Huiling Chen

According to our database1, Huiling Chen authored at least 39 papers between 2004 and 2019.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Enhanced Moth-flame optimizer with mutation strategy for global optimization.
Inf. Sci., 2019

Harris hawks optimization: Algorithm and applications.
Future Generation Comp. Syst., 2019

An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks.
Expert Syst. Appl., 2019

Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients.
Computational Biology and Chemistry, 2019

A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features.
BMC Bioinformatics, 2019

A New Evolutionary Machine Learning Approach for Identifying Pyrene Induced Hepatotoxicity and Renal Dysfunction in Rats.
IEEE Access, 2019

Chaos-Induced and Mutation-Driven Schemes Boosting Salp Chains-Inspired Optimizers.
IEEE Access, 2019

A New Kernel Extreme Learning Machine Framework for Somatization Disorder Diagnosis.
IEEE Access, 2019

Predicting Intentions of Students for Master Programs Using a Chaos-Induced Sine Cosine-Based Fuzzy K-Nearest Neighbor Classifier.
IEEE Access, 2019

Using Biochemical Indexes to Prognose Paraquat-Poisoned Patients: An Extreme Learning Machine-Based Approach.
IEEE Access, 2019

2018
Developing a new intelligent system for the diagnosis of tuberculous pleural effusion.
Computer Methods and Programs in Biomedicine, 2018

An Intelligent Parkinson's Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach.
Comp. Math. Methods in Medicine, 2018

An Improved Bacterial-Foraging Optimization-Based Machine Learning Framework for Predicting the Severity of Somatization Disorder.
Algorithms, 2018

An Effective Machine Learning Approach for Identifying the Glyphosate Poisoning Status in Rats Using Blood Routine Test.
IEEE Access, 2018

Chaos Enhanced Bacterial Foraging Optimization for Global Optimization.
IEEE Access, 2018

Automatic Analysis of Microaneurysms Turnover to Diagnose the Progression of Diabetic Retinopathy.
IEEE Access, 2018

A New Effective Machine Learning Framework for Sepsis Diagnosis.
IEEE Access, 2018

2017
A Framework for Bus Trajectory Extraction and Missing Data Recovery for Data Sampled from the Internet.
Sensors, 2017

Towards Context-aware Social Recommendation via Individual Trust.
Knowl.-Based Syst., 2017

Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses.
Neurocomputing, 2017

Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction.
Eng. Appl. of AI, 2017

Ultrasound-based differentiation of malignant and benign thyroid Nodules: An extreme learning machine approach.
Computer Methods and Programs in Biomedicine, 2017

An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis.
Comp. Math. Methods in Medicine, 2017

3D-FOAdis: An Improved Fruit Fly Optimization for Function Optimization.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

LGWO: An Improved Grey Wolf Optimization for Function Optimization.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

2016
Evolving support vector machines using fruit fly optimization for medical data classification.
Knowl.-Based Syst., 2016

Medical image classification using spatial adjacent histogram based on adaptive local binary patterns.
Comp. in Bio. and Med., 2016

An Efficient and Effective Automatic Recognition System for Online Recognition of Foreign Fibers in Cotton.
IEEE Access, 2016

2015
Multiple parameter control for ant colony optimization applied to feature selection problem.
Neural Computing and Applications, 2015

A two-stage feature selection method with its application.
Computers & Electrical Engineering, 2015

An efficient machine learning approach for diagnosis of paraquat-poisoned patients.
Comp. in Bio. and Med., 2015

A New Evolutionary Fuzzy Instance-Based Learning Approach: Application for Detection of Parkinson's Disease.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015

Multimodal fusion for sensor data using stacked autoencoders.
Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015

Comparative Study on Metaheuristic-Based Feature Selection for Cotton Foreign Fibers Recognition.
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015

2014
Imputing missing values in sensor networks using sparse data representations.
Proceedings of the 17th ACM International Conference on Modeling, 2014

2012
The Colored Concept Map and Its Application in Learning Assistance Program.
Proceedings of the Hybrid Learning - 5th International Conference, 2012

The Analysis of Research Hotspots and Fronts of Knowledge Visualization Based on CiteSpace II.
Proceedings of the Hybrid Learning - 5th International Conference, 2012

2011
A new hybrid collective classification method based on random walk and link pattern.
Proceedings of the 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011

2004
Classification Comparison of Prediction of Solvent Accessibility From Protein Sequences.
Proceedings of the Second Asia-Pacific Bioinformatics Conference (APBC 2004), 2004


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