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Information Sciences （ISCI） - Volume 609 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 609
发布时间： September 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/information-sciences/vol/609/suppl/C
本期论文列表
Editorial Board

Implicit user relationships across sessions enhanced graph for session-based recommendation

Hyperbolic regression: a new regression model with applications to the binary classification problem

Three-way sampling for rapid attribute reduction

Tensor subspace clustering using consensus tensor low-rank representation

Adjustable driving force based particle swarm optimization algorithm

SPLNet: A sequence-to-one learning network with time-variant structure for regional wind speed prediction

Constrained adaptive fuzzy super-twisting control for space circumnavigation mission with input constraints and rough dynamics information

M-LDQ feature embedding and regression modeling for distribution-valued data

Two efficient local search algorithms for the vertex bisection minimization problem

A graph based approach for mining significant places in trajectory data

Opinion influence maximization problem in online social networks based on group polarization effect

Unsupervised manifold learning with polynomial mapping on symmetric positive definite matrices

Recursive least mean dual p-power solution to the generalization of evolving fuzzy system under multiple noises

Free-quasi-alternative switching signal for switched systems with unstable subsystems

Unsupervised domain adaptation via softmax-based prototype construction and adaptation

A new symbolic representation method for time series

Specific class center guided deep hashing for cross-modal retrieval

New framework for code-mapping-based reversible data hiding in JPEG images

Optimal design of a nonlinear control system based on new deterministic neural network scheduling

Improving differential evolution using a best discarded vector selection strategy

Reachable set estimation and synthesis for semi-Markov jump systems

Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem

A new shape-based clustering algorithm for time series

A behavior fusion method based on inverse reinforcement learning

ε-Constrained multiobjective differential evolution using linear population size expansion

Adaptive graph learning for semi-supervised feature selection with redundancy minimization

Labeled projective dictionary pair learning: application to handwritten numbers recognition

Semantic translation of face image with limited pixels for simulated prosthetic vision

Three-way decisions based service migration strategy in mobile edge computing

Multi-mode dynamic residual graph convolution network for traffic flow prediction

Superpixel-guided locality quaternion representation for color face hallucination

CBIM: Community-based influence maximization in multilayer networks

Transferable regularization and normalization: Towards transferable feature learning for unsupervised domain adaptation

Another estimation of Laplacian spectrum of the Kronecker product of graphs

Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection

Consensus of linear multi-agent systems by distributed event-triggered strategy with designable minimum inter-event time

Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics

Approximate inferring with confidence predicting based on uncertain knowledge graph embedding

A novel locally-constrained GAN-based ensemble to synthesize arterial spin labeling images

Fitness landscape analysis of convolutional neural network architectures for image classification

Online social network individual depression detection using a multitask heterogenous modality fusion approach

Proximal policy optimization via enhanced exploration efficiency

Intelligent ensembling of auto-ML system outputs for solving classification problems

Transportation planning for sustainable supply chain network using big data technology

Joint hyperbolic and Euclidean geometry contrastive graph neural networks

Consensus graph learning for auto-weighted multi-view projection clustering

Dwell-time-dependent memory based state feedback controller design for switched Takagi–Sugeno fuzzy nonlinear systems

Multi-view clustering with adaptive procrustes on Grassmann manifold

Centroids-guided deep multi-view K-means clustering

Toward a perceptive pretraining framework for Audio-Visual Video Parsing

Contrastive semantic similarity learning for image captioning evaluation

Saturation control for fuzzy markovian switching systems with singularly perturbation and cyber-attacks

Fast unsupervised embedding learning with anchor-based graph

Network steganography based security framework for cyber-physical systems

Region interaction and attribute embedding for zero-shot learning

A new self-paced learning method for privilege-based positive and unlabeled learning

Assessing the impact of data augmentation and a combination of CNNs on leukemia classification

A weakly-supervised graph-based joint sentiment topic model for multi-topic sentiment analysis

ML-MMAS: Self-learning ant colony optimization for multi-criteria journey planning

Label correlations variation for robust multi-label feature selection

λ-Scaled-attention: A novel fast attention mechanism for efficient modeling of protein sequences

A fast spectral clustering technique using MST based proximity graph for diversified datasets

Adaptive KNN and graph-based auto-weighted multi-view consensus spectral learning

A random approximate reduct-based ensemble learning approach and its application in software defect prediction

Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment

Outperformance of the pharmaceutical sector during the COVID-19 pandemic: Global time-varying screening rule development

Privacy-preserving knowledge transfer for intrusion detection with federated deep autoencoding gaussian mixture model

Secret inference and attacktability analysis of discrete event systems

Distributionally robust equilibrious hybrid vehicle routing problem under twofold uncertainty

Analyzing the extremization of opinions in a general framework of bounded confidence and repulsion

Combining attention with spectrum to handle missing values on time series data without imputation

An efficient approach for mining maximized erasable utility patterns

Facial age estimation using tensor based subspace learning and deep random forests

Noise tolerant drift detection method for data stream mining

Adaptive robust Adaboost-based twin support vector machine with universum data

Domain adaptive state representation alignment for reinforcement learning

Target layer regularization for continual learning using Cramer-Wold distance

Visualizing deep networks using segmentation recognition and interpretation algorithm

A GAN-based hybrid sampling method for imbalanced customer classification

Multistability analysis of octonion-valued neural networks with time-varying delays

Finite/fixed-time bipartite consensus for networks of diffusion PDEs via event-triggered control

Digital image steganography: A literature survey

Radial basis network simulation for noisy multiobjective optimization considering evolution control

Deep learning based hashtag recommendation system for multimedia data

Decentralized sampled-data H∞ fuzzy filtering with exponential time-varying gains for nonlinear interconnected systems

Improving the quality of generative models through Smirnov transformation

Elite-ordinary synergistic particle swarm optimization

Stabilization and synchronization control for complex dynamical networks with dynamic link subsystem

A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization

Sampled-data-based consensus of multi-agent systems with multiplicative noise and time-delays

An efficient global optimization algorithm for expensive constrained black-box problems by reducing candidate infilling region

Causal networks reveal the response of Chinese stocks to modern crises

Conditional investment strategy in evolutionary trust games with repeated group interactions

The random walk-based gravity model to identify influential nodes in complex networks

Opposition-mutual learning differential evolution with hybrid mutation strategy for large-scale economic load dispatch problems with valve-point effects and multi-fuel options