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A dynamic algorithm based on cohesive entropy for influence maximization in social networks

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 169 ()

The problem of influence maximization in social networks has been widely investigated, but most previous studies have usually ignored the dynamic natu......

Attention-aware metapath-based network embedding for HIN based recommendation

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 174 ()

Heterogeneous information network (HIN) attracts increasing attention from the communities of recommender systems. HIN based recommendation methods ca......

A combinatorial evolutionary algorithm for unrelated parallel machine scheduling problem with sequence and machine-dependent setup times, limited worker resources and learning effect

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 175 ()

The existing papers on unrelated parallel machine scheduling problem with sequence and machine-dependent setup times (UPMSP-SMDST) ignore the worker r......

Highly shared Convolutional Neural Networks

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 175 ()

In order to deploy deep Convolutional Neural Networks (CNNs) on the mobile devices, many mobile CNNs are introduced. Currently, some online applicatio......

Multi-criteria recommender system based on social relationships and criteria preferences

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 176 ()

Multi-criteria recommender systems have garnered considerable interests from researchers and practitioners. In this paper, we study the optimization o......

Frog-GNN: Multi-perspective aggregation based graph neural network for few-shot text classification

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 176 ()

Few-shot text classification aims to learn a classifier from very few labeled text instances per class. Previous fewshot research works in NLP are mai......

Utilizing 3D joints data extracted through depth camera to train classifiers for identifying suicide bomber

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 179 ()

Safety and security of humans is an important concern in every aspect. With the advancement in engineering, sciences, and technology (unfortunately) n......

A hybrid approach to classifying Wikipedia article quality flaws with feature fusion framework

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 181 ()

Article quality has always been a major concern for Wikipedia. To improve article quality, it is critical to first identify defects. Thus, flaw classi......

S-FPN: A shortcut feature pyramid network for sea cucumber detection in underwater images

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 182 ()

Convolutional neural network is a prominent innovation in computer vision but is often troubled by problems such as dark light, turbidity, blur and hi......

A bi-objective reliable path-finding algorithm for battery electric vehicle routing

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 182 ()

This paper proposes a bi-objective reliable path-finding algorithm for routing battery electric vehicles on a road network, with vehicles' energy cons......

A system for identifying an anti-counterfeiting pattern based on the statistical difference in key image regions

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 183 ()

An important aspect of identifying whether items are likely to be forged or infringe upon a copyright is the use of an anti-counterfeiting pattern bec......

An integrated contract manufacturer selection and product quality optimization methodology for the mechanical manufacturing industry

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 183 ()

Outsourcing is a crucial strategy of the mechanical manufacturing industry. When outsourcing, it is necessary for companies to carefully inspect the p......

Multi-view content-context information bottleneck for image clustering

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 183 ()

Image clustering is one of the most significant problems in computer vision and data mining. To mitigate the influence brought by appearance variation......

Learning meta-knowledge for few-shot image emotion recognition

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 168 ()

Previous studies have demonstrated that images are of great importance in attracting people's attention and motivating them to take action. Various at......

A new integrated similarity measure for enhancing instance-based credit assessment in P2P lending

期刊: EXPERT SYSTEMS WITH APPLICATIONS, 2021; 175 ()

Instance-based learning has been proved to be effective for credit assessment in Peer-to-peer (P2P) lending. A key challenge of this application is ho......

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