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Information Sciences （ISCI） - Volume 589 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 589
发布时间： April 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/information-sciences/vol/589/suppl/C
本期论文列表
Editorial Board

Coopetition bunch graphs: Competition and cooperation on COVID19 research

PR-LTTE: Link travel time estimation based on path recovery from large-scale incomplete trip data

Reversible data hiding based on high fidelity prediction scheme for reducing the number of invalid modifications

A detection method of individual fare evasion behaviours on metros based on skeleton sequence and time series

Self-adapting spiking neural P systems with refractory period and propagation delay

A time-varying distance based interval-valued functional principal component analysis method – A case study of consumer price index

Top-k team synergy problem: Capturing team synergy based on C3

A novel PROMETHEE method based on GRA-DEMATEL for PLTSs and its application in selecting renewable energies

P colonies with agent division

Fairness and accuracy in horizontal federated learning

QueryNet: Querying neural networks for lightweight specialized models

Implementing local-explainability in Gradient Boosting Trees: Feature Contribution

An exponential stabilization criterion for switched delayed interval type-2 fuzzy systems under admissible edge-dependent average dwell time mechanism

Deep asymmetric hashing with dual semantic regression and class structure quantization

Hierarchical recurrent neural networks for graph generation

REBORN: Transfer learning based social network alignment

Incremental rough reduction with stable attribute group

A business context aware decision-making approach for selecting the most appropriate sentiment analysis technique in e-marketing situations

ReCom: A deep reinforcement learning approach for semi-supervised tabular data labeling

Feature space and label space selection based on Error-correcting output codes for partial label learning

A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems

A parameter-free approach to lossless summarization of fully dynamic graphs

MTGK: Multi-source cross-network node classification via transferable graph knowledge

Convolutional attention neural network over graph structures for improving the performance of aspect-level sentiment analysis

A performance tunable CPIR-based privacy protection method for location based service

Cluster output synchronization for memristive neural networks

A review of green shop scheduling problem

Optimal consensus model-free control for multi-agent systems subject to input delays and switching topologies

Multi-view support vector ordinal regression with data uncertainty

A multistage evolutionary algorithm for many-objective optimization

A ranked solution for social media fact checking using epidemic spread modeling

Optimality of regularized least squares ranking with imperfect kernels

Evolutionary game theory in a cell: A membrane computing approach

SocialLGN: Light graph convolution network for social recommendation

Solving fully fuzzy linear system: A new solution concept

Recursive elimination current algorithms and a distributed computing scheme to accelerate wrapper feature selection

SENGR: Sentiment-Enhanced Neural Graph Recommender

A cost-sensitive temporal-spatial three-way recommendation with multi-granularity decision

Robust fault hiding approach for T–S fuzzy systems with unmeasured premise variables

On computing the similarity of trapezoidal fuzzy sets using an Automated Area Method

SLC-GAN: An automated myocardial infarction detection model based on generative adversarial networks and convolutional neural networks with single-lead electrocardiogram synthesis

Revisiting group oriented secret sharing schemes

2D eπ-map for image encryption

Dynamic event-triggered model-free adaptive control for nonlinear CPSs under aperiodic DoS attacks

Event-triggered dissipative control for 2-D switched systems

Neural generative model for clustering by separating particularity and commonality

Self-regulated bi-partitioning evolution for many-objective optimization

Error-aware Markov blanket learning for causal feature selection

Towards comprehensive approaches for the rating prediction phase in memory-based collaborative filtering recommender systems