0950-7051

Knowledge Based Systems （KBS） - Volume 212 论文列表

点击这里查看 Knowledge Based Systems 的JCR分区、影响因子等信息
卷期号： Volume 212
发布时间： 5 January 2021
卷期年份： 2021
卷期官网： https://www.sciencedirect.com/journal/knowledge-based-systems/vol/212/suppl/C
本期论文列表
Editorial Board

SmartPrognosis: Automatic ensemble classification for quantitative EEG analysis in patients resuscitated from cardiac arrest

Multiple adversarial networks for unsupervised domain adaptation

A classification framework for multivariate compositional data with Dirichlet feature embedding

Service skill improvement for home robots: Autonomous generation of action sequence based on reinforcement learning

A discrete method for the initialization of semi-discrete optimal transport problem

Variance reduced optimization with implicit gradient transport

Effective and unburdensome forecast of highway traffic flow with adaptive computing

Multi-class imbalanced big data classification on Spark

On the class overlap problem in imbalanced data classification

Moth Swarm Algorithm for Image Contrast Enhancement

A dynamic sampling algorithm based on learning automata for stochastic trust networks

Hierarchical Independence Thresholding for learning Bayesian network classifiers

Decomposing word embedding with the capsule network

A novel Whale Optimization Algorithm integrated with Nelder–Mead simplex for multi-objective optimization problems

Unsupervised domain adaptation for person re-identification with iterative soft clustering

AutoML: A survey of the state-of-the-art

Partial multi-label learning with mutual teaching

A multi-objective linear threshold influence spread model solved by swarm intelligence-based methods

Incomplete multi-view clustering with partially mapped instances and clusters

Multimodal deep fusion for image question answering

Multi-label feature selection with constraint regression and adaptive spectral graph

FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection

End-to-end LDA-based automatic weak signal detection in web news

Leveraging unstructured call log data for customer churn prediction

Deep attributed network representation learning of complex coupling and interaction

Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance

A sampling method based on distributed learning automata for solving stochastic shortest path problem

A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism

Weighted automata sequence kernel: Unification and generalization

A real-time explainable traffic collision inference framework based on probabilistic graph theory

NeuroTIS: Enhancing the prediction of translation initiation sites in mRNA sequences via a hybrid dependency network and deep learning framework

A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement

Aspect-level sentiment analysis based on gradual machine learning

Imputation techniques for the reconstruction of missing interconnected data from higher Educational Institutions

Multi-generator GAN learning disconnected manifolds with mutual information

A hierarchical fusion framework to integrate homogeneous and heterogeneous classifiers for medical decision-making

A novel sequential three-way decision model with autonomous error correction

Backtracking search algorithm with specular reflection learning for global optimization

ASRNN: A recurrent neural network with an attention model for sequence labeling

DeLTa: Deep local pattern representation for time-series clustering and classification using visual perception

A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study

Dual attention-based method for occluded person re-identification

High-accuracy health prediction of sensor systems using improved relevant vector-machine ensemble regression

Hybrid Heat Transfer Search and Passing Vehicle Search optimizer for multi-objective structural optimization

CaSe4SR: Using category sequence graph to augment session-based recommendation

A consensus model for hesitant fuzzy linguistic group decision-making in the framework of Dempster–Shafer evidence theory

Knowledge graph embedding by translating in time domain space for link prediction

Exploiting non-taxonomic relations for measuring semantic similarity and relatedness in WordNet

LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions

Population-based gradient descent weight learning for graph coloring problems

A fast parallel attribute reduction algorithm using Apache Spark

Incremental attribute reduction approaches for ordered data with time-evolving objects

FSS-GCN: A graph convolutional networks with fusion of semantic and structure for emotion cause analysis

SNF–CVAE: Computational method to predict drug–disease interactions using similarity network fusion and collective variational autoencoder

Hierarchical regression framework for multi-fidelity modeling

Understanding the game behavior with sentiment and unequal status in cooperation network

An end-to-end atrial fibrillation detection by a novel residual-based temporal attention convolutional neural network with exponential nonlinearity loss

Data-driven decision model based on dynamical classifier selection

Accurate detection of sleep apnea with long short-term memory network based on RR interval signals

Citywide traffic speed prediction: A geometric deep learning approach

Approximate high utility itemset mining in noisy environments

Output-based transfer learning in genetic programming for document classification

A modified teaching–learning-based optimization algorithm for solving optimization problem