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Santi Wulan Purnami
Santi Wulan Purnami
Department of Statistics, Institut Teknologi Sepuluh Nopember
Verified email at statistika.its.ac.id
Title
Cited by
Cited by
Year
A new smooth support vector machine and its applications in diabetes disease diagnosis
SW Purnami, A Embong, JM Zain, SP Rahayu
Journal of Computer Science 5 (12), 1003, 2009
682009
Analisis Diagnosis Pasien Kanker Payudara Menggunakan Regresi Logistik dan Support Vector Machine (SVM) Berdasarkan Hasil Mamografi Fourina Ayu Novianti dan Santi Wulan Purnami
FA Novianti, SW Purnami
Jurnal Sains dan Seni ITS 1 (1), D147-D152, 2012
522012
Combine sampling support vector machine for imbalanced data classification
H Sain, SW Purnami
Procedia Computer Science 72, 59-66, 2015
492015
Perbandingan klasifikasi tingkat keganasan breast cancer dengan menggunakan regresi logistik ordinal dan support vector machine (SVM)
F Rachman, SW Purnami
Jurnal sains dan seni ITS 1 (1), D130-D135, 2012
492012
UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation
AA Pravitasari, N Iriawan, M Almuhayar, T Azmi, I Irhamah, K Fithriasari, ...
TELKOMNIKA (Telecommunication Computing Electronics and Control) 18 (3 …, 2020
292020
Feature selection and classification of breast cancer diagnosis based on support vector machines
SW Purnami, SP Rahayu, A Embong
2008 International Symposium on Information Technology 1, 1-6, 2008
262008
Combined estimator Fourier series and spline truncated in multivariable nonparametric regression
IW Sudiarsa, IN Budiantara, SW Purnami
Applied Mathematical Sciences 9 (100), 4997-5010, 2015
252015
Penggunaan metode classification and regression trees (CART) untuk klasifikasi rekurensi pasien kanker serviks di RSUD Dr. Soetomo Surabaya
SH Sumartini
Institut Teknologi Sepuluh Nopember, 2015
172015
Applying kernel logistic regression in data mining to classify credit risk
SP Rahayu, SW Purnami, A Embong
2008 International Symposium on Information Technology 2, 1-6, 2008
172008
Pemodelan angka prevalensi kusta dan faktor-faktor yang mempengaruhi di Jawa Timur dengan pendekatan Geographically Weighted Regression (GWR)
AM Dzikrina, SW Purnami
Jurnal Sains dan Seni ITS 2 (2), D275-D281, 2013
162013
A new expert system for diabetes disease diagnosis using modified spline smooth support vector machine
SW Purnami, JM Zain, A Embong
International Conference on Computational Science and Its Applications, 83-92, 2010
152010
An alternative algorithm for classification large categorical dataset: k-mode clustering reduced support vector machine
SW Purnami, JM Zain, T Heriawan
International Journal of Database Theory and Application 4 (1), 19-30, 2011
142011
Perbandingan reduced support vector machine dan smooth support vector machine untuk klasifikasi large data
E Suryanto, SW Purnami
Jurnal sains dan seni ITS 4 (1), D25-D30, 2015
132015
Pemodelan Faktor-Faktor Yang Mempengaruhi Jumlah Kematian Ibu Di Jatim Dengan Pendekatan GWPR (Geographically Weighted Poisson Regression)
N Qomariyah, SW Purnami, S Purnomo
Jurnal Sains dan Seni ITS 2 (2), D311-D316, 2013
132013
Data mining technique for medical diagnosis using a new smooth support vector machine
SW Purnami, JM Zain, A Embong
International Conference on Networked Digital Technologies, 15-27, 2010
132010
Parameter estimation of geographically weigthed multivariate poisson regression
BWO Purhadi, SW Purnami
Appl. Math. Sci 9, 4081-4093, 2015
122015
Comparative study of brain tumor segmentation using different segmentation techniques in handling noise
N Iriawan, AA Pravitasari, K Fithriasari, SW Purnami, W Ferriastuti
2018 International Conference on Computer Engineering, Network and …, 2018
102018
Additive survival least square support vector machines: A simulation study and its application to cervical cancer prediction
C Khotimah, SW Purnami, DD Prastyo, V Chosuvivatwong, H Sriplung
AIP Conference Proceedings 1905 (1), 050024, 2017
102017
Uji Proportional Hazard pada Data Penderita Kanker Serviks di RSUD dr. Soetomo Surabaya
AN Afifah, SW Purnami
Jurnal Sains dan Seni ITS 5 (1), D109-D114, 2016
102016
Smooth support vector machine for face recognition using principal component analysis
M Furqan, A Embong, S Awang, SW Purnami, S Sembiring
102009
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