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Knowledge Based Systems （KBS） - Volume 213 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 213
发布时间： 15 February 2021
卷期年份： 2021
卷期官网： https://www.sciencedirect.com/journal/knowledge-based-systems/vol/213/suppl/C
本期论文列表
Editorial Board

Continual learning classification method with constant-sized memory cells based on the artificial immune system

Self-paced learning enhanced neural matrix factorization for noise-aware recommendation

Dynamic evidential clustering algorithm

Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structural information

Multi-goal multi-agent learning for task-oriented dialogue with bidirectional teacher–student learning

A hybrid deep learning architecture for opinion-oriented multi-document summarization based on multi-feature fusion

Network motifs: A key variable in the equation of dynamic flow between macro and micro layers in Complex Networks

Cross-domain recommendation with user personality

Predict high-frequency trading marker via manifold learning

Damped sliding based utility oriented pattern mining over stream data

A Trustworthy Human–Machine framework for collective decision making in Food–Energy–Water management: The role of trust sensitivity

Optimization of integrated fuzzy decision tree and regression models for selection of oil spill response method in the Arctic

Learning a deep network with cross-hierarchy aggregation for crowd counting

A bi-objective optimization method to produce a near-optimal number of classifiers and increase diversity in Bagging

Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification

Rolling bearing fault diagnosis using optimal ensemble deep transfer network

Influence of community structure on misinformation containment in online social networks

Top-k star queries on knowledge graphs through semantic-aware bounding match scores

An adaptive deep learning method for item recommendation system

Multi independent latent component extension of naive Bayes classifier

MEdit4CEP-SP: A model-driven solution to improve decision-making through user-friendly management and real-time processing of heterogeneous data streams

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

Structural residual learning for single image rain removal

Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence

A deep reinforcement learning based long-term recommender system

Building energy consumption models based on smartphone user’s usage patterns

Federated learning for machinery fault diagnosis with dynamic validation and self-supervision

Classifier chains for positive unlabelled multi-label learning

MapReduce based parallel attribute reduction in Incomplete Decision Systems

A new crude oil price forecasting model based on variational mode decomposition

Photometric transfer for direct visual odometry

A semi-decentralized feudal multi-agent learned-goal algorithm for multi-intersection traffic signal control

A novel progressively undersampling method based on the density peaks sequence for imbalanced data

Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems

A bioinformatic variant fruit fly optimizer for tackling optimization problems

DGC: Dynamic group behavior modeling that utilizes context information for group recommendation

Bidirectional loss function for Label Enhancement and distribution learning

GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game

TAU: Transferable Attention U-Net for optic disc and cup segmentation

Efficient diversified influence maximization with adaptive policies

An improved approach for estimating social POI boundaries with textual attributes on social media

Kernel-attended residual network for single image super-resolution

Robust hybrid deep learning models for Alzheimer’s progression detection

Towards multi-scale deep features learning with correlation metric for person re-identification

Automatic construction of domain-specific sentiment lexicon for unsupervised domain adaptation and sentiment classification

Neural graph personalized ranking for Top-N Recommendation

Comparative study on the time series forecasting of web traffic based on statistical model and Generative Adversarial model

Competitive and complementary influence maximization in social network: A follower’s perspective

CoRelatE: Learning the correlation in multi-fold relations for knowledge graph embedding

Prior-knowledge and attention based meta-learning for few-shot learning

A deep learning based image enhancement approach for autonomous driving at night