All Stories

  1. Comparison Support Vector Machines and K-Nearest Neighbors in Classifying Ischemic Stroke by Using Convolutional Neural Networks as a Feature Extraction

    Article • April 2021, ACM (Association for Computing Machinery)

    Dr Zuherman Rustam

  2. Stock price trend prediction method based on support vector machines with Fisher score

    Article • January 2020, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  3. Classification of Breast Cancer using Fast Fuzzy Clustering based on Kernel

    Article • IOP Conference Series Materials Science and Engineering, June 2019, Institute of Physics Publishing

    Dr Zuherman Rustam, Dr Zuherman Rustam

  4. Comparison between fuzzy robust kernel c-means (FRKCM) and fuzzy entropy kernel c-means (FEKCM) classifier for intrusion detection system (IDS)

    Article • IOP Conference Series Materials Science and Engineering, June 2019, Institute of Physics Publishing

    Dr Zuherman Rustam, Dr Zuherman Rustam

  5. Feature Selection using Random Forest Classifier for Predicting Prostate Cancer

    Article • IOP Conference Series Materials Science and Engineering, June 2019, Institute of Physics Publishing

    Dr Zuherman Rustam, Dr Zuherman Rustam

  6. Soft Tissue Tumor Classification using Stochastic Support Vector Machine

    Article • IOP Conference Series Materials Science and Engineering, June 2019, Institute of Physics Publishing

    Dr Zuherman Rustam, Dr Zuherman Rustam

  7. Support Vector Regression Implementation for Indonesian Private External Debt Analysis

    Article • European Journal of Electrical Engineering and Computer Science, May 2019, European Open Access Publishing (Europa Publishing)

    Dr Zuherman Rustam, Dr Zuherman Rustam

  8. Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces

    Article • Journal of Physics Conference Series, May 2019, Institute of Physics Publishing

    Dr Zuherman Rustam, Dr Zuherman Rustam

  9. Application of kernel spherical k-means for intrusion detection systems

    Article • Journal of Physics Conference Series, May 2019, Institute of Physics Publishing

    Dr Zuherman Rustam, Dr Zuherman Rustam

  10. Hybrid Preprocessing Method for Support Vector Machine for Classification of Imbalanced Cerebral Infarction Datasets

    Article • International Journal on Advanced Science Engineering and Information Technology, April 2019, Insight Society

    Dr Zuherman Rustam, Dr Zuherman Rustam

  11. Application of Support Vector Regression in Indonesian Stock Price Prediction with Feature Selection Using Particle Swarm Optimisation

    Article • Modelling and Simulation in Engineering, April 2019, Hindawi Publishing Corporation

    Dr Zuherman Rustam, Dr Zuherman Rustam

  12. Indonesia Composite Index Prediction using Fuzzy Support Vector Regression with Fisher Score Feature Selection

    Article • International Journal on Advanced Science Engineering and Information Technology, March 2019, Insight Society

    Dr Zuherman Rustam, Dr Zuherman Rustam

  13. Enhancement of hepatitis virus outcome predictions with application of K-means clustering

    Article • January 2019, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  14. Knee osteoarthritis classification using support vector machine AdaBoost and decision tree AdaBoost

    Article • January 2019, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  15. Multiclass classification of breast cancer large scale datasets for detecting cancer drivers

    Article • January 2019, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  16. Forecasting the direction of Indonesia’s consumer goods sector stock price movement using Fuzzy Kernel Robust C-Means

    Article • January 2019, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  17. Gene selection in cancer classification using hybrid method based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) feature selection and support vector machine

    Article • January 2019, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  18. Optimal cervical cancer classification using Gauss-Newton representation based algorithm

    Article • January 2019, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  19. Ovarian cancer data classification using bagging and random forest

    Article • January 2019, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  20. Comparison between stochastic support vector machine (stochastic SVM) and Fuzzy Kernel Robust C-Means (FKRCM) in breast cancer classification

    Article • January 2019, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  21. Osteoarthritis Disease Prediction Based on Random Forest

    Article • October 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Zuherman Rustam, Dr Zuherman Rustam

  22. Fuzzy Kernel Robust Clustering for Anomaly based Intrusion Detection

    Article • October 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Zuherman Rustam, Dr Zuherman Rustam

  23. Cervical Cancer Risk Classification Based on Deep Convolutional Neural Network

    Article • September 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Zuherman Rustam, Dr Zuherman Rustam

  24. Clustering Arrhythmia Multiclass Using Fuzzy Robust Kernel C-Means (FRKCM)

    Article • September 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Zuherman Rustam, Dr Zuherman Rustam

  25. Comparison between Fuzzy Kernel C-Means and Sparse Learning Fuzzy C-Means for Breast Cancer Clustering

    Article • September 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Zuherman Rustam, Dr Zuherman Rustam

  26. Insolvency Prediction in Insurance Companies Using Support Vector Machines and Fuzzy Kernel C-Means

    Article • Journal of Physics Conference Series, June 2018, Institute of Physics Publishing

    Dr Zuherman Rustam, Dr Zuherman Rustam

  27. Comparison between Support Vector Machine and Fuzzy C-Means as Classifier for Intrusion Detection System

    Article • Journal of Physics Conference Series, June 2018, Institute of Physics Publishing

    Dr Zuherman Rustam, Dr Zuherman Rustam

  28. Support Vector Machines for Classifying Policyholders Satisfactorily in Automobile Insurance

    Article • Journal of Physics Conference Series, June 2018, Institute of Physics Publishing

    Dr Zuherman Rustam, Dr Zuherman Rustam

  29. Predicting Bank Financial Failures using Random Forest

    Article • May 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Zuherman Rustam, Dr Zuherman Rustam

  30. An Optimal Schedule for Toll Road Network Construction Based on Greedy Algorithm

    Article • January 2018, Atlantis Press

    Dr Zuherman Rustam, Dr Zuherman Rustam

  31. Comparison between support vector machine and fuzzy Kernel C-Means as classifiers for intrusion detection system using chi-square feature selection

    Article • January 2018, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  32. Comparison of fuzzy robust Kernel C-Means and support vector machines for intrusion detection systems using modified kernel nearest neighbor feature selection

    Article • January 2018, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  33. Predicting the Jakarta composite index price using ANFIS and classifying prediction result based on relative error by fuzzy Kernel C-Means

    Article • January 2018, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  34. Predicting the direction of Indonesian stock price movement using support vector machines and fuzzy Kernel C-Means

    Article • January 2018, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  35. Fuzzy Kernel k-Medoids algorithm for anomaly detection problems

    Article • January 2017, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  36. 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

    Article • January 2017, American Institute of Physics

    Dr Zuherman Rustam, Dr Zuherman Rustam

  37. Cancer classification using Fuzzy C-Means with feature selection

    Article • October 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Zuherman Rustam, Dr Zuherman Rustam

  38. Application Kernel Modified Fuzzy C-Means for gliomatosis cerebri

    Article • October 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Zuherman Rustam, Dr Zuherman Rustam

  39. PENDETEKSIAN JENIS DAN KELAS AROMA DENGAN MENGGUNAKAN METODE ONE-VS-ONE DAN METODE ONE-VS-REST

    Article • MAKARA of Science Series, October 2010, Universitas Indonesia, Directorate of Research and Public Service

    Dr Zuherman Rustam, Dr Zuherman Rustam