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An improved blind Gaussian source separation approach based on generalized Jaccard similarity
Blind source separation (BSS) consists of recovering the independent source signals from their linear mixtures with unknown mixing channel. The...
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A novel and precise approach for similarity-based link prediction in diverse networks
In recent times, real-world systems have been rapidly growing in size resulting in increased complexity. Networks are an interpretation of the...
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Phenotypic similarity-based approach for variant prioritization for unsolved rare disease: a preliminary methodological report
Rare diseases (RD) have a prevalence of not more than 1/2000 persons in the European population, and are characterised by the difficulty experienced...
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A new ontology-based similarity approach for measuring caching coverages provided by mediation systems
Most mediation systems use a caching policy in order to overcome their performance challenges. One of the most widely adopted strategies is known as...
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New similarity and divergence measures-based Pythagorean fuzzy MULTIMOORA approach for decision-making problems
Pythagorean fuzzy set (PFS), an extended version of intuitionistic fuzzy set (IFS), is verified to be fastest emerging research discipline and is a...
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Detecting and classifying online health misinformation with ‘Content Similarity Measure (CSM)’ algorithm: an automated fact-checking-based approach
Information dissemination occurs through the 'word of media' in the digital world. Fraudulent and deceitful content, such as misinformation, has...
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Accelerating similarity-based model matching using dual hashing
Similarity-based model matching is the cornerstone of model versioning. It pairs model elements based on a distance metric (e.g., edit distance)....
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The Dataset-Similarity-Based Approach to Select Datasets for Evaluation in Similarity Retrieval
Most papers on similarity retrieval present experiments executed on an assortion of complex datasets. However, no work focuses on analyzing the... -
Vision-based image similarity measurement for image search similarity
In various applications across different platforms, image similarity features such as image searching and similar image recommendations are widely...
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BERT-Based Similarity Measures Oriented Approach for Style Change Detection
Style change detection is the task of identifying the writing style changes in a text. In general, the documents contain paragraphs of text and each... -
Image interpolation with spiking neural network based pixel similarity
Image interpolation is an important topic in the field of image processing. It is defined as the process of transforming low-resolution images into...
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GPU-based similarity metrics computation and machine learning approaches for string similarity evaluation in large datasets
The digital era brings up on one hand massive amounts of available data and on the other hand the need of parallel computing architectures for...
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A hybrid similarity measure-based clustering approach for mixed attribute data
In mixed attribute clustering, the similarity measure superposition is skewed due to the difference of measuring different attribute types. In this...
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A Deep Learning Approach for Painting Retrieval Based on Genre Similarity
As digitized paintings continue to grow in popularity and become more prevalent on online collection platforms, it becomes necessary to develop new... -
Learning hyperparameter predictors for similarity-based multidisciplinary topology optimization
Topology optimization (TO) plays a significant role in industry by providing engineers with optimal material distributions based exclusively on the...
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An Improved Fusion-Based Semantic Similarity Measure for Effective Collaborative Filtering Recommendations
Semantic-enhanced recommendation systems are promising approaches to overcome the sparsity and cold-start problems, which are hard to handle using...
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A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity
Partitioning multi-view data is a recent challenge in clustering methods, which traditionally consider single-view data. In clustering techniques,...
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A constraints-based approach using ranking-gradient-similarity multi-block matching algorithm
Many works have been done in stereo vision due to its critical importance to the different uses and various areas of computer vision. Recently, the...
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A novel target item-based similarity function in privacy-preserving collaborative filtering
Memory-based collaborative filtering schemes are among the most effective recommendation technologies in terms of prediction quality, despite...
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Ontology-Based Similarity Computation of Two Sentences Using Word-Net Database
Sentence similarity is used in various fields, such as the mining of text, information retrieval from the web, and dialogue-based system. This...