All Stories

  1. Cerebral infarction classification using multiple support vector machine with information gain feature selection
  2. New feature selection based on kernel
  3. Prediction schizophrenia using random forest
  4. Pulmonary rontgen classification to detect pneumonia disease using convolutional neural networks
  5. The comparison study of kernel KC-means and support vector machines for classifying schizophrenia
  6. Pancreatic Cancer Early Detection Using Twin Support Vector Machine Based on Kernel
  7. Comparing random forest and support vector machines for breast cancer classification
  8. Stock price trend prediction method based on support vector machines with Fisher score
  9. Comparison Between Fuzzy Kernel C-Means, Fuzzy Kernel Possibilistic C-Means and Support Vector Machines in Soft Tissue Tumor Classification
  10. Comparison of Modified Hierarchical Clustering Based on Density Peaks Using Kernel Function with Support Vector Machines in the Classification of Sinusitis
  11. Comparison of Support Vector Machine Recursive Feature Elimination and Kernel Function as feature selection using Support Vector Machine for lung cancer classification
  12. Fuzzy Kernel-Based Clustering and Support Vector Machine Algorithm in Analyzing Cerebral Infarction Dataset
  13. Intrusion detection system model using Fuzzy Kernel C-Means and Laplacian Score feature selection
  14. Kernel-Based Fuzzy Clustering for Sinusitis Dataset
  15. Comparison Support Vector Machine and Fuzzy Possibilistic C-Means based on the kernel for Knee Osteoarthritis data Classification
  16. Hierarchical Clustering Algorithm Based on Density Peaks using Kernel Function for Thalassemia Classification
  17. Multinomial Logistic Regression and Support Vector Machine for Osteoarthritis Classification
  18. The Global Kernel k-means Clustering Algorithm for Cerebral Infarction Classification
  19. Classification of Breast Cancer using Fast Fuzzy Clustering based on Kernel
  20. Comparison between fuzzy robust kernel c-means (FRKCM) and fuzzy entropy kernel c-means (FEKCM) classifier for intrusion detection system (IDS)
  21. Comparison of Cubic SVM with Gaussian SVM: Classification of Infarction for detecting Ischemic Stroke
  22. Feature Selection using Random Forest Classifier for Predicting Prostate Cancer
  23. Forecasting the Amount of Pneumonia Patients in Jakarta with Weighted High Order Fuzzy Time Series
  24. Kernel Based Fuzzy C-Means Clustering for Chronic Sinusitis Classification
  25. Kernel Spherical K-Means and Support Vector Machine for Acute Sinusitis Classification
  26. Learning Vector Quantization for Diabetes Data Classification with Chi-Square Feature Selection
  27. Naïve Bayes Classifier Models for Predicting the Colon Cancer
  28. Ovarian Cancer Classification using Bayesian Logistic Regression
  29. Possibilistics C-Means (PCM) Algorithm for the Hepatocellular Carcinoma (HCC) Classification
  30. Random-Forest (RF) and Support Vector Machine (SVM) Implementation for Analysis of Gene Expression Data in Chronic Kidney Disease (CKD)
  31. Recursive Particle Swarm Optimization (RPSO) schemed Support Vector Machine (SVM) Implementation for Microarray Data Analysis on Chronic Kidney Disease (CKD)
  32. Soft Tissue Tumor Classification using Stochastic Support Vector Machine
  33. Support Vector Regression Implementation for Indonesian Private External Debt Analysis
  34. Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces
  35. Application of kernel spherical k-means for intrusion detection systems
  36. Hybrid Preprocessing Method for Support Vector Machine for Classification of Imbalanced Cerebral Infarction Datasets
  37. Application of Support Vector Regression in Indonesian Stock Price Prediction with Feature Selection Using Particle Swarm Optimisation
  38. Indonesia Composite Index Prediction using Fuzzy Support Vector Regression with Fisher Score Feature Selection
  39. Enhancement of hepatitis virus outcome predictions with application of K-means clustering
  40. Knee osteoarthritis classification using support vector machine AdaBoost and decision tree AdaBoost
  41. Multiclass classification of breast cancer large scale datasets for detecting cancer drivers
  42. Forecasting the direction of Indonesia’s consumer goods sector stock price movement using Fuzzy Kernel Robust C-Means
