Ran Wang - Citegraph

Author Info

Name	Affiliation	Papers
RAN WANG	City Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China	52
Collaborators	Citations	PageRank
77	439	24.42
Referers	Referees	References
1146	1491	806

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Publications (52 rows)

Collaborators (77 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Towards improving fast adversarial training in multi-exit network	0	0.34	2022
Fuzzy Monotonic <italic>K</italic>-Nearest Neighbor Versus Monotonic Fuzzy <italic>K</italic>-Nearest Neighbor	1	0.35	2022
No-reference image quality assessment for contrast-changed images via a semi-supervised robust PCA model	0	0.34	2021
Bayesian network based label correlation analysis for multi-label classifier chain	0	0.34	2021
Positive and Negative Label-Driven Nonnegative Matrix Factorization	3	0.37	2021
Joint Optimization for Pairwise Constraint Propagation.	2	0.37	2021
Active k-labelsets ensemble for multi-label classification	2	0.36	2021
Set Theory-Based Operator Design in Evolutionary Algorithms for Solving Knapsack Problems	0	0.34	2021
An analysis on the relationship between uncertainty and misclassification rate of classifiers.	0	0.34	2020
Deep Joint Neural Model for Single Image Haze Removal and Color Correction	1	0.35	2020
Applying Exponential Family Distribution to Generalized Extreme Learning Machine	1	0.35	2020
Sparse Bayesian Learning-Based Kernel Poisson Regression.	5	0.40	2019
iMCRec: A multi-criteria framework for personalized point-of-interest recommendations.	2	0.36	2019
Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks	28	0.74	2019
An improved fuzzy ARTMAP and Q-learning agent model for pattern classification.	3	0.37	2019
An off-center technique: Learning a feature transformation to improve the performance of clustering and classification.	0	0.34	2019
Feature Selection for Data Classification based on Binary Brain Storm Optimization	0	0.34	2019
Editorial: Affective and sentimental computing.	0	0.34	2019
Multi-criteria decision making based architecture selection for single-hidden layer feedforward neural networks	1	0.35	2019
Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification	2	0.35	2018
Discovering the impact of hidden layer parameters on non-iterative training of feed-forward neural networks.	0	0.34	2018
TaxiRec: recommending road clusters to taxi drivers using ranking-based extreme learning machines.	10	0.50	2018
Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification.	33	0.69	2018
Incorporating Diversity and Informativeness in Multiple-Instance Active Learning.	30	0.63	2017
Binary and Multi-Class Learning Based Low Complexity Optimization for HEVC Encoding.	11	0.55	2017
Ambiguity-Based Multiclass Active Learning	7	0.44	2016
Empirical analysis: stock market prediction via extreme learning machine.	12	0.62	2016
Exploring cell tower data dumps for supervised learning-based point-of-interest prediction (industrial paper)	1	0.35	2016
Two-Level Stable Matching-Based Selection In Moea/D	6	0.43	2015
Class-specific soft voting based multiple extreme learning machines ensemble.	10	0.53	2015
Active Learning Based On Single-Hidden Layer Feed-Forward Neural Network	0	0.34	2015
Interval extreme learning machine for big data based on uncertainty reduction.	4	0.39	2015
Exploring cell tower data dumps for supervised learning-based point-of-interest prediction	2	0.39	2014
A new approach to classifier fusion based on upper integral.	26	0.70	2014
Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis	13	0.64	2014
Stable Matching-Based Selection in Evolutionary Multiobjective Optimization	88	1.59	2014
Using multi-criteria decision making for personalized point-of-interest recommendations	8	0.47	2014
Fuzzy-Rough-Set-Based Active Learning	12	0.53	2014
AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble	0	0.34	2014
Active learning with multi-criteria decision making systems.	11	0.54	2014
Learning paradigm based on jumping genes: A general framework for enhancing exploration in evolutionary multiobjective optimization	25	0.79	2013
A vector-valued support vector machine model for multiclass problem	11	0.54	2013
Fuzzy rough sets based uncertainty measuring for stream based active learning	1	0.36	2012
A study on random weights between input and hidden layers in extreme learning machine	14	0.63	2012
A noise-detection based AdaBoost algorithm for mislabeled data	25	0.82	2012
Multi-objective differential evolution with self-navigation	7	0.52	2012
Inconsistency-based active learning for support vector machines	15	0.58	2012
A weighted voting method using minimum square error based on Extreme Learning Machine	3	0.37	2012
A new method for multi-class support vector machines by training least number of classifiers	0	0.34	2011
Active learning based on support vector machines	1	0.35	2010

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