Applied Intelligence （APIN） - July 2019, issue 7 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： July 2019, issue 7 |
| 发布时间： |
| 卷期年份： 2019 |
| 卷期官网： https://link.springer.com/journal/10489/volumes-and-issues/49-7 |
本期论文列表
Interactive machine learning: experimental evidence for the human in the algorithmic loop
Effective use of convolutional neural networks and diverse deep supervision for better crowd counting
KnRVEA: A hybrid evolutionary algorithm based on knee points and reference vector adaptation strategies for many-objective optimization
User profile as a bridge in cross-domain recommender systems for sparsity reduction
The color quantization problem solved by swarm-based operations
A motion-aware ConvLSTM network for action recognition
Sparse semi-autoencoders to solve the vanishing information problem in multi-layered neural networks
Generalized vertex cover using chemical reaction optimization
A fuzzy clustering ensemble based on cluster clustering and iterative Fusion of base clusters
Nested probabilistic-numerical linguistic term sets in two-stage multi-attribute group decision making
A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments
Distributed representations based collaborative filtering with reviews
RAMD: registry-based anomaly malware detection using one-class ensemble classifiers
Sparse modified marginal fisher analysis for facial expression recognition
Consistent fuzzy preference relation with geometric Bonferroni mean: a fused preference method for assessing the quality of life
A reversed node ranking approach for influence maximization in social networks
On solving the SPL problem using the concept of probability flux
Optimizing restricted Boltzmann machine learning by injecting Gaussian noise to likelihood gradient approximation
A new hybrid approach for intrusion detection using machine learning methods
Level-2 node clustering coefficient-based link prediction
Hierarchical feature extraction based on discriminant analysis
Automatic crack detection for tunnel inspection using deep learning and heuristic image post-processing