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Knowledge Based Systems （KBS） - Volume 251 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 251
发布时间： 5 September 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/knowledge-based-systems/vol/251/suppl/C
本期论文列表
Editorial Board

One step at a time: An efficient approach to query-based ontology debugging

A knowledge-enhanced contextual bandit approach for personalized recommendation in dynamic domains

Engineering uncertain time for its practical integration in ontologies

Network-based dimensionality reduction of high-dimensional, low-sample-size datasets

Scalable semantic-enhanced supervised hashing for cross-modal retrieval

Negative pattern discovery with individual support

Prediction of the driver’s focus of attention based on feature visualization of a deep autonomous driving model

JointMatcher: Numerically-aware entity matching using pre-trained language models with attention concentration

A self-adaptive hyper-heuristic based multi-objective optimisation approach for integrated supply chain scheduling problems

An opinion dynamics model for unrelated discrete opinions

On the form of parsed sentences for relation extraction

Content-aware Recommendation via Dynamic Heterogeneous Graph Convolutional Network

Log-based sparse nonnegative matrix factorization for data representation

Markov clustering ensemble

Time enhanced graph neural networks for session-based recommendation

Inter-cluster and intra-cluster joint optimization for unsupervised cross-domain person re-identification

Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning

Beluga whale optimization: A novel nature-inspired metaheuristic algorithm

A new metaheuristic optimization based on K-means clustering algorithm and its application to structural damage identification

HADA: An automated tool for hardware dimensioning of AI applications

LELNER: A Lightweight and Effective Low-resource Named Entity Recognition model

Multi-label active learning through serial–parallel neural networks

Dynamically induced clustering ant colony algorithm based on a coevolutionary chain

Deep alternating non-negative matrix factorisation

Dynamic sparse portfolio rebalancing model: A perspective of investors’ behavior-related decisions

An adaptable, high-performance relation extraction system for complex sentences

GraphRR: A multiplex Graph based Reciprocal friend Recommender system with applications on online gaming service

Small dataset solves big problem: An outlier-insensitive binary classifier for inhibitory potency prediction

Transferring model structure in Bayesian transfer learning for Gaussian process regression

Cross-granularity multi-task network for ischemia diagnosis and defect detection in the myocardial perfusion imaging

Evolutionary neural architecture search based on evaluation correction and functional units

SW: A weighted space division framework for imbalanced problems with label noise

RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification

Robust collaborative clustering approach with adaptive local structure learning

Heterogeneous graph neural network for attribute completion

Boosting RGB-D salient object detection with adaptively cooperative dynamic fusion network

Behavior segmentation of electricity consumption patterns: A cluster analytical approach

Kaplan–Meier Markov network: Learning the distribution of market price by censored data in online advertising

Graph-ICF: Item-based collaborative filtering based on graph neural network

Multi streams with dynamic balancing-based Conditional Generative Adversarial Network for paired image generation

slr-kit: A semi-supervised machine learning framework for systematic literature reviews

Provable convergence of Nesterov’s accelerated gradient method for over-parameterized neural networks

Cross-domain intelligent bearing fault diagnosis under class imbalanced samples via transfer residual network augmented with explicit weight self-assignment strategy based on meta data

An efficient differential evolution with fitness-based dynamic mutation strategy and control parameters

FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference

Semi-supervised feature selection via adaptive structure learning and constrained graph learning

Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation

CGSNet: Contrastive Graph Self-Attention Network for Session-based Recommendation

Incorporating geometry knowledge into an incremental learning structure for few-shot intent recognition

MGRank: A keyword extraction system based on multigraph GoW model and novel edge weighting procedure

Auto-weighted low-rank representation for clustering

Micro-behaviour with Reinforcement Knowledge-aware Reasoning for Explainable Recommendation

A line-segment-based non-maximum suppression method for accurate object detection

A Type 2 wavelet brain emotional learning network with double recurrent loops based controller for nonlinear systems

Multi-level out-of-vocabulary words handling approach

Scene graph generation with award-punishment strategy

Modeling N-ary relational data as gyro-polygons with learnable gyro-centroid

Learning to rank complex network node based on the self-supervised graph convolution model

Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples

Regularized discriminative broad learning system for image classification

Four-player GroupGAN for weak expression recognition via latent expression magnification

Relational tree ensembles and feature rankings

Dual-domain attention-guided convolutional neural network for low-dose cone-beam computed tomography reconstruction

Multi-relational graph attention networks for knowledge graph completion

An efficient algorithm for isometrically embedding weighted trees into low-dimensional ℓ∞-normed spaces

Exploiting temporal coherence for self-supervised visual tracking by using vision transformer

Graph convolutional networks in language and vision: A survey

Dual-stream Reciprocal Disentanglement Learning for domain adaptation person re-identification

Haze transfer and feature aggregation network for real-world single image dehazing

Hierarchical classification for account code suggestion

Multi-population-based adaptive sine cosine algorithm with modified mutualism strategy for global optimization

A supervised case-based reasoning approach for explainable thyroid nodule diagnosis

Exploring post-hoc agnostic models for explainable cooking recipe recommendations

Temporal knowledge graph question answering via subgraph reasoning

Temporal knowledge graph representation learning with local and global evolutions

Learning attention-based representations from multiple patterns for relation prediction in knowledge graphs