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Knowledge Based Systems （KBS） - Volume 239 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 239
发布时间： 5 March 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/knowledge-based-systems/vol/239/suppl/C
本期论文列表
Editorial Board

Subspace clustering via adaptive least square regression with smooth affinities

SPR: Similarity pairwise ranking for personalized recommendation

MOLS-Net: Multi-organ and lesion segmentation network based on sequence feature pyramid and attention mechanism for aortic dissection diagnosis

A multi-module generative adversarial network augmented with adaptive decoupling strategy for intelligent fault diagnosis of machines with small sample

Self-attention neural architecture search for semantic image segmentation

A multi-method forecasting algorithm: Linear unbiased estimation of combine forecast

An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information

Optimal synthesis of mechanisms using repellency evolutionary algorithm

Brightness-gradient difference feature guided shadow removal method

An ensemble learning method based on deep neural network and group decision making

Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval

On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach

A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms

Ontology-aware dynamically adaptable free-form natural language agent interface for querying databases

Easy Domain Adaptation for cross-subject multi-view emotion recognition

An elitism-based multi-objective evolutionary algorithm for min-cost network disintegration

Combining max–min ant system with effective local search for solving the maximum set k-covering problem

DNN compression by ADMM-based joint pruning

Self-attention-based adaptive remaining useful life prediction for IGBT with Monte Carlo dropout

An adaptive and general model for label noise detection using relative probabilistic density

Continuous temporal network embedding by modeling neighborhood propagation process

Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data

CFs-focused intelligent diagnosis scheme via alternative kernels networks with soft squeeze-and-excitation attention for fast-precise fault detection under slow & sharp speed variations

An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding

A referenced iterated greedy algorithm for the distributed assembly mixed no-idle permutation flowshop scheduling problem with the total tardiness criterion

An online portfolio strategy based on trend promote price tracing ensemble learning algorithm

CJE-TIG: Zero-shot cross-lingual text-to-image generation by Corpora-based Joint Encoding

Robust gravitation based adaptive k-NN graph under class-imbalanced scenarios

Hybridised differential evolution and equilibrium optimiser with learning parameters for mechanical and aircraft wing design

QLogicE: Quantum Logic Empowered Embedding for Knowledge Graph Completion

MVE-FLK: A multi-task legal judgment prediction via multi-view encoder fusing legal keywords

Fuzzy clustering of Acute Lymphoblastic Leukemia images assisted by Eagle strategy and morphological reconstruction

ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling

FKPIndexNet: An efficient learning framework for finger-knuckle-print database indexing to boost identification

Privacy-preserving indoor localization based on inner product encryption in a cloud environment

An efficient method for mining sequential patterns with indices

Hybrid SOM based cross-modal retrieval exploiting Hebbian learning

Synchronization of multiple neural networks with reaction–diffusion terms under cyber–physical attacks

LSTM based decision support system for swing trading in stock market

Multi-local Collaborative AutoEncoder

Biased unconstrained non-negative matrix factorization for clustering

Hybrid recommendations and dynamic authoring for AR knowledge capture and re-use in diagnosis applications

PulseNet: A multitask learning network for remote heart rate estimation

PredRANN: The spatiotemporal attention Convolution Recurrent Neural Network for precipitation nowcasting

Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?

Personalized Knowledge Distillation for Recommender System

Semi-supervised NPC segmentation with uncertainty and attention guided consistency

Benchmark construction and experimental evaluations for incoherent ontologies

Publication classification prediction via citation attention fusion based on dynamic relations

Association Rules Enhanced Knowledge Graph Attention Network

Deep learning for missing value imputation of continuous data and the effect of data discretization

A new weakly supervised strategy for surgical tool detection

Feature separation and double causal comparison loss for visible and infrared person re-identification

Artificial intelligence-enabled non-intrusive vigilance assessment approach to reducing traffic controller’s human errors

Smart-VPoseNet: 3D human pose estimation models and methods based on multi-view discriminant network

Disagreement-based class incremental random forest for sensor-based activity recognition

The automatic design of parameter adaptation techniques for differential evolution with genetic programming

Dual constraints and adversarial learning for fair recommenders

Multi-label modality enhanced attention based self-supervised deep cross-modal hashing

A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine