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Similarity measures for type-2 fuzzy sets and application in MCDM
Type-2 fuzzy set theory is extensively used for decision making, pattern recognition and word computing due to exceptional expression of uncertain...
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Text mining: identification of similarity of text documents using hybrid similarity model
The volume of data that are accessible on the internet has increased dramatically. This growth of data will only increase exponentially in the future...
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Similarity Forest for Time Series Classification
The idea of similarity forest comes from Sathe and Aggarwal (Similarity forests, pp 395–403, 2017, [1]) and is derived from random forest. Random...
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Clique Counts for Network Similarity
Counts of small subgraphs, or graphlet counts, are widely applicable to measure graph similarity. Computing graphlet counts can be computationally...
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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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A distributed framework for large-scale semantic trajectory similarity join
The similarity join is a common yet expensive operator for large-scale semantic trajectories analytics. In this paper, we propose
DFST , an efficient...
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Data-Driven Similarity Measures for Matrimonial Application
Marriage is a life-long commitment that completes our life. However, the marriage rate in Malaysia continues to decline due to the difficulties in...
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An active adaptation strategy for streaming time series classification based on elastic similarity measures
In streaming time series classification problems, the goal is to predict the label associated to the most recently received observations over the...
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Knowledge-Based Multimodal Music Similarity
Music similarity is an essential aspect of music retrieval, recommendation systems, and music analysis. Moreover, similarity is of vital interest for...
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TS-MIoU: A Time Series Similarity Metric Without Map**
Quantifying the similarity or distance between time series, processes, signals, and trajectories is a task-specific problem and remains a challenge...
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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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A hybrid SUGWO optimization for partial face recognition with new similarity index
This paper introduces a Partial Face Recognition (PFR) method with the benefits of optimization logic using an optimized feature matching aspect....
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ProxMetrics: modular proxemic similarity toolkit to generate domain-adaptable indicators from social media
In this paper, we introduce ProxMetrics , a novel toolkit designed to evaluate similarity among social media entities through proxemic dimensions....
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Label distribution similarity-based noise correction for crowdsourcing
In crowdsourcing scenarios, we can obtain each instance’s multiple noisy labels from different crowd workers and then infer its integrated label via...
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A case weighted similarity deep measurement method based on a self-attention Siamese neural network
To improve the accuracy of similarity measures in case-based reasoning, in this paper, we propose a deep metric learning method based on a...
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A robust two-step algorithm for community detection based on node similarity
The rapid development of the internet and social network platforms has given rise to a new field of research, social network analysis. This field of...
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Query based biomedical document retrieval for clinical information access with the semantic similarity
The amount of exploration done for the available medical literature is quite less and at the same time, there is less awareness of information mining...
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ESRL: efficient similarity representation learning for deepfake detection
For Deepfake detection, many existing works use the cross-entropy loss to enforce the classifier network to learn the map** relationship from the...
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The Supervised Semantic Similarity Toolkit
Knowledge graph-based semantic similarity measures have been used in several applications. Although knowledge graphs typically describe entities...
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Deep similarity segmentation model for sensor-based activity recognition
Signal segmentation is a critical stage in activity recognition. Most existing studies adopted the fixed-size sliding window method for this stage....
