Santi Wulan Purnami

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How SVM Can Compensate Logit Based Response Label with Various Characteristics in Predictor? A Simulation Study

Mohammad Alfan Alfian Riyadi, Dedy Dwi Prastyo, Santi Wulan Purnami, 2018, 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE).

Model Evaluation for Logistic Regression and Support Vector Machines in Diabetes Problem

Santi Wulan Purnami, Baiq Siska Febriani Astuti, Neni Alya Firdausanti, 2018 .

Santi Wulan Purnami, Dwi Rantini, Rosyida Inas, 2019 .

Feature selection and classification of breast cancer diagnosis based on support vector machines

Santi Wulan Purnami, Abdullah Embong, S.P. Rahayu, 2008, 2008 International Symposium on Information Technology.

Support vector machine for imbalanced microarray dataset classification using ant colony optimization and genetic algorithm

Santi Wulan Purnami, Heri Kuswanto, Irhamah, 2019, THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION.

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Santi Wulan Purnami, Jasni Mohamad Zain, Abdullah Embong, 1995 .

An alternative algorithm for classification large categorical dataset: k-mode clustering reduced support vector machine

Santi Wulan Purnami, Jasni Mohamad Zain, Tutut Heriawan, 2011 .

Epileptic Seizure Detection Based on Bandwidth Features of EEG Signals

Santi Wulan Purnami, Yoyon K. Suprapto, Diah Puspito Wulandari, 2019, Procedia Computer Science.

Comparative study of Brain Tumor Segmentation using Different Segmentation Techniques in Handling Noise

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2018, 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM).

Simulation Study of Feature Selection on Survival Least Square Support Vector Machines with Application to Health Data

Dedy Dwi Prastyo, Santi Wulan Purnami, Suhartono, 2018, SCDS.

Comparison of e-insentive support vector regression and v-support vector regression in nonlinear regression problem

Santi Wulan Purnami, Veni Freista Hustianda, Sutikno Sutikno, 2016 .

Bayesian spatially constrained Fernandez-Steel Skew Normal Mixture model for MRI-based brain tumor segmentation

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2019, THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION.

Gaussian Mixture Model for MRIImage Segmentation to Build a Three-Dimensional Image on Brain Tumor Area

Santi Wulan Purnami, Irhamah Irhamah, Nur Iriawan, 2020 .

ESTIMASI FUNGSI MEAN DATA PANEL COUNT DENGAN PSEUDOLIKELIHOOD SEMIPARAMETRIK

Santi Wulan Purnami, Wahyu Wibowo, 2008 .

Slump Flow Modeling of Self-Compacting Concrete Using Smooth Support Vector Regression (SSVR)

Santi Wulan Purnami, Yoyok Setyo Hadiwidodo, 2014 .

On Selecting Features for Binary Classification in Microarray Data Analyses

Santi Wulan Purnami, S. W. Purnami, Shofi Andari, 2017, ICMLC.

Text Categorization with Fractional Gradient Descent Support Vector Machine

Santi Wulan Purnami, Dian Puspita Hapsari, Imam Utoyo, 2020 .

Reduced Support Vector Machine Based on k-Mode Clustering for Classification Large Categorical Dataset

Santi Wulan Purnami, Jasni Mohamad Zain, Abdullah Embong, 2011, ICSECS.

Data Mining Technique for Medical Diagnosis Using a New Smooth Support Vector Machine

Santi Wulan Purnami, Jasni Mohamad Zain, Abdullah Embong, 2010, NDT.

Boosting Support Vector Machines for Imbalanced Microarray Data

Santi Wulan Purnami, Santi Puteri Rahayu, S. W. Purnami, 2018, INNS Conference on Big Data.

Mixture model for image segmentation using Gaussian, Student’s t, and Laplacian distribution with spatial dependence

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2019, THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION.

MRI-based brain tumor segmentation using Gaussian mixture model with reversible jump Markov chain Monte Carlo algorithm

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2019, THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION.

Face regocnition using smooth support vector machine based on eigenfaces

Suryanti Awang, Santi Wulan Purnami, Abdullah Embong, 2009 .

A Bayesian Neo-Normal Mixture Model (Nenomimo) for MRI-Based Brain Tumor Segmentation

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2020, Applied Sciences.

Fractional Gradient Descent Optimizer for Linear Classifier Support Vector Machine

Santi Wulan Purnami, Dian Puspita Hapsari, S. W. Purnami, 2020, 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE).

A Prediction of Rainfall Data Based On Support Vector Machine With Stochastic Gradient Descent

Santi Wulan Purnami, Dian Puspita Hapsari, Mohammad Imam Utoyo, 2020, IICST.

