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ORCIDSanti Wulan Purnami
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2020 – today
- 2024
[j1]Nur 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:
YOLO-UNet Architecture for Detecting and Segmenting the Localized MRI Brain Tumor Image. Appl. Comput. Intell. Soft Comput. 2024: 3819801:1-3819801:14 (2024)- [c14]Duhania Oktasya Mahara, Santi Wulan Purnami, Shofi Andari:
Copula-based Cox Regression to Modelling Bivariate Time-to-Event Data. ICMLC 2024: 658-664 - 2021
- [c13]Ajiwasesa Harumeka, Santi Wulan Purnami, Santi Puteri Rahayu:
Entropy-Based Fuzzy Weighted Logistic Regression for Classifying Imbalanced Data. SCDS 2021: 312-327 - [c12]Santi Wulan Purnami, Prilyandari Dina Saputri, Bambang Widjanarko Otok:
The Effect of Cancers Treatment in Quality of Life of the Patient: Meta-analysis Approach. SCDS 2021: 341-350 - [c11]Jerry Dwi Trijoyo Purnomo, Santi Wulan Purnami, Febry Hilmi Anshori, Albertus Kurnia Lantika:
Survival Analysis of Diabetes Mellitus Patients Using Semiparametric Approach. SCDS 2021: 381-394 - 2020
- [c10]Dian Puspita Hapsari, Mohammad Imam Utoyo, Santi Wulan Purnami:
A Prediction of Rainfall Data Based On Support Vector Machine With Stochastic Gradient Descent. IICST 2020: 70-75
2010 – 2019
- 2019
- [c9]Jerry Dwi Trijoyo Purnomo, Santi Wulan Purnami, Sri Mulyani:
B-Spline in the Cox Regression with Application to Cervical Cancer. SCDS 2019: 159-168 - 2018
- [c8]Risky Frasetio Wahyu Pratama, Santi Wulan Purnami, Santi Puteri Rahayu:
Boosting Support Vector Machines for Imbalanced Microarray Data. INNS Conference on Big Data 2018: 174-183 - [c7]Dedy Dwi Prastyo, Halwa Annisa Khoiri, Santi Wulan Purnami, Suhartono, Soo-Fen Fam:
Simulation Study of Feature Selection on Survival Least Square Support Vector Machines with Application to Health Data. SCDS 2018: 34-45 - 2017
- [c6]Santi Wulan Purnami, Rani Kemala Trapsilasiwi:
SMOTE-Least Square Support Vector Machine for Classification of Multiclass Imbalanced Data. ICMLC 2017: 107-111 - [c5]Santi Wulan Purnami, Shofi Andari, Afifah W. Rusydiana:
On Selecting Features for Binary Classification in Microarray Data Analyses. ICMLC 2017: 133-136 - 2011
- [c4]Santi Wulan Purnami, Jasni Mohamad Zain, Abdullah Embong:
Reduced Support Vector Machine Based on k-Mode Clustering for Classification Large Categorical Dataset. ICSECS (2) 2011: 694-702 - 2010
- [c3]Santi Wulan Purnami, Jasni Mohamad Zain, Abdullah Embong:
A New Expert System for Diabetes Disease Diagnosis Using Modified Spline Smooth Support Vector Machine. ICCSA (4) 2010: 83-92 - [c2]Santi P. Rahayu, Jasni Mohamad Zain, Abdullah Embong, Santi Wulan Purnami:
Credit risk classification using Kernel Logistic Regression with optimal parameter. ISSPA 2010: 602-605 - [c1]Santi Wulan Purnami, Jasni Mohamad Zain, Abdullah Embong:
Data Mining Technique for Medical Diagnosis Using a New Smooth Support Vector Machine. NDT (2) 2010: 15-27
Coauthor Index
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last updated on 2024-06-19 21:55 CEST by the dblp team
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