Huiling Chen
Orcid: 0000-0002-7714-9693Affiliations:
- Wenzhou University, College of Computer Science and Artificial Intelligence, China
- Jilin University, Department of Computer Science and Technology, China (PhD)
According to our database1,
Huiling Chen
authored at least 284 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis.
IEEE Trans. Medical Imaging, March, 2024
Advancing gene feature selection: Comprehensive learning modified hunger games search for high-dimensional data.
Biomed. Signal Process. Control., January, 2024
M³FuNet: An Unsupervised Multivariate Feature Fusion Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024
Performance optimization of hunger games search for multi-threshold COVID-19 image segmentation.
Multim. Tools Appl., 2024
Reinforced covariance weighted mean of vectors optimizer: insight, diversity, deep analysis and feature selection.
Appl. Intell., 2024
2023
Multi-strategy enhanced kernel search optimization and its application in economic emission dispatch problems.
J. Comput. Des. Eng., December, 2023
Utilizing bee foraging behavior in mutational salp swarm for feature selection: a study on return-intentions of overseas Chinese after COVID-19.
J. Comput. Des. Eng., November, 2023
Multi-threshold remote sensing image segmentation with improved ant colony optimizer with salp foraging.
J. Comput. Des. Eng., November, 2023
Optimizing deep transfer networks with fruit fly optimization for accurate diagnosis of diabetic retinopathy.
Appl. Soft Comput., November, 2023
An Enhanced RIME Optimizer with Horizontal and Vertical Crossover for Discriminating Microseismic and Blasting Signals in Deep Mines.
Sensors, October, 2023
OCRUN: An oppositional Runge Kutta optimizer with cuckoo search for global optimization and feature selection.
Appl. Soft Comput., October, 2023
Static photovoltaic models' parameter extraction using reinforcement learning strategy adapted local gradient Nelder-Mead Runge Kutta method.
Appl. Intell., October, 2023
Dimensional decision covariance colony predation algorithm: global optimization and high-dimensional feature selection.
Artif. Intell. Rev., October, 2023
Boosted local dimensional mutation and all-dimensional neighborhood slime mould algorithm for feature selection.
Neurocomputing, September, 2023
Dynamic mechanism-assisted artificial bee colony optimization for image segmentation of COVID-19 chest X-ray.
Displays, September, 2023
Multi-threshold image segmentation using an enhanced fruit fly optimization for COVID-19 X-ray images.
Biomed. Signal Process. Control., September, 2023
A solution to the stagnation of multi-verse optimization: An efficient method for breast cancer pathologic images segmentation.
Biomed. Signal Process. Control., September, 2023
Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection.
Appl. Soft Comput., September, 2023
Gaussian bare-bone slime mould algorithm: performance optimization and case studies on truss structures.
Artif. Intell. Rev., September, 2023
Multi-threshold image segmentation based on an improved differential evolution: Case study of thyroid papillary carcinoma.
Biomed. Signal Process. Control., August, 2023
Sine cosine algorithm with communication and quality enhancement: Performance design for engineering problems.
J. Comput. Des. Eng., July, 2023
Gaussian similarity-based adaptive dynamic label assignment for tiny object detection.
Neurocomputing, July, 2023
JAMSNet: A Remote Pulse Extraction Network Based on Joint Attention and Multi-Scale Fusion.
IEEE Trans. Circuits Syst. Video Technol., June, 2023
Eres-UNet++: Liver CT image segmentation based on high-efficiency channel attention and Res-UNet++.
Comput. Biol. Medicine, May, 2023
Multi-strategy ant colony optimization for multi-level image segmentation: Case study of melanoma.
Biomed. Signal Process. Control., May, 2023
Whale optimization with random contraction and Rosenbrock method for COVID-19 disease prediction.
Biomed. Signal Process. Control., May, 2023
Medical machine learning based on multiobjective evolutionary algorithm using learning decomposition.
