Knowledge Based Systems （KBS） - Volume 106 论文列表
| 点击这里查看 Knowledge Based Systems 的JCR分区、影响因子等信息 |
| 卷期号： Volume 106 |
| 发布时间： 15 August 2016 |
| 卷期年份： 2016 |
| 卷期官网： https://www.sciencedirect.com/journal/knowledge-based-systems/vol/106/suppl/C |
本期论文列表
Editorial Board
GRASP with path relinking for the single row facility layout problem
Temporal landmark graphs for solving overconstrained planning problems
Visual tracking via exemplar regression model
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
Automatic creation of scenarios for evaluating spoken dialogue systems via user-simulation
Near-synonym substitution using a discriminative vector space model
A multi-level approach using genetic algorithms in an ensemble of Least Squares Support Vector Machines
Consensus building in group decision making based on multiplicative consistency with incomplete reciprocal preference relations
A novel quadrature particle filtering based on fuzzy c-means clustering
Grounding the detection of the user’s likes and dislikes on the topic structure of human-agent interactions
Enhancing collaborative recommendation performance by combining user preference and trust-distrust propagation in social networks
Dynamic labeling scheme for XML updates
A survey of trust management systems for online social communities – Trust modeling, trust inference and attacks
A recommender system of reviewers and experts in reviewing problems
Evidential clustering of large dissimilarity data
Suggest what to tag: Recommending more precise hashtags based on users’ dynamic interests and streaming tweet content
Consensus reaching model in the complex and dynamic MAGDM problem
Learning distributed word representation with multi-contextual mixed embedding
Automatic labelling of clusters of discrete and continuous data with supervised machine learning
Human error tolerant anomaly detection based on time-periodic packet sampling
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data
Spatially-variant noise filtering in magnetic resonance imaging: A consensus-based approach