NLP).
Siping Zeng +4 more
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Revealing and avoiding bias in semantic similarity scores for protein pairs
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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Using Graph Embedding Techniques in Process-Oriented Case-Based Reasoning
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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Information Retrieval by Semantic Similarity
Semantic Similarity relates to computing the similarity between conceptually similar but not necessarily lexically similar terms. Typically, semantic similarity is computed by mapping terms to an ontology and by examining their relationships in that ontology. We investigate approaches to computing the semantic similarity between natural language terms (
Πετρακης Ευριπιδης(http://users.isc.tuc.gr/~epetrakis) +6 more
openaire +2 more sources
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Attention-Based Overall Enhance Network for Chinese Semantic Textual Similarity Measure
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
doaj +1 more source

