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Applied Intelligence （APIN） - June 2020, issue 6 论文列表

点击这里查看 Applied Intelligence 的JCR分区、影响因子等信息
卷期号： June 2020, issue 6
发布时间：
卷期年份： 2020
卷期官网： https://link.springer.com/journal/10489/volumes-and-issues/50-6
本期论文列表
Editor’s Note: Applied Intelligence and COVID-19 Research

Online transferable representation with heterogeneous sources

Improved image representation and sparse representation for image classification

Hierarchical linear and nonlinear adaptive learning model for system identification and prediction

Transferring the semantic constraints in human manipulation behaviors to robots

Customized ranking for products through online reviews: a method incorporating prospect theory with an improved VIKOR

Rule-based aggregation driven by similar images for visual saliency detection

DC programming and DCA for parametric-margin ν-support vector machine

A hybrid quantum feature selection algorithm using a quantum inspired graph theoretic approach

Reduced-order observer-based robust leader-following control of heterogeneous discrete-time multi-agent systems with system uncertainties

Hidden data states-based complex terminology extraction from textual web data model

NetNPG: Nonoverlapping pattern matching with general gap constraints

Dynamic hesitant fuzzy Bayesian network and its application in the optimal investment port decision making problem of “twenty-first century maritime silk road”

Multi-layer manifold learning with feature selection

“Solving discounted {0-1} knapsack problems by a discrete hybrid teaching-learning-based optimization algorithm”

Efficient meta-heuristic approaches in solving minimal exposure path problem for heterogeneous wireless multimedia sensor networks in internet of things

End-to-end multitask Siamese network with residual hierarchical attention for real-time object tracking

Modified dynamic fuzzy c-means clustering algorithm – Application in dynamic customer segmentation

Clustering association rules to build beliefs and discover unexpected patterns

Explicit feedback meet with implicit feedback in GPMF: a generalized probabilistic matrix factorization model for recommendation

An intuitionistic linguistic MCDM model based on probabilistic exceedance method and evidence theory