Expert Syst. Appl., April, 2023
Elite levy spreading differential evolution via ABC shrink-wrap for multi-threshold segmentation of breast cancer images.
Biomed. Signal Process. Control., April, 2023
Image segmentation of Intracerebral hemorrhage patients based on enhanced hunger Games search Optimizer.
Biomed. Signal Process. Control., April, 2023
IEEE Trans. Ind. Informatics, March, 2023
Cauchy mutation boosted Harris hawk algorithm: optimal performance design and engineering applications.
J. Comput. Des. Eng., March, 2023
Salp swarm algorithm with iterative mapping and local escaping for multi-level threshold image segmentation: a skin cancer dermoscopic case study.
J. Comput. Des. Eng., March, 2023
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation.
Frontiers Neuroinformatics, March, 2023
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms.
Frontiers Neuroinformatics, March, 2023
A multi-objective evolutionary algorithm with decomposition and the information feedback for high-dimensional medical data.
Appl. Soft Comput., March, 2023
A horizontal and vertical crossover cuckoo search: optimizing performance for the engineering problems.
J. Comput. Des. Eng., January, 2023
An incremental learning evolutionary algorithm for many-objective optimization with irregular Pareto fronts.
Inf. Sci., 2023
IEEE Internet Things J., 2023
Neurocomputing, 2023
Unsupervised domain adaptation via style adaptation and boundary enhancement for medical semantic segmentation.
Neurocomputing, 2023
Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet.
Neurocomputing, 2023
Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems.
Eng. Comput., 2023
Boosting whale optimization with evolution strategy and Gaussian random walks: an image segmentation method.
Eng. Comput., 2023
Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19.
Expert Syst. Appl., 2023
An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems.
Expert Syst. Appl., 2023
Enhanced Gaussian bare-bones grasshopper optimization: Mitigating the performance concerns for feature selection.
Expert Syst. Appl., 2023
Expert Syst. Appl., 2023
Enhancing the performance of Piezoelectric Energy Harvester under electrostatic actuation using a robust metaheuristic algorithm.
Eng. Appl. Artif. Intell., 2023
Multi-level threshold segmentation framework for breast cancer images using enhanced differential evolution.
Biomed. Signal Process. Control., 2023
Performance optimization of water cycle algorithm for multilevel lupus nephritis image segmentation.
Biomed. Signal Process. Control., 2023
An Objective Reduction Evolutionary Multiobjective Algorithm using Adaptive Density-Based Clustering for Many-objective Optimization Problem.
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023
2022
Spiral Gaussian mutation sine cosine algorithm: Framework and comprehensive performance optimization.
Expert Syst. Appl., December, 2022
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China.
Frontiers Neuroinformatics, August, 2022
Symmetry, 2022
Research on a Covert Communication Model Realized by Using Smart Contracts in Blockchain Environment.
IEEE Syst. J., 2022
A Novel Smart Contract Vulnerability Detection Method Based on Information Graph and Ensemble Learning.
Sensors, 2022
Sensors, 2022
Sensors, 2022
SA-FEM: Combined Feature Selection and Feature Fusion for Students' Performance Prediction.
Sensors, 2022
Multi-Strategy Learning Boosted Colony Predation Algorithm for Photovoltaic Model Parameter Identification.
Sensors, 2022
An effective deep learning method with multi-feature and attention mechanism for recognition of Chinese rice variety information.
Multim. Tools Appl., 2022
Multim. Tools Appl., 2022
Int. J. Mach. Learn. Cybern., 2022
Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection.
Knowl. Based Syst., 2022
A machine learning framework for identifying influenza pneumonia from bacterial pneumonia for medical decision making.
J. Comput. Sci., 2022
Analysis of COVID-19 severity from the perspective of coagulation index using evolutionary machine learning with enhanced brain storm optimization.
J. King Saud Univ. Comput. Inf. Sci., 2022
Advanced orthogonal learning and Gaussian barebone hunger games for engineering design.
