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Knowledge Based Systems
Volume 203
Knowledge Based Systems
(KBS)
-
Volume 203
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 203
发布时间:
5 September 2020
卷期年份:
2020
卷期官网:
https://www.sciencedirect.com/journal/knowledge-based-systems/vol/203/suppl/C
本期论文列表
Editorial Board
原文链接
谷歌学术
必应学术
百度学术
Instance-based weighting filter for superparent one-dependence estimators
原文链接
谷歌学术
必应学术
百度学术
Remote sensing image captioning via Variational Autoencoder and Reinforcement Learning
原文链接
谷歌学术
必应学术
百度学术
A structure optimization method for extended belief-rule-based classification system
原文链接
谷歌学术
必应学术
百度学术
Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches
原文链接
谷歌学术
必应学术
百度学术
Two-stage sentiment classification based on user-product interactive information
原文链接
谷歌学术
必应学术
百度学术
SiamAtt: Siamese attention network for visual tracking
原文链接
谷歌学术
必应学术
百度学术
Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds
原文链接
谷歌学术
必应学术
百度学术
A robust time series prediction method based on empirical mode decomposition and high-order fuzzy cognitive maps
原文链接
谷歌学术
必应学术
百度学术
Improving the robustness of machine reading comprehension model with hierarchical knowledge and auxiliary unanswerability prediction
原文链接
谷歌学术
必应学术
百度学术
Robust multi-label feature selection with dual-graph regularization
原文链接
谷歌学术
必应学术
百度学术
Comprehensive relative importance analysis and its applications to high dimensional gene expression data analysis
原文链接
谷歌学术
必应学术
百度学术
A weighted hybrid ensemble method for classifying imbalanced data
原文链接
谷歌学术
必应学术
百度学术
IA-SUWO: An Improving Adaptive semi-unsupervised weighted oversampling for imbalanced classification problems
原文链接
谷歌学术
必应学术
百度学术
Sketch-then-Edit Generative Adversarial Network
原文链接
谷歌学术
必应学术
百度学术
A prospect theory-based three-way decision model
原文链接
谷歌学术
必应学术
百度学术
Recurrent neural network with pooling operation and attention mechanism for sentiment analysis: A multi-task learning approach
原文链接
谷歌学术
必应学术
百度学术
Hashtag our stories: Hashtag recommendation for micro-videos via harnessing multiple modalities
原文链接
谷歌学术
必应学术
百度学术
Lightweight multi-scale residual networks with attention for image super-resolution
原文链接
谷歌学术
必应学术
百度学术
Multi-component transfer metric learning for handling unrelated source domain samples
原文链接
谷歌学术
必应学术
百度学术
Auto-Regressive Time Delayed jump neural network for blood glucose levels forecasting
原文链接
谷歌学术
必应学术
百度学术
A new iterated local search algorithm for the cyclic bandwidth problem
原文链接
谷歌学术
必应学术
百度学术
Attention-aware scoring learning for person re-identification
原文链接
谷歌学术
必应学术
百度学术
A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection
原文链接
谷歌学术
必应学术
百度学术
Generating attentive goals for prioritized hindsight reinforcement learning
原文链接
谷歌学术
必应学术
百度学术
Secure collaborative few-shot learning
原文链接
谷歌学术
必应学术
百度学术
Granule description in knowledge granularity and representation
原文链接
谷歌学术
必应学术
百度学术
A deep learning model to effectively capture mutation information in multivariate time series prediction
原文链接
谷歌学术
必应学术
百度学术
Recognition of opinion leaders coalitions in online social network using game theory
原文链接
谷歌学术
必应学术
百度学术
An improved Dragonfly Algorithm for feature selection
原文链接
谷歌学术
必应学术
百度学术
CNN-FCM: System modeling promotes stability of deep learning in time series prediction
原文链接
谷歌学术
必应学术
百度学术
A mixed integer linear programming support vector machine for cost-effective feature selection
原文链接
谷歌学术
必应学术
百度学术
Hidden behavior prediction of complex system based on time-delay belief rule base forecasting model
原文链接
谷歌学术
必应学术
百度学术
Cross-modal learning with prior visual relation knowledge
原文链接
谷歌学术
必应学术
百度学术
SurvLIME: A method for explaining machine learning survival models
原文链接
谷歌学术
必应学术
百度学术
A hybrid model to support decision making in emergency department management
原文链接
谷歌学术
必应学术
百度学术
Tag-informed collaborative topic modeling for cross domain recommendations
原文链接
谷歌学术
必应学术
百度学术
Supervised link prediction in multiplex networks
原文链接
谷歌学术
必应学术
百度学术
Quantum-inspired ant lion optimized hybrid k-means for cluster analysis and intrusion detection
原文链接
谷歌学术
必应学术
百度学术