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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