High-Dimensional Data Classification Based on Smooth Support Vector Machines

Santi Wulan Purnami, Shofi Andari, Yuniati Dian Pertiwi, 2015 .

A New Expert System for Diabetes Disease Diagnosis Using Modified Spline Smooth Support Vector Machine

Santi Wulan Purnami, Jasni Mohamad Zain, Abdullah Embong, 2010, ICCSA.

Unconstrained optimization based fractional order derivative for data classification

Santi Wulan Purnami, Dian Puspita Hapsari, S. W. Purnami, 2020, Journal of Physics: Conference Series.

SMOTE-Least Square Support Vector Machine for Classification of Multiclass Imbalanced Data

Santi Wulan Purnami, Rani Kemala Trapsilasiwi, 2017, ICMLC.

B-Spline in the Cox Regression with Application to Cervical Cancer

Santi Wulan Purnami, Jerry Dwi Trijoyo Purnomo, S. W. Purnami, 2019, SCDS.

Text Categorization with Fractional Gradient Descent Support Vector Machine

Santi Wulan Purnami, Dian Puspita Hapsari, S. W. Purnami, 2020, Journal of Physics: Conference Series.

Smooth support vector machine for face recognition using principal component analysis

Suryanti Awang, Santi Wulan Purnami, Abdullah Embong, 2009 .

Fuzzy support vector machine for microarray imbalanced data classification

Santi Wulan Purnami, Irhamah, S. W. Purnami, 2017 .

A simulation study and application of feature selection on survival least square support vector machines

Dedy Dwi Prastyo, Santi Wulan Purnami, Halwa Annisa Khoiri, 2019, THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019).

Combine Sampling Support Vector Machine for Imbalanced Data Classification

Santi Wulan Purnami, S. W. Purnami, Hartayuni Sain, 2015 .

Credit risk classification using Kernel Logistic Regression with optimal parameter

Santi Wulan Purnami, Jasni Mohamad Zain, Abdullah Embong, 2010, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).

Klasifikasi Rumah Tangga Miskin di Kabupaten Jombang Berdasarkan Faktor-faktor yang Mempengaruhi dengan Pendekatan CART (Classification And Regression Trees)

Santi Wulan Purnami, Bambang Widjanarko Otok, Riza Inayah, 2014 .

Survival Support Vector Machines: A Simulation Study and Its Health-Related Application

Dedy Dwi Prastyo, Santi Wulan Purnami, Suhartono, 2019, Unsupervised and Semi-Supervised Learning.

UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation

Santi Wulan Purnami, Irhamah Irhamah, Nur Iriawan, 2020, TELKOMNIKA (Telecommunication Computing Electronics and Control).

Bayesian spatial survival models for HIV/AIDS event processes in East Java

Santi Wulan Purnami, Nur Iriawan, S. W. Purnami, 2018 .

Reduced Support Vector Machine One against One for Multiclass Large Data

Santi Wulan Purnami, Yuniati Dian Pertiwi, 2015 .

Classify Epileptic EEG Signals Using Extreme Support Vector Machine for Ictal and Muscle Artifact Detection

Santi Wulan Purnami, Baiq Siska Febriani Astuti, Diah Puspito Wulandari, 2021 .

Support Vector Machine optimization with fractional gradient descent for data classification

Santi Wulan Purnami, S. W. Purnami, Imam Utoyo, 2021 .

Least Square Support Vector Machine for Interictal Detection Based on EEG of Epilepsy Patients at Airlangga University Hospital Surabaya-Indonesia

Santi Wulan Purnami, Wardah Rahmatul Islamiyah, Diah P. Wulandari, 2021, Trends in Data Engineering Methods for Intelligent Systems.

Unsupervised Learning for MRI Brain Tumor Segmentation with Spatially Variant Finite Mixture Model in Reversible Jump MCMC Algorithm

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2021, Journal of Physics: Conference Series.

Bayesian MSTBurr mixture model in the construction of 3D-MRI brain tumor images

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2021 .

Survival analysis of cervical cancer using stratified Cox regression

Santi Wulan Purnami, Hutcha Sriplung, S. W. Purnami, 2016 .

Cervical cancer survival prediction using hybrid of SMOTE, CART and smooth support vector machine

Santi Wulan Purnami, Hutcha Sriplung, S. W. Purnami, 2016 .

Additive survival least square support vector machines and feature selection on health data in Indonesia

Dedy Dwi Prastyo, Santi Wulan Purnami, S. W. Purnami, 2018, 2018 International Conference on Information and Communications Technology (ICOIACT).

Additive survival least square support vector machines: A simulation study and its application to cervical cancer prediction

Dedy Dwi Prastyo, Santi Wulan Purnami, Hutcha Sriplung, 2017 .