Muhammad Ghazy
Klasifikasi Penyakit Tanaman Padi Menggunakan Ekstraksi Fitur Haralick pada Gray Level Co-occurrence Matrix Dan Metode Klasifikasi Support Vector Machine = Classification Of Rice Diseases Using Haralick Feature Extraction On Gray Level Co-occurrence Matrix And Support Vector Machine Classification Method
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2022
 UI - Skripsi Membership
Putri Utami
Sistem pengklasifikasian kanker payudara berbasis ciri gray level co occurrence matrix glcm dan discrete wavelet transform dwt menggunakan support vector machine svm = Breast cancer classification system based on gray level co occurrence matrix glcm and discrete wavelet transform dwt features using support vector machine svm
2015
 UI - Tesis Membership
Reyhan Eddy Yunus
Pengembangan Model Kecerdasan Buatan Pembelajaran Mesin untuk Prediksi Keberhasilan Terapi Trombolisis Intravena pada Stroke Iskemik Hiperakut Sirkulasi Anterior dengan Menggunakan CT Scan Otak, Data Klinis, dan Laboratorium Darah = Development of Artificial Intellegence-Machine Learning Model for Hyperacute Ischemic Stroke Prognostication in Patients Treated with Thrombolysis using Brain CT Scan, Clinical Data, and Laboratory Values
Fakultas Kedokteran Universitas Indonesia, 2024
 UI - Disertasi Membership
Filzahanti Nuha Ramadhani
Deteksi Hypertensive Retinopathy Menggunakan Local Binary Pattern dan Support Vector Machine = Detection of Hypertensive Retinopathy Using Local Binary Pattern and Support Vector Machine
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2021
 UI - Skripsi Membership
Theresia Veronika Rampisela
Klasifikasi data skizofrenia dengan support vector machines dan twin support vector machines = Classification of schizophrenia data using support vector machines and twin support vector machines
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2018
 UI - Skripsi Membership