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