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Knowledge Based Systems （KBS） - Volume 194 论文列表

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卷期号： Volume 194
发布时间： 22 April 2020
卷期年份： 2020
卷期官网： https://www.sciencedirect.com/journal/knowledge-based-systems/vol/194/suppl/C
本期论文列表
Editorial Board

Solving dynamic multi-objective problems with an evolutionary multi-directional search approach

Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization

Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network

Graph-regularized least squares regression for multi-view subspace clustering

A comprehensive exploration of semantic relation extraction via pre-trained CNNs

Zero-shot learning by mutual information estimation and maximization

Rule-based granular classification: A hypersphere information granule-based method

Learning hierarchical concepts based on higher-order fuzzy semantic cell models through the feed-upward mechanism and the self-organizing strategy

Construction and exploitation of an historical knowledge graph to deal with the evolution of ontologies

Obtaining accurate estimated action values in categorical distributional reinforcement learning

Constrained bilinear factorization multi-view subspace clustering

Incremental feature selection for dynamic hybrid data using neighborhood rough set

A region division based decomposition approach for evolutionary many-objective optimization

Batch allocation for decomposition-based complex task crowdsourcing e-markets in social networks

Learning target-focusing convolutional regression model for visual object tracking

Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem

A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning

Machine learning explainability via microaggregation and shallow decision trees

GEV-NN: A deep neural network architecture for class imbalance problem in binary classification

A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop

Semantics of soft sets and three-way decision with soft sets

An attention-guided and prior-embedded approach with multi-task learning for shadow detection

Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification

DGI: Recognition of Textual Entailment via dynamic gate Matching

A topic-sensitive trust evaluation approach for users in online communities

Heterogeneous graph neural networks for noisy few-shot relation classification

Knowledge of words: An interpretable approach for personality recognition from social media

Kernel compositional embedding and its application in linguistic structured data classification

Visual object tracking with adaptive structural convolutional network

Three-way conflict analysis: A unification of models based on rough sets and formal concept analysis

Probabilistic quantum clustering

Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks

Collaborative learning based on centroid-distance-vector for wearable devices

An improved emperor penguin optimization based multilevel thresholding for color image segmentation

SACPC: A framework based on probabilistic linguistic terms for short text sentiment analysis

PGNet: A Part-based Generative Network for 3D object reconstruction

Graph convolutional networks with multi-level coarsening for graph classification

Finding influential nodes in social networks based on neighborhood correlation coefficient

Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints

Attention deep neural network for lane marking detection

Evolutionary and adaptive inheritance enhanced Grey Wolf Optimization algorithm for binary domains

Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance

Texture synthesis quality assessment using perceptual texture similarity

Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model

CNN tracking based on data augmentation

A review of deep learning with special emphasis on architectures, applications and recent trends

Interlayer link prediction in multiplex social networks: An iterative degree penalty algorithm

RuleKit: A comprehensive suite for rule-based learning