Umi Mahdiyah
Study comparison backpropogation, support vector machine, and extreme learning machine for bioinformatics data
Institut Teknologi Sepuluh Nopember, Faculty of Mathematics and Science, 2015
 Artikel Jurnal
Feature selection methods based on mutual information for classifying heterogeneous features
by Ratri Enggar Pawening, Tio Darmawan, Rizqa Raaiqa Bintana, Agus Zainal Arifin, Darlis Herumurti
STT Nurul Jadid Paiton, Department of Informatics, 2016
 Artikel Jurnal
Ferdian
Pengembangan proses biomachining multi-axis dengan bakteri acidithiobacillus ferrooxidans NBRC 14262 dan analisis pengaruh inklinasi benda kerja dalam cairan medium kultur = development of multi-axis biomachining using acidithiobacillus ferrooxidans NBRC 14262 and analysis of the influence of inclination to the workpiece in cultured medium
Fakultas Teknik Universitas Indonesia, 2012
 UI - Skripsi Open
Ajeng Dwi Asti
Identifikasi Target, Kategori, dan Level Ujaran Kebencian pada Data Twitter Berbahasa Daerah Menggunakan Classical Machine Learning dan Deep Learning = Identification of Target, Category, and Level of Hate Speech from Regional Language on Twitter Data Using Classical Machine Learning and Deep Learning
Fakultas Ilmu Komputer Universitas Indonesia, 2022
 UI - Tesis Membership
Qusyairi Ridho Saeful Fitni
Evaluasi kinerja penerapan metode ensemble learning dan pemilihan fitur pada Intrusion Detection System (IDS) berbasis machine learning = Performance evaluation of machine learning-based intrusion detection system using ensemble learning method and feature selection
Fakultas Teknik Universitas Indonesia, 2020
 UI - Tesis Membership