J. Comput. Des. Eng., 2022
Opposition-based ant colony optimization with all-dimension neighborhood search for engineering design.
J. Comput. Des. Eng., 2022
Laplace crossover and random replacement strategy boosted Harris hawks optimization: performance optimization and analysis.
J. Comput. Des. Eng., 2022
Performance optimization of annealing salp swarm algorithm: frameworks and applications for engineering design.
J. Comput. Des. Eng., 2022
Individual disturbance and neighborhood mutation search enhanced whale optimization: performance design for engineering problems.
J. Comput. Des. Eng., 2022
Directional crossover slime mould algorithm with adaptive Lévy diversity for the optimal design of real-world problems.
J. Comput. Des. Eng., 2022
Directional mutation and crossover for immature performance of whale algorithm with application to engineering optimization.
J. Comput. Des. Eng., 2022
Horizontal and vertical crossover of sine cosine algorithm with quick moves for optimization and feature selection.
J. Comput. Des. Eng., 2022
Multi-strategy particle swarm and ant colony hybrid optimization for airport taxiway planning problem.
Inf. Sci., 2022
An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems.
Inf. Sci., 2022
Enhancing Secrecy Performance of Cooperative NOMA-Based IoT Networks via Multiantenna-Aided Artificial Noise.
IEEE Internet Things J., 2022
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection.
Neurocomputing, 2022
Gaussian bare-bones gradient-based optimization: Towards mitigating the performance concerns.
Int. J. Intell. Syst., 2022
Chaotic diffusion-limited aggregation enhanced grey wolf optimizer: Insights, analysis, binarization, and feature selection.
Int. J. Intell. Syst., 2022
DADCNet: Dual attention densely connected network for more accurate real iris region segmentation.
Int. J. Intell. Syst., 2022
Multi-threshold image segmentation for melanoma based on Kapur's entropy using enhanced ant colony optimization.
Frontiers Neuroinformatics, 2022
Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-19.
Frontiers Neuroinformatics, 2022
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques.
Frontiers Neuroinformatics, 2022
bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.
Frontiers Neuroinformatics, 2022
Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine.
Frontiers Neuroinformatics, 2022
Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine.
Frontiers Neuroinformatics, 2022
Elite dominance scheme ingrained adaptive salp swarm algorithm: a comprehensive study.
Eng. Comput., 2022
An enhanced Cauchy mutation grasshopper optimization with trigonometric substitution: engineering design and feature selection.
Eng. Comput., 2022
Eng. Comput., 2022
Memory-based Harris hawk optimization with learning agents: a feature selection approach.
Eng. Comput., 2022
Improved Salp Swarm Algorithm with mutation schemes for solving global optimization and engineering problems.
Eng. Comput., 2022
Eng. Comput., 2022
Eng. Comput., 2022
Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings.
Eng. Comput., 2022
Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm.
Expert Syst. Appl., 2022
A successful candidate strategy with Runge-Kutta optimization for multi-hydropower reservoir optimization.
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
Eng. Appl. Artif. Intell., 2022
Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm.
Eng. Appl. Artif. Intell., 2022
Adaptive Harris hawks optimization with persistent trigonometric differences for photovoltaic model parameter extraction.
Eng. Appl. Artif. Intell., 2022
A novel and efficient salp swarm algorithm for large-scale QoS-aware service composition selection.
Computing, 2022
Comput. Networks, 2022
Comput. Electron. Agric., 2022
Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study.
Comput. Biol. Medicine, 2022
Boosted machine learning model for predicting intradialytic hypotension using serum biomarkers of nutrition.
Comput. Biol. Medicine, 2022
An optimized machine learning framework for predicting intradialytic hypotension using indexes of chronic kidney disease-mineral and bone disorders.
Comput. Biol. Medicine, 2022
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm.
Comput. Biol. Medicine, 2022
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis.