  43. Gene selection in cancer classification using hybrid method based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) feature selection and support vector machine
  44. Random forest for breast cancer prediction
  45. Optimal cervical cancer classification using Gauss-Newton representation based algorithm
  46. Ovarian cancer data classification using bagging and random forest
  47. Comparison between stochastic support vector machine (stochastic SVM) and Fuzzy Kernel Robust C-Means (FKRCM) in breast cancer classification
  48. Application of Support Vector Machines in Evaluating the Internationalization Success of Companies
  49. Application Support Vector Machine on Face Recognition for Gender Classification
  50. Classification of Osteoarthritis Disease Severity Using Adaboost Support Vector Machines
  51. Classification of Schizophrenia Data Using Support Vector Machine (SVM)
  52. Comparison of SVM and FSVM for predicting bank failures using chi-square feature selection
  53. Face Recognition to Identify Look-Alike Faces using Support Vector Machine
  54. Face recognition using fuzzy kernel learning vector quantization
  55. Fuzzy Support Vector Machines based on Adaptive Particle Swarm Optimization for Credit Risk Analysis
  56. Support Vector Machine with Fisher Score Feature Selection to Predict Disease-Resistant Gene in Rice
  57. Osteoarthritis Disease Prediction Based on Random Forest
  58. Fuzzy Kernel Robust Clustering for Anomaly based Intrusion Detection
  59. Cervical Cancer Risk Classification Based on Deep Convolutional Neural Network
  60. Clustering Arrhythmia Multiclass Using Fuzzy Robust Kernel C-Means (FRKCM)
  61. Comparison between Fuzzy Kernel C-Means and Sparse Learning Fuzzy C-Means for Breast Cancer Clustering
  62. Insolvency Prediction in Insurance Companies Using Support Vector Machines and Fuzzy Kernel C-Means
  63. Comparison between Support Vector Machine and Fuzzy C-Means as Classifier for Intrusion Detection System
  64. Support Vector Machines for Classifying Policyholders Satisfactorily in Automobile Insurance
  65. Predicting Bank Financial Failures using Random Forest
  66. An Optimal Schedule for Toll Road Network Construction Based on Greedy Algorithm
  67. The Application of Multi-Class Support Vector Machines on Intrusion Detection System with the Feature Selection using Information Gain
  68. Application of SVM-KNN using SVR as feature selection on stock analysis for Indonesia stock exchange
  69. Application of support vector machines for reject inference in credit scoring
  70. Classification of cancer data based on support vectors machines with feature selection using genetic algorithm and Laplacian score
  71. Classification of cancer data using support vector machines with features selection method based on global artificial bee colony
  72. Comparison between support vector machine and fuzzy Kernel C-Means as classifiers for intrusion detection system using chi-square feature selection
  73. Comparison of fuzzy robust Kernel C-Means and support vector machines for intrusion detection systems using modified kernel nearest neighbor feature selection
  74. Correlated based SVM-RFE as feature selection for cancer classification using microarray databases
  75. Multiclass classification on brain cancer with multiple support vector machine and feature selection based on kernel function
  76. Predicting the Jakarta composite index price using ANFIS and classifying prediction result based on relative error by fuzzy Kernel C-Means
  77. Predicting the direction of Indonesian stock price movement using support vector machines and fuzzy Kernel C-Means
  78. A fuzzy logic model to forecast stock market momentum in Indonesia’s property and real estate sector
  79. Application of machine learning on brain cancer multiclass classification
  80. Fuzzy Kernel k-Medoids algorithm for anomaly detection problems
  81. Normed kernel function-based fuzzy possibilistic C-means (NKFPCM) algorithm for high-dimensional breast cancer database classification with feature selection is based on Laplacian Score
  82. Cancer classification using Fuzzy C-Means with feature selection
  83. Application Kernel Modified Fuzzy C-Means for gliomatosis cerebri
  84. PENDETEKSIAN JENIS DAN KELAS AROMA DENGAN MENGGUNAKAN METODE ONE-VS-ONE DAN METODE ONE-VS-REST