Artificial Intelligence Review

Artificial Intelligence Review

人工智能评论

  • 1区 中科院分区
  • Q1 JCR分区

高引用文章

文章名称 引用次数
Pythagorean fuzzy set: state of the art and future directions 66
Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey 53
Metaheuristic research: a comprehensive survey 49
Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey 44
Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning 35
A novel type of soft rough covering and its application to multicriteria group decision making 33
Natural language based financial forecasting: a survey 30
Selecting training sets for support vector machines: a review 28
A review on deep learning for recommender systems: challenges and remedies 27
Clustering ensemble selection considering quality and diversity 27
A review on methods and software for fuzzy cognitive maps 23
A survey on classification techniques for opinion mining and sentiment analysis 22
Categorizing feature selection methods for multi-label classification 21
Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation 20
Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges 20
Problem formulations and solvers in linear SVM: a review 19
Recent progress in semantic image segmentation 19
Comprehensive comparison of online ADP algorithms for continuous-time optimal control 18
Flower pollination algorithm: a comprehensive review 18
A comprehensive review of krill herd algorithm: variants, hybrids and applications 18
A survey of parameter reduction of soft sets and corresponding algorithms 17
Iterative ADP learning algorithms for discrete-time multi-player games 16
Machine learning based decision support systems (DSS) for heart disease diagnosis: a review 16
Diversity based cluster weighting in cluster ensemble: an information theory approach 14
Topologies and performance of intelligent algorithms: a comprehensive review 14
Using machine learning to predict student difficulties from learning session data 13
Scene analysis and search using local features and support vector machine for effective content-based image retrieval 13
Review of background subtraction methods using Gaussian mixture model for video surveillance systems 13
A survey of decision making methods based on two classes of hybrid soft set models 11
A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks 11
Character and numeral recognition for non-Indic and Indic scripts: a survey 11
Comparison of artificial neural networks, fuzzy logic and neuro fuzzy for predicting optimization of building thermal consumption: a survey 10
Survey on supervised machine learning techniques for automatic text classification 10
Recent studies on optimisation method of Grey Wolf Optimiser (GWO): a review (2014-2017) 10
Granular support vector machine: a review 10
A review of adaptive online learning for artificial neural networks 9
A survey for the applications of content-based microscopic image analysis in microorganism classification domains 9
Sports inspired computational intelligence algorithms for global optimization 9
A study on software fault prediction techniques 9
Application of artificial intelligence techniques in the petroleum industry: a review 9
A comprehensive review of recent advances on deep vision systems 8
Empirically grounded agent-based models of innovation diffusion: a critical review 8
A review on the applications of neuro-fuzzy systems in business 8
Research and development of neural network ensembles: a survey 8
Continuous versions of firefly algorithm: a review 8
A hybrid intrusion detection system (HIDS) based on prioritized k-nearest neighbors and optimized SVM classifiers 8
A survey of virtual sample generation technology for face recognition 7
An overview on trajectory outlier detection 7
Face detection techniques: a review 7
Bayesian network hybrid learning using an elite-guided genetic algorithm 7