Yu-Lin He

According to our database1, Yu-Lin He authored at least 45 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


A new approach to solve opinion dynamics on complex networks.
Expert Syst. Appl., 2020

A new kernel density estimator based on the minimum entropy of data set.
Inf. Sci., 2019

Further improvements on extreme learning machine for interval neural network.
Neural Computing and Applications, 2018

Determining the optimal temperature parameter for Softmax function in reinforcement learning.
Appl. Soft Comput., 2018

Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data.
Appl. Soft Comput., 2018

Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

Comments on "Local coupled extreme learning machine".
Neural Computing and Applications, 2017

Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression.
Neural Computing and Applications, 2017

Toward an efficient fuzziness based instance selection methodology for intrusion detection system.
Int. J. Machine Learning & Cybernetics, 2017

Fuzziness based semi-supervised learning approach for intrusion detection system.
Inf. Sci., 2017

A Random Sample Partition Data Model for Big Data Analysis.
CoRR, 2017

Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Impact of Variances of Random Weights and Biases on Extreme Learning Machine.
JSW, 2016

An Improved Local Coupled Extreme Learning Machine.
JSW, 2016

Exact and approximate algorithms for discounted {0-1} knapsack problem.
Inf. Sci., 2016

Fuzzy nonlinear regression analysis using a random weight network.
Inf. Sci., 2016

An approach to sample selection from big data for classification.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Empirical analysis of asymptotic ensemble learning for big data.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

Learning ELM-Tree from big data based on uncertainty reduction.
Fuzzy Sets and Systems, 2015

OWA operator based link prediction ensemble for social network.
Expert Syst. Appl., 2015

Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes.
IEEE Trans. Cybernetics, 2014

Domain ontology graph model and its application in Chinese text classification.
Neural Computing and Applications, 2014

A set covering based approach to find the reduct of variable precision rough set.
Inf. Sci., 2014

Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis.
Inf. Sci., 2014

A study on residence error of training an extreme learning machine and its application to evolutionary algorithms.
Neurocomputing, 2014

A study on relationships between heuristics and optimal cuts in decision tree induction.
Computers & Electrical Engineering, 2014

A hybrid algorithm for recommendation twitter peers.
Proceedings of the Symposium on Applied Computing, 2014

Integrating Local Information-based Link Prediction Algorithms with OWA Operator.
Proceedings of the ICPRAM 2014, 2014

A Further Investigation on the Reliability of Extreme Learning Machines.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

An advancing investigation on reduct and consistency for decision tables in Variable Precision Rough Set models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Regression ensemble with PSO algorithms based fuzzy integral.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A New Method for Knowledge and Information Management Domain Ontology Graph Model.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2013

A Combined Position Evaluation Function in Chinese Chess Computer Game.
Trans. Computational Science, 2013

Comparison of geometric and arithmetic means for bandwidth selection in Nadaraya-Watson kernel regression estimator.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Optimal bandwidth selection for re-substitution entropy estimation.
Applied Mathematics and Computation, 2012

Naive Bayesian Classifier Based on Neighborhood Probability.
Proceedings of the Advances in Computational Intelligence, 2012

Improving kernel incapability by equivalent probability in flexible naïve Bayesian.
Proceedings of the FUZZ-IEEE 2012, 2012

Particle swarm optimization for determining fuzzy measures from data.
Inf. Sci., 2011

A comparative study among different kernel functions in flexible naïve Bayesian classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

A new instance selection algorithm based on contribution for nearest neighbour classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010