Comput. Biol. Medicine, 2022
A 65nm/0.448 mW EEG processor with parallel architecture SVM and lifting wavelet transform for high-performance and low-power epilepsy detection.
Comput. Biol. Medicine, 2022
Lupus nephritis diagnosis using enhanced moth flame algorithm with support vector machines.
Comput. Biol. Medicine, 2022
Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images.
Comput. Biol. Medicine, 2022
An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis.
Comput. Biol. Medicine, 2022
An efficient rotational direction heap-based optimization with orthogonal structure for medical diagnosis.
Comput. Biol. Medicine, 2022
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
Chaotic simulated annealing multi-verse optimization enhanced kernel extreme learning machine for medical diagnosis.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine.
Comput. Biol. Medicine, 2022
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images.
Comput. Biol. Medicine, 2022
An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation.
Appl. Soft Comput., 2022
Proceedings of the Smart Computing and Communication - 7th International Conference, 2022
Proceedings of the Smart Computing and Communication - 7th International Conference, 2022
Proceedings of the Knowledge Science, Engineering and Management, 2022
2021
Math. Comput. Simul., 2021
Dealing with multi-modality using synthesis of Moth-flame optimizer with sine cosine mechanisms.
Math. Comput. Simul., 2021
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy.
Knowl. Based Syst., 2021
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance.
Knowl. Based Syst., 2021
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns.
Knowl. Based Syst., 2021
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis.
Knowl. Based Syst., 2021
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection.
Knowl. Based Syst., 2021
Knowl. Based Syst., 2021
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem.
Knowl. Based Syst., 2021
J. Electronic Imaging, 2021
Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis.
Neurocomputing, 2021
Binary particle swarm optimisation and the extreme learning machine for diagnosing paraquat-poisoned patients.
Int. J. Autom. Control., 2021
Secure and efficient data storage and sharing scheme for blockchain-based mobile-edge computing.
Trans. Emerg. Telecommun. Technol., 2021
Expert Syst. Appl., 2021
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation.
Expert Syst. Appl., 2021
Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis.
Expert Syst. Appl., 2021
Expert Syst. Appl., 2021
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts.
Expert Syst. Appl., 2021
Expert Syst. Appl., 2021
Expert Syst. Appl., 2021
Enhanced Harris hawks optimization with multi-strategy for global optimization tasks.
Expert Syst. Appl., 2021
Memetic Harris Hawks Optimization: Developments and perspectives on project scheduling and QoS-aware web service composition.
Expert Syst. Appl., 2021
Elitist non-dominated sorting Harris hawks optimization: Framework and developments for multi-objective problems.
Expert Syst. Appl., 2021
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method.
Expert Syst. Appl., 2021
Comput. Vis. Image Underst., 2021
Resource allocation and trust computing for blockchain-enabled edge computing system.
Comput. Secur., 2021
Improved Butterfly Optimizer-Configured Extreme Learning Machine for Fault Diagnosis.
Complex., 2021
Modified Whale Optimization Algorithm for Solar Cell and PV Module Parameter Identification.
Complex., 2021
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease.
Comput. Biol. Medicine, 2021
Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy.
Comput. Biol. Medicine, 2021
Gaussian Barebone Salp Swarm Algorithm with Stochastic Fractal Search for medical image segmentation: A COVID-19 case study.
Comput. Biol. Medicine, 2021
Evolving fuzzy k-nearest neighbors using an enhanced sine cosine algorithm: Case study of lupus nephritis.
Comput. Biol. Medicine, 2021
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine.
Comput. Biol. Medicine, 2021
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation.
Comput. Biol. Medicine, 2021
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation.
Comput. Biol. Medicine, 2021
IEEE Access, 2021
Diagnosing Coronavirus Disease 2019 (COVID-19): Efficient Harris Hawks-Inspired Fuzzy K-Nearest Neighbor Prediction Methods.
IEEE Access, 2021
IEEE Access, 2021
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study.
