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Knowledge Based Systems （KBS） - Volume 236 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 236
发布时间： 25 January 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/knowledge-based-systems/vol/236/suppl/C
本期论文列表
Editorial Board

Revealing the structure of prediction models through feature interaction detection

HAM-Net: Predictive Business Process Monitoring with a hierarchical attention mechanism

A decision-making model with sequential incomplete additive pairwise comparisons

A multi-view network for real-time emotion recognition in conversations

A twofold infill criterion-driven heterogeneous ensemble surrogate-assisted evolutionary algorithm for computationally expensive problems

Active deep learning on entity resolution by risk sampling

Multitask Pointer Network for multi-representational parsing

Towards achieving consistent opinion fusion in group decision making with complete distributed preference relations

Designing ECG monitoring healthcare system with federated transfer learning and explainable AI

Feature selection based on non-negative spectral feature learning and adaptive rank constraint

Privacy preservation of cloud data in business application enabled by multi-objective red deer-bird swarm algorithm

An improved symbiotic organisms search algorithm for higher dimensional optimization problems

Heterogeneous graph convolutional network with local influence

Phrase dependency relational graph attention network for Aspect-based Sentiment Analysis

Learning discriminative and representative feature with cascade GAN for generalized zero-shot learning

Analysis of dominant classes in universal adversarial perturbations

KfreqGAN: Unsupervised detection of sequence anomaly with adversarial learning and frequency domain information

PRPN: Progressive region prediction network for natural scene text detection

EvoImputer: An evolutionary approach for Missing Data Imputation and feature selection in the context of supervised learning

Low-rank supervised and semi-supervised multi-metric learning for classification

Parallel learner: A practical deep reinforcement learning framework for multi-scenario games

Multi-objective feature selection based on quasi-oppositional based Jaya algorithm for microarray data

Multiple finite-time synchronization of delayed inertial neural networks via a unified control scheme

SPAN: A self-paced association augmentation and node embedding-based model for software bug classification and assignment

A multi-modal personality prediction system

Reasoning over multiplex heterogeneous graph for Target-oriented Opinion Words Extraction

Debiased learning and forecasting of first derivative

Smart Robust Feature Selection (SoFt) for imbalanced and heterogeneous data

AAGCN: Adjacency-aware Graph Convolutional Network for person re-identification

Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

Interpretability and accuracy trade-off in the modeling of belief rule-based systems

Evolution of trust in the sharing economy with fixed provider and consumer roles under different host network structures

Fusing deep and handcrafted features for intelligent recognition of uptake patterns on thyroid scintigraphy

A large-scale hyperspectral dataset for flower classification

Graph Fusion Network for Text Classification

Combine labeled and unlabeled data for immune detector training with label propagation

The optimal treatment alternatives selection of integrated TCM and Western medicine based on dynamic conflict group decision-making models

Three birds, one stone: A novel translation based framework for joint entity and relation extraction

Feature super-resolution based Facial Expression Recognition for multi-scale low-resolution images

Lagrange interpolation-driven access control mechanism: Towards secure and privacy-preserving fusion of personal health records

X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images

A learning automata-based hybrid MPA and JS algorithm for numerical optimization problems and its application on data clustering

Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors