Santi Wulan Purnami - researchr alias

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Viewing Publication 1 - 14 from 14

2024

YOLO-UNet Architecture for Detecting and Segmenting the Localized MRI Brain Tumor ImageNur Iriawan, Anindya Apriliyanti Pravitasari, Ulfa S. Nuraini, Nur I. Nirmalasari, Taufik Azmi, Muhammad Nasrudin, Adam F. Fandisyah, Kartika Fithriasari, Santi Wulan Purnami, Irhamah, Widiana Ferriastuti. acisc, 2024, 2024. [doi]

2021

Entropy-Based Fuzzy Weighted Logistic Regression for Classifying Imbalanced DataAjiwasesa Harumeka, Santi Wulan Purnami, Santi Puteri Rahayu. scds 2021: 312-327 [doi]

The Effect of Cancers Treatment in Quality of Life of the Patient: Meta-analysis ApproachSanti Wulan Purnami, Prilyandari Dina Saputri, Bambang Widjanarko Otok. scds 2021: 341-350 [doi]

Survival Analysis of Diabetes Mellitus Patients Using Semiparametric ApproachJerry Dwi Trijoyo Purnomo, Santi Wulan Purnami, Febry Hilmi Anshori, Albertus Kurnia Lantika. scds 2021: 381-394 [doi]

2020

A Prediction of Rainfall Data Based On Support Vector Machine With Stochastic Gradient DescentDian Puspita Hapsari, Mohammad Imam Utoyo, Santi Wulan Purnami. iicst 2020: 70-75 [doi]

2019

B-Spline in the Cox Regression with Application to Cervical CancerJerry Dwi Trijoyo Purnomo, Santi Wulan Purnami, Sri Mulyani. scds 2019: 159-168 [doi]

2018

Simulation Study of Feature Selection on Survival Least Square Support Vector Machines with Application to Health DataDedy Dwi Prastyo, Halwa Annisa Khoiri, Santi Wulan Purnami, Suhartono, Soo-Fen Fam. scds 2019: 34-45 [doi]

Boosting Support Vector Machines for Imbalanced Microarray DataRisky Frasetio Wahyu Pratama, Santi Wulan Purnami, Santi Puteri Rahayu. inns 2018: 174-183 [doi]

2017

SMOTE-Least Square Support Vector Machine for Classification of Multiclass Imbalanced DataSanti Wulan Purnami, Rani Kemala Trapsilasiwi. icmlc2 2017: 107-111 [doi]

On Selecting Features for Binary Classification in Microarray Data AnalysesSanti Wulan Purnami, Shofi Andari, Afifah W. Rusydiana. icmlc2 2017: 133-136 [doi]

2011

Reduced Support Vector Machine Based on k-Mode Clustering for Classification Large Categorical DatasetSanti Wulan Purnami, Jasni Mohamad Zain, Abdullah Embong. icsecs 2011: 694-702 [doi]

2010

A New Expert System for Diabetes Disease Diagnosis Using Modified Spline Smooth Support Vector MachineSanti Wulan Purnami, Jasni Mohamad Zain, Abdullah Embong. iccsa 2010: 83-92 [doi]

Data Mining Technique for Medical Diagnosis Using a New Smooth Support Vector MachineSanti Wulan Purnami, Jasni Mohamad Zain, Abdullah Embong. mindtrek 2010: 15-27 [doi]

Credit risk classification using Kernel Logistic Regression with optimal parameterSanti P. Rahayu, Jasni Mohamad Zain, Abdullah Embong, Santi Wulan Purnami. isspa 2010: 602-605 [doi]

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