0950-7051

Knowledge Based Systems （KBS） - Volume 252 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 252
发布时间： 27 September 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/knowledge-based-systems/vol/252/suppl/C
本期论文列表
Editorial Board

A discrete variant of cuckoo search algorithm to solve the Travelling Salesman Problem and path planning for autonomous trolley inside warehouse

Fusing entropy measures for dynamic feature selection in incomplete approximation spaces

Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images

Image rain removal and illumination enhancement done in one go

Knowledge graph embedding with self adaptive double-limited loss

Tensor-based multi-view clustering with consistency exploration and diversity regularization

Sentiment Lexical Strength Enhanced Self-supervised Attention Learning for sentiment analysis

Is cross-linguistic advert flaw detection in Wikipedia feasible? A multilingual-BERT-based transfer learning approach

Active deep image clustering

Attention-based anomaly detection in multi-view surveillance videos

Cross-modality disentanglement and shared feedback learning for infrared-visible person re-identification

Augmented Score-CAM: High resolution visual interpretations for deep neural networks

FT4cip: A new functional tree for classification in class imbalance problems

Smart contract-based caching and data transaction optimization in mobile edge computing

Co-saliency detection with intra-group two-stage group semantics propagation and inter-group contrastive learning

A gated graph convolutional network with multi-sensor signals for remaining useful life prediction

A fusion of a deep neural network and a hidden Markov model to recognize the multiclass abnormal behavior of elderly people

Finite-time dissipative control for bidirectional associative memory neural networks with state-dependent switching and time-varying delays

QMVO-SCDL: A new regression model for fMRI pain decoding using quantum-behaved sparse dictionary learning

Semantic driven attention network with attribute learning for unsupervised person re-identification

A stock price prediction method based on meta-learning and variational mode decomposition

Lexical semantics enhanced neural word embeddings

Knowledge-based turbomachinery design system via a deep neural network and multi-output Gaussian process

Rapid design centering of multi-band antennas using knowledge-based inverse models and response features

VLDeformer: Vision–Language Decomposed Transformer for fast cross-modal retrieval

Measuring road safety achievement based on EWM-GRA-SVD: A decision-making support system for APEC countries

Convergence analysis of asynchronous stochastic recursive gradient algorithms

An improved density peak clustering algorithm guided by pseudo labels

LKASR: Large kernel attention for lightweight image super-resolution

Transformer-based highlights extraction from scientific papers

Modeling and optimization control of networked evolutionary games with heterogeneous memories and switched topologies

Fast EM-driven parameter tuning of microwave circuits with sparse sensitivity updates via principal directions

Semi-Supervised Federated Heterogeneous Transfer Learning

Construction of stock portfolios based on k-means clustering of continuous trend features

Multi-expert Attention Network with Unsupervised Aggregation for long-tailed fault diagnosis under speed variation

FNC: A fast neighborhood calculation framework

Twin robust matrix machine for intelligent fault identification of outlier samples in roller bearing

Ad-hoc explanation for time series classification

Statistical Drift Detection Ensemble for batch processing of data streams

BKC-Net: Bi-Knowledge Contrastive Learning for renal tumor diagnosis on 3D CT images

Health indicator construction for degradation assessment by embedded LSTM–CNN​ autoencoder and growing self-organized map

End-to-end deep learning for reverse driving trajectory of autonomous bulldozer

A novel random multi-subspace based ReliefF for feature selection

Parallel multi-objective evolutionary optimization based dynamic community detection in software ecosystem

MFF-Net: A multi-feature fusion network for community detection in complex network

Learning to branch with Tree-aware Branching Transformers

A fuzzy Einstein-based decision support system for public transportation management at times of pandemic

Driver drowsiness detection in video sequences using hybrid selection of deep features

Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses

Few-shot object detection with semantic enhancement and semantic prototype contrastive learning

Learning twofold heterogeneous multi-task by sharing similar convolution kernel pairs

A multi-objective dynamic covering location problem for hierarchical agricultural machinery maintenance facilities

Siamese visual tracking combining granular level multi-scale features and global information

ELMGAN: A GAN-based efficient lightweight multi-scale-feature-fusion multi-task model

Intrusion detection using optimized ensemble classification in fog computing paradigm

D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis

Attention based long-term air temperature forecasting network: ALTF Net

An ensemble multi-step M-RMLSSVR model based on VMD and two-group strategy for day-ahead short-term load forecasting

A-SFS: Semi-supervised feature selection based on multi-task self-supervision

Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis

BMPA-TVSinV: A Binary Marine Predators Algorithm using time-varying sine and V-shaped transfer functions for wrapper-based feature selection

Subspace clustering by directly solving Discriminative K-means

Pre-trained language models with domain knowledge for biomedical extractive summarization

A novel intrinsically explainable model with semantic manifolds established via transformed priors

Multi-attention concept-cognitive learning model: A perspective from conceptual clustering

A class-aware supervised contrastive learning framework for imbalanced fault diagnosis

Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient

Latent graph learning with dual-channel attention for relation extraction

Turn tree into graph: Automatic code review via simplified AST driven graph convolutional network

Learning knowledge graph embeddings by deep relational roto-reflection

Deep coastal sea elements forecasting using UNet-based models

Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples

Entity alignment based on relational semantics augmentation for multilingual knowledge graphs

Attention-based aspect sentiment classification using enhanced learning through cnn-Bilstm networks

Trigger is Non-central: Jointly event extraction via label-aware representations with multi-task learning

Learning strategy for continuous robot visual control: A multi-objective perspective

Manifold discrimination partial adversarial domain adaptation

Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data

Federated knowledge graph completion via embedding-contrastive learning