Knowledge Based Systems（KBS ）的VOLUME 133论文列表

卷期号： Volume 133

发布时间： 1 October 2017

卷期年份： 2017

卷期官网： https://www.sciencedirect.com/journal/knowledge-based-systems/vol/133/suppl/C

Editorial Board

Univariate and Multivariate Time Series Manifold Learning

Hierarchical task network planning with resources and temporal constraints

Long range dependence in texts: A method for quantifying coherence of text

Leveraging question target word features through semantic relation expansion for answer type classification

Granular Fuzzy Possibilistic C-Means Clustering approach to DNA microarray problem

Predicting information diffusion probabilities in social networks: A Bayesian networks based approach

Multi-lingual and Cross-lingual timeline extraction

Multi-expert performance evaluation of healthcare institutions using an integrated intuitionistic fuzzy AHP&DEA methodology

Heuristically repopulated Bayesian ant colony optimization for treating missing values in large databases

Learning fuzzy semantic cell by principles of maximum coverage, maximum specificity, and maximum fuzzy entropy of vague concept

Actionable strategies in three-way decisions

Possibilistic activity recognition with uncertain observations to support medication adherence in an assisted ambient living setting

Fit evaluation of virtual garment try-on by learning from digital pressure data

Mining semantic association rules from RDF data

Private classification with limited labeled data

Adaptive density peak clustering based on K-nearest neighbors with aggregating strategy

Robust classification of biological samples in atomic force microscopy images via multiple filtering cooperation

Interpretable interval type-2 fuzzy predicates for data clustering: A new automatic generation method based on self-organizing maps

Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016

Bidirectional possibilistic dominance in uncertain decision making

Cooperative two-engine multi-objective bee foraging algorithm with reinforcement learning

An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood