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An empirical review of the different variants of the probabilistic affinity index as applied to scientific collaboration
Responsible indicators are crucial for research assessment and monitoring. Transparency and accuracy of indicators are required to make research...
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Consensus Affinity Graph Learning via Structure Graph Fusion and Block Diagonal Representation for Multiview Clustering
Learning a robust affinity graph is fundamental to graph-based clustering methods. However, some existing affinity graph learning methods have...
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Gabor face clustering using affinity propagation and structural similarity index
Clustering is an important technique in data mining. It separates data points into different groups or clusters in such a way that objects in the...
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Detecting log anomaly using subword attention encoder and probabilistic feature selection
Log anomaly is a manifestation of a software system error or security threat. Detecting such unusual behaviours across logs in real-time is the...
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Improving bounds on probabilistic affine tests to estimate the nonlinearity of Boolean functions
In this paper we want to estimate the nonlinearity of Boolean functions, by probabilistic methods, when it is computationally very expensive, or...
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Edge artificial intelligence-based affinity task offloading under resource adjustment in a 5G network
Artificial intelligence, which can provide cognitive services in mobile edge cloud computing to improve the user’s quality of experience, has...
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Unsupervised Learning: A Probabilistic View
The previous two chapters have introduced algorithms for supervised learning in which the dependent variable has a significant influence on the...
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A novel method of spectral clustering in attributed networks by constructing parameter-free affinity matrix
The most basic and significant issue in complex network analysis is community detection, which is a branch of machine learning. Most current...
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A random finite set based joint probabilistic data association filter with non-homogeneous Markov chain
We demonstrate a heuristic approach for optimizing the posterior density of the data association tracking algorithm via the random finite set (RFS)...
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Clustering Validation in the Context of Hierarchical Cluster Analysis: An Empirical Study
The evaluation of clustering structures is a crucial step in cluster analysis. This study presents the main results of the hierarchical cluster...
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Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis
The packing of genomic DNA from double helix into highly-order hierarchical assemblies has a great impact on chromosome flexibility, dynamics and...
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Persistent animal identification leveraging non-visual markers
Our objective is to locate and provide a unique identifier for each mouse in a cluttered home-cage environment through time, as a precursor to...
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Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities
A successful peer review process requires that qualified and interested reviewers are assigned to each paper. Most automated reviewer assignment...
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Scientific collaboration of post-Soviet countries: the effects of different network normalizations
The goal of the paper is to identify groups/clusters of countries with similar scientific collaboration “profiles” inside the group and to other...
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Metaheuristic-based time series clustering for anomaly detection in manufacturing industry
Nowadays time series clustering is of great importance in manufacturing industries. Meanwhile, it is considerably challenging to achieve explainable...
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Measuring the relative intensity of collaboration within a network
In research fields like informetrics or patent research, international comparisons are part of their core business. One class of measures used in...
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Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection
Code smells, also known as anti-patterns, are poor design or implementation choices that hinder program comprehensibility and maintainability. While...
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Dependency-Based Link Prediction for Learning Microsegmentation Policy
This paper describes a novel approach for predicting future links in cyber networks and applying the predictions to learn optimal microsegmentation...
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TERMS: textual emotion recognition in multidimensional space
Microblogs generate a vast amount of data in which users express their emotions regarding almost all aspects of everyday life. Capturing affective...
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Online static point cloud map construction based on 3D point clouds and 2D images
With the development of science and technology, robots have been applied to many fields to free people’s hands. Environment perception and map...