IEEE Access, 2021
A Principal Component Analysis-Boosted Dynamic Gaussian Mixture Clustering Model for Ignition Factors of Brazil's Rainforests.
IEEE Access, 2021
Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making.
IEEE Access, 2021
A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique.
IEEE Access, 2021
IEEE Access, 2021
2020
Predicting Coronary Atherosclerotic Heart Disease: An Extreme Learning Machine with Improved Salp Swarm Algorithm.
Symmetry, 2020
An enhanced associative learning-based exploratory whale optimizer for global optimization.
Neural Comput. Appl., 2020
Math. Comput. Simul., 2020
Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis.
Knowl. Based Syst., 2020
Future Gener. Comput. Syst., 2020
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies.
Future Gener. Comput. Syst., 2020
Expert Syst. Appl., 2020
Advanced orthogonal moth flame optimization with Broyden-Fletcher-Goldfarb-Shanno algorithm: Framework and real-world problems.
Expert Syst. Appl., 2020
Expert Syst. Appl., 2020
Expert Syst. Appl., 2020
Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis.
Expert Syst. Appl., 2020
Expert Syst. Appl., 2020
Efficient multi-population outpost fruit fly-driven optimizers: Framework and advances in support vector machines.
Expert Syst. Appl., 2020
Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies.
Expert Syst. Appl., 2020
An Adaptive Chaotic Sine Cosine Algorithm for Constrained and Unconstrained Optimization.
Complex., 2020
An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme.
Complex., 2020
Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis.
Appl. Soft Comput., 2020
An enhanced Bacterial Foraging Optimization and its application for training kernel extreme learning machine.
Appl. Soft Comput., 2020
A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems.
Appl. Math. Comput., 2020
Evaluation of Sino Foreign Cooperative Education Project Using Orthogonal Sine Cosine Optimized Kernel Extreme Learning Machine.
IEEE Access, 2020
Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer.
IEEE Access, 2020
Predicting Green Consumption Behaviors of Students Using Efficient Firefly Grey Wolf-Assisted K-Nearest Neighbor Classifiers.
IEEE Access, 2020
IEEE Access, 2020
Predicting Di-2-Ethylhexyl Phthalate Toxicity: Hybrid Integrated Harris Hawks Optimization With Support Vector Machines.
IEEE Access, 2020
Predicting Cervical Hyperextension Injury: A Covariance Guided Sine Cosine Support Vector Machine.
IEEE Access, 2020
Prediction Optimization of Cervical Hyperextension Injury: Kernel Extreme Learning Machines With Orthogonal Learning Butterfly Optimizer and Broyden- Fletcher-Goldfarb-Shanno Algorithms.
IEEE Access, 2020
IEEE Access, 2020
The Research on Covert Communication Model Based on Blockchain: A Case Study of Ethereum's Whisper Protocol.
Proceedings of the Frontiers in Cyber Security - Third International Conference, 2020
2019
Inf. Sci., 2019
Future Gener. Comput. Syst., 2019
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks.
Expert Syst. Appl., 2019
Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy.
Expert Syst. Appl., 2019
Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients.
Comput. Biol. Chem., 2019
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features.
BMC Bioinform., 2019
Efficient boosted grey wolf optimizers for global search and kernel extreme learning machine training.
Appl. Soft Comput., 2019
A New Evolutionary Machine Learning Approach for Identifying Pyrene Induced Hepatotoxicity and Renal Dysfunction in Rats.
IEEE Access, 2019
IEEE Access, 2019
A New Hybrid Machine Learning Approach for Prediction of Phenanthrene Toxicity on Mice.
IEEE Access, 2019
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.
Comput. Methods Programs Biomed., 2018
An Intelligent Parkinson's Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach.
Comput. Math. Methods 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
IEEE Access, 2018
Automatic Analysis of Microaneurysms Turnover to Diagnose the Progression of Diabetic Retinopathy.
IEEE Access, 2018
2017
A Framework for Bus Trajectory Extraction and Missing Data Recovery for Data Sampled from the Internet.
Sensors, 2017
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. Artif. Intell., 2017
Ultrasound-based differentiation of malignant and benign thyroid Nodules: An extreme learning machine approach.
Comput. Methods Programs Biomed., 2017
An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis.
Comput. Math. Methods Medicine, 2017
IEEE Access, 2017
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017
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
A novel kernel extreme learning machine algorithm based on self-adaptive artificial bee colony optimisation strategy.
Int. J. Syst. Sci., 2016
An efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson's disease.
Neurocomputing, 2016
Medical image classification using spatial adjacent histogram based on adaptive local binary patterns.
Comput. Biol. Medicine, 2016
An Efficient and Effective Automatic Recognition System for Online Recognition of Foreign Fibers in Cotton.
IEEE Access, 2016
Proceedings of the Fuzzy Systems and Data Mining II, 2016
2015
Multiple parameter control for ant colony optimization applied to feature selection problem.
Neural Comput. Appl., 2015
A fast approach for detection of erythemato-squamous diseases based on extreme learning machine with maximum relevance minimum redundancy feature selection.
Int. J. Syst. Sci., 2015
Comput. Electr. Eng., 2015
Comput. Biol. Medicine, 2015
Fruit Fly Optimization Algorithm Based SVM Classifier for Efficient Detection of Parkinson's Disease.
Proceedings of the Advances in Swarm and Computational Intelligence, 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
Comparative Study on Metaheuristic-Based Feature Selection for Cotton Foreign Fibers Recognition.
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015
2014
Soft Comput., 2014
Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine.
Neural Process. Lett., 2014
An Efficient Diagnosis System for Parkinson's Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach.
Comput. Math. Methods Medicine, 2014
Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton.
Appl. Soft Comput., 2014
Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy.
Appl. Math. Comput., 2014
A New Evolutionary Support Vector Machine with Application to Parkinson's Disease Diagnosis.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014
A Hybrid Extreme Learning Machine Approach for Early Diagnosis of Parkinson's Disease.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014
Proceedings of the 10th International Conference on Natural Computation, 2014
2013
Selection of interdependent genes via dynamic relevance analysis for cancer diagnosis.
J. Biomed. Informatics, 2013
J. Bioinform. Comput. Biol., 2013
An efficient diagnosis system for detection of Parkinson's disease using fuzzy k-nearest neighbor approach.
Expert Syst. Appl., 2013
Effective detection of Parkinson's disease using an adaptive fuzzy k-nearest neighbor approach.
Biomed. Signal Process. Control., 2013
2012
Pattern Recognit., 2012
Design of an Enhanced Fuzzy k-nearest Neighbor Classifier Based Computer Aided Diagnostic System for Thyroid Disease.
J. Medical Syst., 2012
A Computer Aided Diagnosis System for Thyroid Disease Using Extreme Learning Machine.
J. Medical Syst., 2012
Support Vector Machine Based Diagnostic System for Breast Cancer Using Swarm Intelligence.
J. Medical Syst., 2012
A Three-Stage Expert System Based on Support Vector Machines for Thyroid Disease Diagnosis.
J. Medical Syst., 2012
Neurocomputing, 2012
Proceedings of the Eighth International Conference on Natural Computation, 2012
Proceedings of the Eighth International Conference on Natural Computation, 2012
Proceedings of the Eighth International Conference on Natural Computation, 2012
2011
A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method.
Knowl. Based Syst., 2011
Neurocomputing, 2011
Neurocomputing, 2011
A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis.
Expert Syst. Appl., 2011
A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis.
Expert Syst. Appl., 2011
An Adaptive Fuzzy <i>k</i>-Nearest Neighbor Method Based on Parallel Particle Swarm Optimization for Bankruptcy Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011
Proceedings of the First Asian Conference on Pattern Recognition, 2011