Information Sciences （ISCI） - Volume 559 论文列表
| 点击这里查看 Information Sciences 的JCR分区、影响因子等信息 |
| 卷期号： Volume 559 |
| 发布时间： June 2021 |
| 卷期年份： 2021 |
| 卷期官网： https://www.sciencedirect.com/journal/information-sciences/vol/559/suppl/C |
本期论文列表
Editorial Board
A note on the Cayley-Menger determinant and the Molecular Distance Geometry Problem
DRBFT: Delegated randomization Byzantine fault tolerance consensus protocol for blockchains
CTSVM: A robust twin support vector machine with correntropy-induced loss function for binary classification problems
Cross adversarial consistency self-prediction learning for unsupervised domain adaptation person re-identification
Business location planning based on a novel geo-social influence diffusion model
Three-way decisions based multi-attribute decision making with probabilistic dominance relations
Time-weighted Fuzzy Support Vector Machines for classification in changing environments
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data
A new deep auto-encoder using multiscale reconstruction errors and weight update correlation
Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods
Output event-triggered tracking synchronization of heterogeneous systems on directed digraph via model-free reinforcement learning
A novel approach of two-stage three-way co-opetition decision for crowdsourcing task allocation scheme
CLAVER: An integrated framework of convolutional layer, bidirectional LSTM with attention mechanism based scholarly venue recommendation
Information theory and player archetype choice in Hearthstone
Preview-based leader-following consensus control of distributed multi-agent systems
Stabilization of permanent magnet synchronous generator-based wind turbine system via fuzzy-based sampled-data control approach
Non-singleton fuzzification made simpler
An erratum to “Extended Karush-Kuhn-Tucker Condition for Constrained Interval Optimization Problems and its Application in Support Vector Machines”
An approach based on timed Petri nets and tree encoding to implement search algorithms for a class of scheduling problems