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

[1]  Liang Rongyu,et al.  Improved Particle Swarm Optimization Based on Lévy Flights , 2020 .

[2]  Rui Yao,et al.  A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm , 2017, Soft Computing.

[3]  Ying Huang,et al.  Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients , 2019, Comput. Biol. Chem..

[4]  Xuehua Zhao,et al.  An improved grasshopper optimization algorithm with application to financial stress prediction , 2018, Applied Mathematical Modelling.

[5]  Jun Li,et al.  An Intelligent Parkinson's Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach , 2018, Comput. Math. Methods Medicine.

[6]  Robert G. Reynolds,et al.  A balanced fuzzy Cultural Algorithm with a modified Levy flight search for real parameter optimization , 2018, Inf. Sci..

[7]  Xiaoqin Zhang,et al.  Automatic Analysis of Microaneurysms Turnover to Diagnose the Progression of Diabetic Retinopathy , 2018, IEEE Access.

[8]  Rubén Urraca,et al.  Evaluation of a novel GA-based methodology for model structure selection: The GA-PARSIMONY , 2018, Neurocomputing.

[9]  Hui Huang,et al.  Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses , 2017, Neurocomputing.

[10]  Parham Pahlavani,et al.  An efficient modified grey wolf optimizer with Lévy flight for optimization tasks , 2017, Appl. Soft Comput..

[11]  Bo Li,et al.  Study on an improved adaptive PSO algorithm for solving multi-objective gate assignment , 2017, Applied Soft Computing.

[12]  Wu Deng,et al.  A novel collaborative optimization algorithm in solving complex optimization problems , 2016, Soft Computing.

[13]  Changfei Tong,et al.  An intelligent prognostic system for analyzing patients with paraquat poisoning using arterial blood gas indexes. , 2017, Journal of pharmacological and toxicological methods.

[14]  Qiang Li,et al.  An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis , 2017, Comput. Math. Methods Medicine.

[15]  Zhen Liu,et al.  A lévy flight-based shuffled frog-leaping algorithm and its applications for continuous optimization problems , 2016, Appl. Soft Comput..

[16]  Harish Sharma,et al.  Lévy flight artificial bee colony algorithm , 2016, Int. J. Syst. Sci..

[17]  G. Wiselin Jiji,et al.  An enhanced particle swarm optimization with levy flight for global optimization , 2016, Appl. Soft Comput..

[18]  Dayou Liu,et al.  Evolving support vector machines using fruit fly optimization for medical data classification , 2016, Knowl. Based Syst..

[19]  A. Jemal,et al.  Global cancer statistics, 2012 , 2015, CA: a cancer journal for clinicians.

[20]  Jihong Ouyang,et al.  An Efficient Diagnosis System for Parkinson's Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach , 2014, Comput. Math. Methods Medicine.

[21]  Xiaowei Yang,et al.  A GA-based feature selection and parameter optimization for linear support higher-order tensor machine , 2014, Neurocomputing.

[22]  Gang Wang,et al.  Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy , 2014, Appl. Math. Comput..

[23]  Liang Gao,et al.  An improved fruit fly optimization algorithm for continuous function optimization problems , 2014, Knowl. Based Syst..

[24]  Yılmaz Kaya,et al.  A new intelligent classifier for breast cancer diagnosis based on a rough set and extreme learning machine: RS + ELM , 2013 .

[25]  Shengyao Wang,et al.  A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem , 2013, Knowl. Based Syst..

[26]  Huiru Zhao,et al.  Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm , 2012 .

[27]  Gang Wang,et al.  A Three-Stage Expert System Based on Support Vector Machines for Thyroid Disease Diagnosis , 2012, Journal of Medical Systems.

[28]  Wen-Tsao Pan,et al.  A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example , 2012, Knowl. Based Syst..

[29]  Dayou Liu,et al.  A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis , 2011, Expert Syst. Appl..

[30]  Anant Madabhushi,et al.  A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[31]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[32]  Anant Madabhushi,et al.  Content-based image retrieval utilizing explicit shape descriptors: applications to breast MRI and prostate histopathology , 2011, Medical Imaging.

[33]  Metin Nafi Gürcan,et al.  Computerized classification of intraductal breast lesions using histopathological images , 2011, IEEE Transactions on Biomedical Engineering.

[34]  Manohar Kuse,et al.  A Classification Scheme for Lymphocyte Segmentation in H&E Stained Histology Images , 2010, ICPR Contests.

[35]  Xin-She Yang,et al.  Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[36]  A. Madabhushi,et al.  Histopathological Image Analysis: A Review , 2009, IEEE Reviews in Biomedical Engineering.

[37]  Mehmet Fatih Akay,et al.  Support vector machines combined with feature selection for breast cancer diagnosis , 2009, Expert Syst. Appl..

[38]  Ilias Maglogiannis,et al.  An intelligent system for automated breast cancer diagnosis and prognosis using SVM based classifiers , 2009, Applied Intelligence.

[39]  I. Pavlyukevich Lévy flights, non-local search and simulated annealing , 2007, J. Comput. Phys..

[40]  Ingoo Han,et al.  Hybrid genetic algorithms and support vector machines for bankruptcy prediction , 2006, Expert Syst. Appl..

[41]  Cheng-Lung Huang,et al.  A GA-based feature selection and parameters optimizationfor support vector machines , 2006, Expert Syst. Appl..

[42]  Constantin F. Aliferis,et al.  GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data , 2005, Int. J. Medical Informatics.

[43]  Steven Salzberg,et al.  On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach , 1997, Data Mining and Knowledge Discovery.

[44]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[45]  Huiling Chen,et al.  A New Evolutionary Machine Learning Approach for Identifying Pyrene Induced Hepatotoxicity and Renal Dysfunction in Rats , 2019, IEEE Access.

[46]  Xuehua Zhao,et al.  An Effective Machine Learning Approach for Identifying the Glyphosate Poisoning Status in Rats Using Blood Routine Test , 2018, IEEE Access.

[47]  Xianchuan Wang,et al.  A New Effective Machine Learning Framework for Sepsis Diagnosis , 2018, IEEE Access.

[48]  Hui Huang,et al.  Developing a new intelligent system for the diagnosis of tuberculous pleural effusion , 2018, Comput. Methods Programs Biomed..

[49]  Oscar Castillo,et al.  Cuckoo Search via Lévy Flights and a Comparison with Genetic Algorithms , 2015, Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics.

[50]  A. Jemal,et al.  Global cancer statistics , 2011, CA: a cancer journal for clinicians.