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Knowledge Based Systems （KBS） - Volume 235 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 235
发布时间： 10 January 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/knowledge-based-systems/vol/235/suppl/C
本期论文列表
Editorial Board

The Stochastic Augmented Lagrangian method for domain adaptation

Leveraging bilingual-view parallel translation for code-switched emotion detection with adversarial dual-channel encoder

An auction based task dispatching and pricing mechanism in bike-sharing

A process-oriented probabilistic linguistic decision-making model with unknown attribute weights

A bilevel whale optimization algorithm for risk management scheduling of information technology projects considering outsourcing

Enabling the interpretability of pretrained venue representations using semantic categories

Inferring substitutable and complementary products with Knowledge-Aware Path Reasoning based on dynamic policy network

PSATop-k: Approximate range top-k computation on big data

MICE: Mining Idioms with Contextual Embeddings

Dynamic Levy Flight Chimp Optimization

A social commerce purchasing decision model with trust network and item review information

Multi-view spectral clustering by simultaneous consensus graph learning and discretization

Explainability in supply chain operational risk management: A systematic literature review

Robust active representation via ℓ2,p-norm constraints

Distantly Supervised Relation Extraction using Global Hierarchy Embeddings and Local Probability Constraints

Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning

An efficient differential evolution algorithm based on orthogonal learning and elites local search mechanisms for numerical optimization

A priori-guided multi-layer rain-aware network for single image deraining

An enhanced black widow optimization algorithm for feature selection

Fractional-order comprehensive learning marine predators algorithm for global optimization and feature selection

SParseQA: Sequential word reordering and parsing for answering complex natural language questions over knowledge graphs

Integrating a novel multiple-objective FBI with BIM to determine tradeoff among resources in project scheduling

Manifold-based aggregation clustering for unsupervised vehicle re-identification

PathReasoner: Explainable reasoning paths for commonsense question answering

A bivariate Bayesian method for interval-valued regression models

Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings

Integration of an imbalance framework with novel high-generalizable classifiers for radiomics-based distant metastases prediction of advanced nasopharyngeal carcinoma

Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects

Exploring more diverse network architectures for single image super-resolution

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention

Low-resource extraction with knowledge-aware pairwise prototype learning

Forecasting price movements of global financial indexes using complex quantitative financial networks

Searching Target Communities with Outliers in attributed graph

Decoupled self-supervised label augmentation for fully-supervised image classification

Intrinsic dimension estimation method based on correlation dimension and kNN method

Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis

Statistics-based approach for large-scale group decision-making under incomplete Pythagorean fuzzy information with risk attitude

From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition

An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data

Virtual sensing techniques for nonlinear dynamic processes using weighted probability dynamic dual-latent variable model and its industrial applications

LSTM-SNP: A long short-term memory model inspired from spiking neural P systems

Strategy optimization of weighted networked evolutionary games with switched topologies and threshold

A self-adaptive weighted differential evolution approach for large-scale feature selection

Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization

A new two-layer nearest neighbor selection method for kNN classifier

Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture

A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems

Solving an EPQ model with doubt fuzzy set: A robust intelligent decision-making approach

Video sentiment analysis with bimodal information-augmented multi-head attention

Renewable quantile regression for streaming datasets

Subspace alignment based on an extreme learning machine for electronic nose drift compensation

Certificateless anti-quantum ring signcryption for network coding

Semi-supervised consensus clustering based on closed patterns

A reinforcement learning brain storm optimization algorithm (BSO) with learning mechanism

Graph-based multi-label disease prediction model learning from medical data and domain knowledge

How can dense results be differentiated in comprehensive evaluations? A hybrid information filtering model

Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding

Contextual sentiment embeddings via bi-directional GRU language model

Self-calibrated driver gaze estimation via gaze pattern learning

One model packs thousands of items with Recurrent Conditional Query Learning

Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models

Multi-view informed attention-based model for Irony and Satire detection in Spanish variants

Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks